CN117996785B - New energy device self-adaptive frequency modulation method, system and medium - Google Patents

Abstract

The embodiment of the present application provides a method, system and medium for adaptive frequency modulation of a new energy device. The method includes: obtaining standard working information and real-time working information of the new energy device, and extracting standard working characteristic data and real-time working characteristic data respectively, obtaining a first preset number of real-time working characteristic data according to a preset first time period, calculating and obtaining an effective frequency fluctuation index and judging the frequency modulation demand state, and then according to the frequency modulation demand state, obtaining real-time frequency modulation demand data through characteristic data of the new energy device, calculating the real-time frequency modulation demand data according to a preset second time period and obtaining effective frequency modulation demand data accordingly, obtaining frequency modulation mode parameters according to the real-time working characteristic data, and then obtaining frequency modulation instruction data, obtaining a frequency modulation scheme according to the frequency modulation instruction data and performing corresponding operations, and finally obtaining a frequency modulation operation effect according to the real-time optimized working characteristic data after frequency modulation.

Description

A new energy device adaptive frequency modulation method, system and medium

Technical Field

The present application relates to the field of new energy devices, and in particular to a method, system and medium for adaptive frequency modulation of new energy devices.

Background technique

As energy crisis and environmental problems become increasingly serious, new energy technologies have been widely used and developed, and the proportion of new energy in the energy structure is also increasing. With the rapid development of new energy, corresponding problems have also emerged. In new energy devices, due to the influence of various factors, there may be an imbalance between the output power and load power of the device, and then the frequency of the new energy device may change, thus affecting the stability and reliability of the system. Therefore, how to achieve adaptive frequency modulation of new energy devices and improve the stability and reliability of the device is a problem that needs to be solved in the current field of new energy technology.

In view of the above problems, effective technical solutions are urgently needed.

Summary of the invention

The purpose of the present application is to provide a method, system and medium for adaptive frequency modulation of a new energy device, which can obtain standard working information and real-time working information of the new energy device, and respectively extract standard working characteristic data and real-time working characteristic data, obtain a first preset number of real-time working characteristic data according to a preset first time period, calculate and obtain an effective frequency fluctuation index and judge the frequency modulation demand state, and then obtain the real-time frequency modulation demand data according to the frequency modulation demand state through the characteristic data of the new energy device, calculate the real-time frequency modulation demand data according to a preset second time period and obtain the effective frequency modulation demand data accordingly, calculate the frequency modulation mode parameters according to the real-time working characteristic data, and then obtain the frequency modulation instruction data, obtain the frequency modulation scheme according to the frequency modulation instruction data and perform the corresponding operation, and finally obtain the frequency modulation operation effect according to the real-time optimized working characteristic data after the frequency modulation.

The present application also provides a method for adaptive frequency modulation of a new energy device, comprising the following steps:

Obtaining standard working information and real-time working information of the new energy device, and extracting standard working characteristic data and real-time working characteristic data respectively;

Acquire a first preset quantity of the real-time operating characteristic data according to a preset first time period, calculate an effective frequency fluctuation index and determine a frequency modulation demand state;

According to the frequency modulation demand state, the real-time frequency modulation demand data of the new energy device is calculated by using the standard working characteristic data and the real-time working characteristic data;

Calculating the real-time frequency modulation demand data according to a preset second time period, acquiring a second preset amount of the real-time frequency modulation demand data, and calculating to obtain effective frequency modulation demand data;

Calculate frequency modulation mode parameters according to the real-time working characteristic data, and compare the effective frequency modulation demand data with the frequency modulation mode parameters to obtain frequency modulation instruction data;

Obtaining a frequency modulation scheme according to the frequency modulation instruction data and performing corresponding operations;

The real-time optimized working characteristic data after the frequency modulation operation is obtained, combined with the standard working characteristic data, processed to obtain the frequency modulation operation effect index, and the frequency modulation operation effect is obtained.

Optionally, in the adaptive frequency modulation method for a new energy device described in the present application, the step of acquiring standard operating information and real-time operating information of the new energy device and extracting standard operating characteristic data and real-time operating characteristic data respectively specifically includes:

Obtain standard operating information of new energy devices and extract standard operating characteristic data, including standard frequency data and standard energy storage data;

Acquire the real-time working information of the new energy device and extract the real-time working characteristic data, including the real-time active power of the new energy, the real-time load power and the real-time maximum available active power.

Optionally, in the adaptive frequency modulation method for a new energy device described in the present application, acquiring a first preset amount of real-time operating characteristic data according to a preset first time period, calculating an effective frequency fluctuation index and determining a frequency modulation demand state specifically includes:

Acquire a first preset quantity of the new energy real-time active power and real-time load power according to a preset first time period;

Compare the real-time active power of the new energy source with the real-time load power to obtain corresponding real-time frequency data;

Obtaining an effective frequency fluctuation index according to the first preset amount of real-time frequency data and standard frequency data;

Comparing the effective frequency fluctuation index with a preset frequency modulation demand threshold to obtain frequency modulation demand state data;

A frequency modulation demand state is correspondingly obtained according to the frequency modulation demand state data, including need for frequency modulation and need for no frequency modulation.

Optionally, in the adaptive frequency modulation method for a new energy device described in the present application, the obtaining of the real-time frequency modulation data of the new energy device by calculating the standard working characteristic data and the real-time working characteristic data according to the frequency modulation demand state specifically includes:

If the frequency modulation demand state is that frequency modulation is required, the real-time frequency modulation data of the new energy device is calculated according to the standard frequency data, the real-time active power of the new energy and the real-time load power;

The calculation formula for the real-time frequency modulation demand data of the new energy device is:

Among them, _Tx is the real-time frequency regulation demand data, _Sy is the real-time active power of new energy, _Sf is the real-time load power, and _Bp is the standard frequency data.

Optionally, in the adaptive frequency modulation method for new energy devices described in the present application, the calculating the real-time frequency modulation demand data according to the preset second time period, obtaining a second preset amount of the real-time frequency modulation demand data, and calculating to obtain the effective frequency modulation demand data specifically include:

The new energy device calculates and obtains the real-time frequency modulation demand data according to a preset second time period;

Acquire a second preset amount of the real-time frequency modulation demand data and calculate to obtain effective frequency modulation demand data;

The calculation formula of the effective frequency modulation demand data is:

Wherein, Y _x is effective frequency modulation demand data, T _xi represents the i-th real-time frequency modulation demand data, and n represents the second preset number.

Optionally, in the adaptive frequency modulation method for a new energy device described in the present application, the frequency modulation mode parameters are calculated according to the real-time working characteristic data, and the effective frequency modulation demand data is compared with the frequency modulation mode parameters to obtain the frequency modulation instruction data, specifically including:

Calculating frequency modulation mode parameters according to the real-time available maximum active power, the real-time active power of new energy and the real-time load power, including a first parameter and a second parameter;

The first parameter is the difference between the real-time available maximum active power and the real-time active power of the new energy, and the second parameter is the difference between the real-time available maximum active power and the real-time active power of the new energy after adding the standard energy storage data;

The effective frequency modulation requirement data is compared with the first parameter and the second parameter respectively to obtain frequency modulation instruction data.

Optionally, in the adaptive frequency modulation method for a new energy device described in the present application, obtaining a frequency modulation scheme according to the frequency modulation instruction data and performing corresponding operations specifically include:

Obtaining a frequency modulation scheme according to the frequency modulation instruction data, the frequency modulation scheme including adaptive frequency modulation, energy storage frequency modulation and grid-connected frequency modulation;

The frequency of the new energy device is modulated according to the frequency modulation scheme and the corresponding frequency modulation scheme is output to the display.

Optionally, in the adaptive frequency modulation method for a new energy device described in the present application, the real-time optimized working characteristic data after the frequency modulation operation is obtained, combined with the standard working characteristic data, and processed to obtain a frequency modulation operation effect index, and the frequency modulation operation effect is obtained, specifically including:

Obtain real-time optimized working characteristic data after frequency modulation operation, including real-time optimized active power of new energy and the latest load data;

Dividing the real-time optimized active power of the new energy source by the latest load data to obtain optimized frequency data;

Dividing the optimized frequency data by the standard frequency data to obtain a frequency modulation operation effect index;

The frequency modulation operation effect index is compared with a preset frequency modulation effect threshold to obtain the frequency modulation operation effect.

In a second aspect, the present application provides an adaptive frequency modulation system for a new energy device, the system comprising: a memory and a processor, the memory comprising a program of an adaptive frequency modulation method for a new energy device, and the program of the adaptive frequency modulation method for a new energy device when executed by the processor implements the following steps:

Obtaining standard working information and real-time working information of the new energy device, and extracting standard working characteristic data and real-time working characteristic data respectively;

Acquire a first preset quantity of the real-time operating characteristic data according to a preset first time period, calculate an effective frequency fluctuation index and determine a frequency modulation demand state;

According to the frequency modulation demand state, the real-time frequency modulation demand data of the new energy device is calculated by using the standard working characteristic data and the real-time working characteristic data;

Calculating the real-time frequency modulation demand data according to a preset second time period, acquiring a second preset amount of the real-time frequency modulation demand data, and calculating to obtain effective frequency modulation demand data;

Calculate frequency modulation mode parameters according to the real-time working characteristic data, and compare the effective frequency modulation demand data with the frequency modulation mode parameters to obtain frequency modulation instruction data;

Obtaining a frequency modulation scheme according to the frequency modulation instruction data and performing corresponding operations;

The real-time optimized working characteristic data after the frequency modulation operation is obtained, combined with the standard working characteristic data, processed to obtain the frequency modulation operation effect index, and the frequency modulation operation effect is obtained.

In a third aspect, the present application also provides a readable storage medium, which includes a program for an adaptive frequency modulation method for a new energy device. When the program for an adaptive frequency modulation method for a new energy device is executed by a processor, the steps of an adaptive frequency modulation method for a new energy device as described in any one of the above items are implemented.

As can be seen from the above, the adaptive frequency modulation method, system and medium of the new energy device provided by the present application. The method obtains the standard working information and real-time working information of the new energy device, and extracts the standard working characteristic data and the real-time working characteristic data respectively, obtains the real-time working characteristic data of the first preset time period according to the preset first time period, calculates and obtains the effective frequency fluctuation index and judges the frequency modulation demand state, and then obtains the real-time frequency modulation demand data according to the characteristic data of the new energy device according to the frequency modulation demand state, calculates the real-time frequency modulation demand data according to the preset second time period and obtains the effective frequency modulation demand data accordingly, obtains the frequency modulation mode parameters according to the real-time working characteristic data, and then obtains the frequency modulation instruction data, obtains the frequency modulation scheme according to the frequency modulation instruction data and performs the corresponding operation, and finally obtains the frequency modulation operation effect according to the real-time optimized working characteristic data after the frequency modulation.

Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or be understood by practicing the present application. The purpose and other advantages of the present application can be realized and obtained by the structures particularly pointed out in the written description and the drawings.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

FIG1 is a flow chart of a method for adaptive frequency modulation of a new energy device provided in an embodiment of the present application;

FIG2 is a flow chart of a method for determining a frequency modulation demand state of a new energy device adaptive frequency modulation provided by an embodiment of the present application;

FIG3 is a flow chart of obtaining effective frequency modulation demand data in a method for adaptive frequency modulation of a new energy device provided in an embodiment of the present application.

FIG4 is a flow chart of obtaining frequency modulation instruction data in a method for adaptive frequency modulation of a new energy device provided in an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

Please refer to FIG. 1 , which is a flow chart of a method for adaptive frequency modulation of a new energy device in some embodiments of the present application. The method for adaptive frequency modulation of a new energy device is used in a terminal device, such as a computer. The method for adaptive frequency modulation of a new energy device comprises the following steps:

S11, obtaining standard working information and real-time working information of the new energy device, and extracting standard working characteristic data and real-time working characteristic data respectively;

S12, acquiring a first preset quantity of the real-time operating characteristic data according to a preset first time period, calculating an effective frequency fluctuation index and determining a frequency modulation demand state;

S13, according to the frequency modulation demand state, calculating and obtaining the real-time frequency modulation demand data of the new energy device through the standard working characteristic data and the real-time working characteristic data;

S14, calculating the real-time frequency modulation demand data according to a preset second time period, obtaining a second preset amount of the real-time frequency modulation demand data, and calculating to obtain effective frequency modulation demand data;

S15, calculating and obtaining frequency modulation mode parameters according to the real-time working characteristic data, and comparing the effective frequency modulation demand data with the frequency modulation mode parameters to obtain frequency modulation instruction data;

S16, obtaining a frequency modulation scheme according to the frequency modulation instruction data and performing corresponding operations;

S17, obtaining the real-time optimized working characteristic data after the frequency modulation operation, combining it with the standard working characteristic data, processing to obtain the frequency modulation operation effect index, and obtaining the frequency modulation operation effect.

Among them, in order to realize the adaptive frequency modulation of the new energy device, it is necessary to first obtain the standard working information and real-time working information of the new energy device, and extract the standard working characteristic data and the real-time working characteristic data respectively. During the operation of the new energy device, the frequency will change dynamically. In order to better judge the frequency modulation demand, a first preset number of real-time working characteristic data is obtained according to the preset first time period, and the effective frequency fluctuation index is calculated to obtain the effective frequency fluctuation index. After comparing the effective frequency fluctuation index with the preset threshold, the frequency modulation demand state can be judged, that is, whether frequency modulation is needed; according to the frequency modulation demand state, it can be judged whether to perform the frequency modulation operation. If it is performed, the real-time frequency modulation demand data of the new energy device can be calculated according to the standard working characteristic data and the real-time working characteristic data. The real-time frequency modulation demand data of a single time period is also unstable. In order to better determine the frequency modulation demand data, the real-time frequency modulation demand data is calculated according to the preset second time period, the second preset number of real-time frequency modulation demand data is obtained, and the effective frequency modulation demand data is calculated; after obtaining the effective frequency modulation demand data, it is necessary to determine the frequency modulation method, so the frequency modulation method parameters are calculated through the real-time working characteristic data, and the effective frequency modulation demand data is compared with the frequency modulation method parameters to obtain the frequency modulation instruction data, and then the frequency modulation plan is obtained and the corresponding operation is performed. After performing the frequency modulation operation, the real-time optimized working characteristic data is obtained, combined with the standard working characteristic data, and processed to obtain the frequency modulation operation effect index, and the frequency modulation operation effect is obtained. The frequency modulation operation effect includes excellent, good and poor.

According to an embodiment of the present invention, the step of acquiring standard operating information and real-time operating information of the new energy device and extracting standard operating characteristic data and real-time operating characteristic data respectively specifically includes:

Obtain standard operating information of new energy devices and extract standard operating characteristic data, including standard frequency data and standard energy storage data;

Acquire the real-time working information of the new energy device and extract the real-time working characteristic data, including the real-time active power of the new energy, the real-time load power and the real-time maximum available active power.

Among them, new energy devices will have standard working parameters at the beginning of design and installation. The standard working information of the new energy device is obtained, and standard working characteristic data is extracted, that is, standard data or design data working under standard conditions, including standard frequency data and standard energy storage data. Standard energy storage data refers to the standard data of the energy storage device that matches the new energy device; during the operation of the new energy device, some parameters change in real time. Therefore, it is necessary to obtain the real-time working information of the new energy device and extract the real-time working characteristic data, including real-time active power, real-time load power and real-time maximum available active power. Real-time active power refers to the active power value output by the new energy device in real time. Real-time load power refers to the dynamic load power of the new energy device. The real-time maximum available active power is the maximum active power that the new energy device can provide at this moment and under this condition.

Please refer to Figure 2, which is a flow chart of determining the frequency modulation demand state of a new energy device adaptive frequency modulation method provided in an embodiment of the present application. According to an embodiment of the present invention, the real-time working characteristic data of a first preset quantity is obtained according to a preset first time period, the effective frequency fluctuation index is calculated and the frequency modulation demand state is determined, specifically including:

S21, acquiring a first preset quantity of the new energy real-time active power and real-time load power according to a preset first time period;

S22, comparing the real-time active power of the new energy with the real-time load power to obtain corresponding real-time frequency data;

S23, obtaining an effective frequency fluctuation index according to the first preset number of real-time frequency data and standard frequency data;

S24, comparing the effective frequency fluctuation index with a preset frequency modulation demand threshold to obtain frequency modulation demand state data;

S25. Obtain a frequency modulation demand state according to the frequency modulation demand state data, including whether frequency modulation is required or not.

The operation of the new energy device is a dynamic process. During operation, the real-time active power and real-time load power of the new energy of the first preset quantity are obtained according to the preset first time period. The preset first time period and the first preset quantity can be customized according to user needs. The real-time active power of the new energy is divided by the real-time load power to obtain the corresponding real-time frequency data. The effective frequency fluctuation index is obtained according to the real-time frequency data of the first preset quantity and the standard frequency data. Then, the effective frequency fluctuation index is compared with the preset frequency modulation demand threshold to obtain the frequency modulation demand state data, and the frequency modulation demand state is obtained accordingly, including the need for frequency modulation and the need for no frequency modulation. The calculation formula of the effective frequency fluctuation index is:

Among them, _Yb is the effective frequency fluctuation index, _Syj represents the j-th new energy real-time active power, _Sfj represents the j-th real-time load power, m represents the number of the second preset quantity, and _Bp is the standard frequency data.

According to an embodiment of the present invention, the step of calculating and obtaining the real-time frequency modulation data of the new energy device through the standard working characteristic data and the real-time working characteristic data according to the frequency modulation demand state specifically includes:

If the frequency modulation demand state is that frequency modulation is required, the real-time frequency modulation data of the new energy device is calculated according to the standard frequency data, the real-time active power of the new energy and the real-time load power;

The calculation formula for the real-time frequency modulation demand data of the new energy device is:

Among them, _Tx is the real-time frequency regulation demand data, _Sy is the real-time active power of new energy, _Sf is the real-time load power, and _Bp is the standard frequency data.

Among them, if the frequency regulation demand status of the new energy device is that frequency regulation is required, it is necessary to analyze whether the frequency of the new energy device is high or low. If the frequency is high, it means that the real-time active power of the new energy is too large or the real-time load power is too small. The real-time active power of the new energy must be reduced so that the frequency can be reduced to the standard frequency. If the frequency is low, it means that the real-time active power of the new energy is too small or the real-time load power is too large. The real-time active power of the new energy must be increased. The two situations correspond to two different calculation formulas.

Please refer to Figure 3, which is a flow chart of obtaining effective frequency modulation demand data of a new energy device adaptive frequency modulation method provided by an embodiment of the present application. According to an embodiment of the present invention, the real-time frequency modulation demand data is calculated according to a preset second time period, a second preset number of real-time frequency modulation demand data is obtained, and effective frequency modulation demand data is calculated, specifically including:

S31, the new energy device calculates and obtains the real-time frequency modulation demand data according to a preset second time period;

S32, obtaining a second preset amount of the real-time frequency modulation demand data and calculating to obtain effective frequency modulation demand data;

The calculation formula of the effective frequency modulation demand data is:

Wherein, Y _x is effective frequency modulation demand data, T _xi represents the i-th real-time frequency modulation demand data, and n represents the second preset number.

Among them, the real-time frequency modulation demand data is calculated according to the preset second time period, and the real-time frequency modulation demand data of the second preset number are obtained. The preset second time period and the second preset number can be set according to user needs. Since the real-time frequency modulation demand data at a single moment may have a certain degree of randomness, in order to make the frequency more stable and more in line with the frequency requirements, the effective frequency modulation demand data is calculated according to the obtained real-time frequency modulation demand data. The effective frequency modulation demand data is the data that can better reflect the real-time frequency modulation demand data.

Please refer to Figure 4, which is a flow chart of obtaining frequency modulation instruction data of a method for adaptive frequency modulation of a new energy device provided in an embodiment of the present application. According to an embodiment of the present invention, the frequency modulation mode parameters are calculated based on the real-time working characteristic data, and the effective frequency modulation demand data is compared with the frequency modulation mode parameters to obtain the frequency modulation instruction data, specifically including:

S41, calculating and obtaining frequency modulation mode parameters according to the real-time available maximum active power, the real-time active power of new energy and the real-time load power, including a first parameter and a second parameter;

S42: The first parameter is the difference between the real-time maximum available active power and the real-time active power of the new energy, and the second parameter is the difference between the real-time maximum available active power and the real-time active power of the new energy after adding the standard energy storage data;

S43, comparing the effective frequency modulation demand data with the first parameter and the second parameter respectively to obtain frequency modulation instruction data.

Among them, in order to better realize adaptive frequency modulation, different frequency modulation methods can be adopted according to the configuration of the new energy device and the effective frequency modulation demand data. The determination of the frequency modulation method requires obtaining the frequency modulation instruction data. First, the frequency modulation method parameters are calculated according to the real-time maximum available active power, the real-time active power of the new energy and the real-time load power, including the first parameter and the second parameter. The real-time maximum available active power refers to the maximum active power that the new energy device can provide according to the current situation at that moment. The real-time active power of the new energy refers to the active power output by the new energy device when it is running at that moment. The calculation formula of the first parameter is:

_Dy ＝ _Zg - _Sy ；

Among them, _Dy is the first parameter, _Zg is the real-time maximum available active power, and _Sy is the real-time active power of new energy; the calculation formula of the second parameter is:

_De = _Zg + _Bc - _Sy ;

Among them, De _is the second parameter, _Zg is the real-time maximum available active power, _Bc is the standard energy storage data, and _Sy is the real-time active power of new energy;

The frequency modulation instruction data is obtained by comparing the effective frequency modulation demand data with the first parameter and the second parameter respectively. In this embodiment, if the effective frequency modulation demand data is less than the first parameter, the frequency modulation instruction data is 0; if the effective frequency modulation demand data is greater than the first parameter and less than the second parameter, the frequency modulation instruction data is 1; if the effective frequency modulation demand data is greater than the second parameter, the frequency modulation instruction data is 11.

According to an embodiment of the present invention, obtaining a frequency modulation scheme according to the frequency modulation instruction data and performing corresponding operations specifically includes:

Obtaining a frequency modulation scheme according to the frequency modulation instruction data, the frequency modulation scheme including adaptive frequency modulation, energy storage frequency modulation and grid-connected frequency modulation;

The frequency of the new energy device is modulated according to the frequency modulation scheme and the corresponding frequency modulation scheme is output to the display.

Among them, the frequency modulation scheme is obtained according to the frequency modulation instruction data. Frequency modulation instruction data 0 corresponds to adaptive frequency modulation, that is, frequency modulation can be achieved by utilizing the real-time maximum available active power of the new energy device. Frequency modulation instruction data 1 corresponds to energy storage frequency modulation, that is, frequency modulation is achieved by utilizing the energy storage of the new energy device. Frequency modulation instruction data 11 corresponds to grid-connected frequency modulation, that is, frequency modulation cannot be achieved by utilizing the new energy device itself, and frequency modulation needs to be achieved with the help of other energy sources in the grid.

According to an embodiment of the present invention, the real-time optimized working characteristic data after the frequency modulation operation is obtained, combined with the standard working characteristic data, and processed to obtain the frequency modulation operation effect index, and the frequency modulation operation effect is obtained, specifically including:

Obtain real-time optimized working characteristic data after frequency modulation operation, including real-time optimized active power of new energy and the latest load data;

Dividing the real-time optimized active power of the new energy source by the latest load data to obtain optimized frequency data;

Dividing the optimized frequency data by the standard frequency data to obtain a frequency modulation operation effect index;

The frequency modulation operation effect index is compared with a preset frequency modulation effect threshold to obtain the frequency modulation operation effect.

Among them, after the new energy device adaptively modulates the frequency, it is necessary to judge the frequency modulation effect to evaluate the frequency modulation operation. First, the real-time optimized working characteristic data after the frequency modulation operation is obtained, including the real-time optimized active power of the new energy and the latest load data; the real-time optimized working characteristic data refers to the real-time active power of the new energy device after optimization, and the latest load refers to the load power data of the new energy device after optimization. The real-time optimized active power of the new energy is divided by the latest load data to obtain the optimized frequency data, and then the optimized frequency data is divided by the standard frequency data to obtain the frequency modulation operation effect index, and then the frequency modulation operation effect index is compared with the preset frequency modulation effect threshold to obtain the frequency modulation operation effect, including excellent, good and poor.

The present invention also discloses an adaptive frequency modulation system for a new energy device, comprising a memory and a processor, wherein the memory comprises an adaptive frequency modulation method program for a new energy device, and when the adaptive frequency modulation method program for a new energy device is executed by the processor, the following steps are implemented:

Obtaining standard working information and real-time working information of the new energy device, and extracting standard working characteristic data and real-time working characteristic data respectively;

Acquire a first preset quantity of the real-time operating characteristic data according to a preset first time period, calculate an effective frequency fluctuation index and determine a frequency modulation demand state;

According to the frequency modulation demand state, the real-time frequency modulation demand data of the new energy device is calculated by using the standard working characteristic data and the real-time working characteristic data;

Calculating the real-time frequency modulation demand data according to a preset second time period, acquiring a second preset amount of the real-time frequency modulation demand data, and calculating to obtain effective frequency modulation demand data;

Calculate frequency modulation mode parameters according to the real-time working characteristic data, and compare the effective frequency modulation demand data with the frequency modulation mode parameters to obtain frequency modulation instruction data;

Obtaining a frequency modulation scheme according to the frequency modulation instruction data and performing corresponding operations;

The real-time optimized working characteristic data after the frequency modulation operation is obtained, combined with the standard working characteristic data, processed to obtain the frequency modulation operation effect index, and the frequency modulation operation effect is obtained.

Among them, in order to realize the adaptive frequency modulation of the new energy device, it is necessary to first obtain the standard working information and real-time working information of the new energy device, and extract the standard working characteristic data and the real-time working characteristic data respectively. During the operation of the new energy device, the frequency will change dynamically. In order to better judge the frequency modulation demand, a first preset number of real-time working characteristic data is obtained according to the preset first time period, and the effective frequency fluctuation index is calculated to obtain the effective frequency fluctuation index. After comparing the effective frequency fluctuation index with the preset threshold, the frequency modulation demand state can be judged, that is, whether frequency modulation is needed; according to the frequency modulation demand state, it can be judged whether to perform the frequency modulation operation. If it is performed, the real-time frequency modulation demand data of the new energy device can be calculated according to the standard working characteristic data and the real-time working characteristic data. The real-time frequency modulation demand data of a single time period is also unstable. In order to better determine the frequency modulation demand data, the real-time frequency modulation demand data is calculated according to the preset second time period, the second preset number of real-time frequency modulation demand data is obtained, and the effective frequency modulation demand data is calculated; after obtaining the effective frequency modulation demand data, it is necessary to determine the frequency modulation method, so the frequency modulation method parameters are calculated through the real-time working characteristic data, and the effective frequency modulation demand data is compared with the frequency modulation method parameters to obtain the frequency modulation instruction data, and then the frequency modulation plan is obtained and the corresponding operation is performed. After performing the frequency modulation operation, the real-time optimized working characteristic data is obtained, combined with the standard working characteristic data, and processed to obtain the frequency modulation operation effect index, and the frequency modulation operation effect is obtained. The frequency modulation operation effect includes excellent, good and poor.

According to an embodiment of the present invention, the step of acquiring standard operating information and real-time operating information of the new energy device and extracting standard operating characteristic data and real-time operating characteristic data respectively specifically includes:

Obtain standard operating information of new energy devices and extract standard operating characteristic data, including standard frequency data and standard energy storage data;

Acquire the real-time working information of the new energy device and extract the real-time working characteristic data, including the real-time active power of the new energy, the real-time load power and the real-time maximum available active power.

Among them, new energy devices will have standard working parameters at the beginning of design and installation. The standard working information of the new energy device is obtained, and standard working characteristic data is extracted, that is, standard data or design data working under standard conditions, including standard frequency data and standard energy storage data. Standard energy storage data refers to the standard data of the energy storage device that matches the new energy device; during the operation of the new energy device, some parameters change in real time. Therefore, it is necessary to obtain the real-time working information of the new energy device and extract the real-time working characteristic data, including real-time active power, real-time load power and real-time maximum available active power. Real-time active power refers to the active power value output by the new energy device in real time. Real-time load power refers to the dynamic load power of the new energy device. The real-time maximum available active power is the maximum active power that the new energy device can provide at this moment and under this condition.

According to an embodiment of the present invention, acquiring a first preset amount of the real-time operating characteristic data according to a preset first time period, calculating the effective frequency fluctuation index and determining the frequency modulation demand state specifically includes:

Acquire a first preset quantity of the new energy real-time active power and real-time load power according to a preset first time period;

Compare the real-time active power of the new energy source with the real-time load power to obtain corresponding real-time frequency data;

Obtaining an effective frequency fluctuation index according to the first preset amount of real-time frequency data and standard frequency data;

Comparing the effective frequency fluctuation index with a preset frequency modulation demand threshold to obtain frequency modulation demand state data;

A frequency modulation demand state is correspondingly obtained according to the frequency modulation demand state data, including need for frequency modulation and no need for frequency modulation.

The operation of the new energy device is a dynamic process. During operation, the real-time active power and real-time load power of the new energy of the first preset quantity are obtained according to the preset first time period. The preset first time period and the first preset quantity can be customized according to user needs. The real-time active power of the new energy is divided by the real-time load power to obtain the corresponding real-time frequency data. The effective frequency fluctuation index is obtained according to the real-time frequency data of the first preset quantity and the standard frequency data. Then, the effective frequency fluctuation index is compared with the preset frequency modulation demand threshold to obtain the frequency modulation demand state data, and the frequency modulation demand state is obtained accordingly, including the need for frequency modulation and the need for no frequency modulation. The calculation formula of the effective frequency fluctuation index is:

Among them, _Yb is the effective frequency fluctuation index, _Syj represents the j-th new energy real-time active power, _Sfj represents the j-th real-time load power, m represents the number of the second preset quantity, and _Bp is the standard frequency data.

According to an embodiment of the present invention, the real-time frequency modulation data of the new energy device is calculated based on the frequency modulation demand state by using the standard working characteristic data and the real-time working characteristic data, specifically including:

If the frequency modulation demand state is that frequency modulation is required, the real-time frequency modulation data of the new energy device is calculated according to the standard frequency data, the real-time active power of the new energy and the real-time load power;

The calculation formula for the real-time frequency modulation demand data of the new energy device is:

Among them, _Tx is the real-time frequency regulation demand data, _Sy is the real-time active power of new energy, _Sf is the real-time load power, and _Bp is the standard frequency data.

Among them, if the frequency regulation demand status of the new energy device is that frequency regulation is required, it is necessary to analyze whether the frequency of the new energy device is high or low. If the frequency is high, it means that the real-time active power of the new energy is too large or the real-time load power is too small. The real-time active power of the new energy must be reduced so that the frequency can be reduced to the standard frequency. If the frequency is low, it means that the real-time active power of the new energy is too small or the real-time load power is too large. The real-time active power of the new energy must be increased. The two situations correspond to two different calculation formulas.

According to an embodiment of the present invention, the step of calculating the real-time frequency modulation demand data according to a preset second time period, acquiring a second preset amount of the real-time frequency modulation demand data, and calculating to obtain effective frequency modulation demand data specifically includes:

The new energy device calculates and obtains the real-time frequency modulation demand data according to a preset second time period;

Acquire a second preset amount of the real-time frequency modulation demand data and calculate to obtain effective frequency modulation demand data;

The calculation formula of the effective frequency modulation demand data is:

Wherein, Y _x is effective frequency modulation demand data, T _xi represents the i-th real-time frequency modulation demand data, and n represents the second preset number.

Among them, the real-time frequency modulation demand data is calculated according to the preset second time period, and the real-time frequency modulation demand data of the second preset number are obtained. The preset second time period and the second preset number can be set according to user needs. Since the real-time frequency modulation demand data at a single moment may have a certain degree of randomness, in order to make the frequency more stable and more in line with the frequency requirements, the effective frequency modulation demand data is calculated according to the obtained real-time frequency modulation demand data. The effective frequency modulation demand data is the data that can better reflect the real-time frequency modulation demand data.

According to an embodiment of the present invention, the step of calculating the frequency modulation mode parameters according to the real-time working characteristic data and comparing the effective frequency modulation demand data with the frequency modulation mode parameters to obtain the frequency modulation instruction data specifically includes:

Calculating frequency modulation mode parameters according to the real-time available maximum active power, the real-time active power of new energy and the real-time load power, including a first parameter and a second parameter;

The first parameter is the difference between the real-time available maximum active power and the real-time active power of the new energy, and the second parameter is the difference between the real-time available maximum active power and the real-time active power of the new energy after adding the standard energy storage data;

The effective frequency modulation requirement data is compared with the first parameter and the second parameter respectively to obtain frequency modulation instruction data.

Among them, in order to better realize adaptive frequency modulation, different frequency modulation methods can be adopted according to the configuration of the new energy device and the effective frequency modulation demand data. The determination of the frequency modulation method requires obtaining the frequency modulation instruction data. First, the frequency modulation method parameters are calculated according to the real-time maximum available active power, the real-time active power of the new energy and the real-time load power, including the first parameter and the second parameter. The real-time maximum available active power refers to the maximum active power that the new energy device can provide according to the current situation at that moment. The real-time active power of the new energy refers to the active power output by the new energy device when it is running at that moment. The calculation formula of the first parameter is:

_Dy ＝ _Zg - _Sy ；

Among them, _Dy is the first parameter, _Zg is the real-time maximum available active power, and _Sy is the real-time active power of new energy; the calculation formula of the second parameter is:

_De = _Zg + _Bc - _Sy ;

Among them, De _is the second parameter, _Zg is the real-time maximum available active power, _Bc is the standard energy storage data, and _Sy is the real-time active power of new energy;

The frequency modulation instruction data is obtained by comparing the effective frequency modulation demand data with the first parameter and the second parameter respectively. In this embodiment, if the effective frequency modulation demand data is less than the first parameter, the frequency modulation instruction data is 0; if the effective frequency modulation demand data is greater than the first parameter and less than the second parameter, the frequency modulation instruction data is 1; if the effective frequency modulation demand data is greater than the second parameter, the frequency modulation instruction data is 11.

According to an embodiment of the present invention, obtaining a frequency modulation scheme according to the frequency modulation instruction data and performing corresponding operations specifically includes:

Obtaining a frequency modulation scheme according to the frequency modulation instruction data, the frequency modulation scheme including adaptive frequency modulation, energy storage frequency modulation and grid-connected frequency modulation;

The new energy device is frequency modulated according to the frequency modulation scheme and the corresponding frequency modulation scheme is output to the display.

Among them, the frequency modulation scheme is obtained according to the frequency modulation instruction data. Frequency modulation instruction data 0 corresponds to adaptive frequency modulation, that is, frequency modulation can be achieved by utilizing the real-time maximum available active power of the new energy device. Frequency modulation instruction data 1 corresponds to energy storage frequency modulation, that is, frequency modulation is achieved by utilizing the energy storage of the new energy device. Frequency modulation instruction data 11 corresponds to grid-connected frequency modulation, that is, frequency modulation cannot be achieved by utilizing the new energy device itself, and frequency modulation needs to be achieved with the help of other energy sources in the grid.

According to an embodiment of the present invention, the real-time optimized working characteristic data after the frequency modulation operation is obtained, combined with the standard working characteristic data, and processed to obtain the frequency modulation operation effect index, and the frequency modulation operation effect is obtained, specifically including:

Obtain real-time optimized working characteristic data after frequency modulation operation, including real-time optimized active power of new energy and the latest load data;

Dividing the real-time optimized active power of the new energy source by the latest load data to obtain optimized frequency data;

Dividing the optimized frequency data by the standard frequency data to obtain a frequency modulation operation effect index;

The frequency modulation operation effect index is compared with a preset frequency modulation effect threshold to obtain the frequency modulation operation effect.

Among them, after the new energy device adaptively modulates the frequency, it is necessary to judge the frequency modulation effect to evaluate the frequency modulation operation. First, the real-time optimized working characteristic data after the frequency modulation operation is obtained, including the real-time optimized active power of the new energy and the latest load data; the real-time optimized working characteristic data refers to the real-time active power of the new energy device after optimization, and the latest load refers to the load power data of the new energy device after optimization. The real-time optimized active power of the new energy is divided by the latest load data to obtain the optimized frequency data, and then the optimized frequency data is divided by the standard frequency data to obtain the frequency modulation operation effect index, and then the frequency modulation operation effect index is compared with the preset frequency modulation effect threshold to obtain the frequency modulation operation effect, including excellent, good and poor.

A third aspect of the present invention provides a readable storage medium, which includes a program for an adaptive frequency modulation method for a new energy device. When the program for the adaptive frequency modulation method for a new energy device is executed by a processor, the steps of an adaptive frequency modulation method for a new energy device as described in any one of the above items are implemented.

The present invention discloses an adaptive frequency modulation method, system and medium for a new energy device. The method obtains standard working information and real-time working information of the new energy device, and extracts standard working characteristic data and real-time working characteristic data respectively. According to a preset first time period, a first preset number of real-time working characteristic data is obtained, and an effective frequency fluctuation index is calculated to determine the frequency modulation demand state. Then, according to the frequency modulation demand state, the real-time frequency modulation demand data is calculated through the characteristic data of the new energy device, and the real-time frequency modulation demand data is calculated according to a preset second time period to obtain effective frequency modulation demand data. The frequency modulation mode parameters are calculated according to the real-time working characteristic data, and then the frequency modulation instruction data is obtained. According to the frequency modulation instruction data, a frequency modulation scheme is obtained and corresponding operations are performed. Finally, the frequency modulation operation effect is obtained according to the real-time optimized working characteristic data after frequency modulation.

In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored, or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims (3)

1. A method for adaptive frequency modulation of a new energy device, characterized by comprising: Obtaining standard working information and real-time working information of the new energy device, and extracting standard working characteristic data and real-time working characteristic data respectively; Acquire a first preset quantity of the real-time operating characteristic data according to a preset first time period, calculate an effective frequency fluctuation index and determine a frequency modulation demand state; According to the frequency modulation demand state, the real-time frequency modulation demand data of the new energy device is calculated by using the standard working characteristic data and the real-time working characteristic data; Calculating the real-time frequency modulation demand data according to a preset second time period, acquiring a second preset amount of the real-time frequency modulation demand data, and calculating to obtain effective frequency modulation demand data; Calculate frequency modulation mode parameters according to the real-time working characteristic data, and compare the effective frequency modulation demand data with the frequency modulation mode parameters to obtain frequency modulation instruction data; Obtaining a frequency modulation scheme according to the frequency modulation instruction data and performing corresponding operations; Acquire the real-time optimized working characteristic data after the frequency modulation operation, combine it with the standard working characteristic data, process it to obtain the frequency modulation operation effect index, and obtain the frequency modulation operation effect; The obtaining of standard working information and real-time working information of the new energy device, and extracting standard working characteristic data and real-time working characteristic data respectively, specifically includes: Obtain standard operating information of new energy devices and extract standard operating characteristic data, including standard frequency data and standard energy storage data; Obtain real-time working information of new energy devices and extract real-time working characteristic data, including real-time active power of new energy, real-time load power and real-time maximum available active power; The step of acquiring a first preset amount of the real-time operating characteristic data according to a preset first time period, calculating an effective frequency fluctuation index and determining a frequency modulation demand state specifically includes: Acquire a first preset quantity of the new energy real-time active power and real-time load power according to a preset first time period; Compare the real-time active power of the new energy source with the real-time load power to obtain corresponding real-time frequency data; Obtaining an effective frequency fluctuation index according to the first preset amount of real-time frequency data and standard frequency data; Comparing the effective frequency fluctuation index with a preset frequency modulation demand threshold to obtain frequency modulation demand state data; Obtaining a frequency modulation demand state according to the frequency modulation demand state data, including whether frequency modulation is required or not required; The step of calculating and obtaining the real-time frequency modulation demand data of the new energy device according to the frequency modulation demand state by using the standard working characteristic data and the real-time working characteristic data specifically includes: If the frequency modulation demand state is that frequency modulation is required, the real-time frequency modulation demand data of the new energy device is calculated according to the standard frequency data, the real-time active power of the new energy and the real-time load power; The calculation formula for the real-time frequency modulation demand data of the new energy device is: ; in, For real-time frequency modulation demand data, /> is the real-time active power of new energy,/> is the real-time load power, /> is the standard frequency data; The step of calculating the real-time frequency modulation demand data according to a preset second time period, acquiring a second preset amount of the real-time frequency modulation demand data, and calculating to obtain effective frequency modulation demand data specifically includes: The new energy device calculates and obtains the real-time frequency modulation demand data according to a preset second time period; Acquire a second preset amount of the real-time frequency modulation demand data and calculate to obtain effective frequency modulation demand data; The calculation formula of the effective frequency modulation demand data is: ; in, For effective frequency modulation demand data, /> represents the i-th real-time frequency modulation demand data, and n represents the second preset number; The step of calculating the frequency modulation mode parameters according to the real-time working characteristic data and comparing the effective frequency modulation demand data with the frequency modulation mode parameters to obtain the frequency modulation instruction data specifically includes: Calculating frequency modulation mode parameters according to the real-time available maximum active power, the real-time active power of new energy and the real-time load power, including a first parameter and a second parameter; The first parameter is the difference between the real-time available maximum active power and the real-time active power of the new energy, and the second parameter is the difference between the real-time available maximum active power and the real-time active power of the new energy after adding the standard energy storage data; Comparing the effective frequency modulation demand data with the first parameter and the second parameter respectively to obtain frequency modulation instruction data; The obtaining of a frequency modulation scheme according to the frequency modulation instruction data and performing corresponding operations specifically includes: Obtaining a frequency modulation scheme according to the frequency modulation instruction data, the frequency modulation scheme including adaptive frequency modulation, energy storage frequency modulation and grid-connected frequency modulation; Modulate the frequency of the new energy device according to the frequency modulation scheme and output the corresponding frequency modulation scheme to the display; The real-time optimized working characteristic data after the frequency modulation operation is obtained, combined with the standard working characteristic data, and processed to obtain the frequency modulation operation effect index, and the frequency modulation operation effect is obtained, specifically including: Obtain real-time optimized working characteristic data after frequency modulation operation, including real-time optimized active power of new energy and the latest load data; Dividing the real-time optimized active power of the new energy source by the latest load data to obtain optimized frequency data; Dividing the optimized frequency data by the standard frequency data to obtain a frequency modulation operation effect index; The frequency modulation operation effect index is compared with a preset frequency modulation effect threshold to obtain the frequency modulation operation effect. 2. A new energy device adaptive frequency modulation system, characterized in that it comprises a memory and a processor, wherein the memory comprises a new energy device adaptive frequency modulation method program, and when the new energy device adaptive frequency modulation method program is executed by the processor, the following steps are implemented: Obtaining standard working information and real-time working information of the new energy device, and extracting standard working characteristic data and real-time working characteristic data respectively; Acquire a first preset quantity of the real-time operating characteristic data according to a preset first time period, calculate an effective frequency fluctuation index and determine a frequency modulation demand state; According to the frequency modulation demand state, the real-time frequency modulation demand data of the new energy device is calculated by using the standard working characteristic data and the real-time working characteristic data; Calculating the real-time frequency modulation demand data according to a preset second time period, acquiring a second preset amount of the real-time frequency modulation demand data, and calculating to obtain effective frequency modulation demand data; Calculate frequency modulation mode parameters according to the real-time working characteristic data, and compare the effective frequency modulation demand data with the frequency modulation mode parameters to obtain frequency modulation instruction data; Obtaining a frequency modulation scheme according to the frequency modulation instruction data and performing corresponding operations; Acquire the real-time optimized working characteristic data after the frequency modulation operation, combine it with the standard working characteristic data, process it to obtain the frequency modulation operation effect index, and obtain the frequency modulation operation effect; The obtaining of standard working information and real-time working information of the new energy device, and extracting standard working characteristic data and real-time working characteristic data respectively, specifically includes: Obtain standard operating information of new energy devices and extract standard operating characteristic data, including standard frequency data and standard energy storage data; Obtain real-time working information of new energy devices and extract real-time working characteristic data, including real-time active power of new energy, real-time load power and real-time maximum available active power; The step of acquiring a first preset amount of the real-time operating characteristic data according to a preset first time period, calculating an effective frequency fluctuation index and determining a frequency modulation demand state specifically includes: Acquire a first preset quantity of the new energy real-time active power and real-time load power according to a preset first time period; Compare the real-time active power of the new energy source with the real-time load power to obtain corresponding real-time frequency data; Obtaining an effective frequency fluctuation index according to the first preset amount of real-time frequency data and standard frequency data; Comparing the effective frequency fluctuation index with a preset frequency modulation demand threshold to obtain frequency modulation demand state data; Obtaining a frequency modulation demand state according to the frequency modulation demand state data, including whether frequency modulation is required or not required; The step of calculating and obtaining the real-time frequency modulation demand data of the new energy device according to the frequency modulation demand state by using the standard working characteristic data and the real-time working characteristic data specifically includes: If the frequency modulation demand state is that frequency modulation is required, the real-time frequency modulation demand data of the new energy device is calculated according to the standard frequency data, the real-time active power of the new energy and the real-time load power; The calculation formula for the real-time frequency modulation demand data of the new energy device is: ; in, For real-time frequency modulation demand data, /> is the real-time active power of new energy,/> is the real-time load power, /> is the standard frequency data; The step of calculating the real-time frequency modulation demand data according to a preset second time period, acquiring a second preset amount of the real-time frequency modulation demand data, and calculating to obtain effective frequency modulation demand data specifically includes: The new energy device calculates and obtains the real-time frequency modulation demand data according to a preset second time period; Acquire a second preset amount of the real-time frequency modulation demand data and calculate to obtain effective frequency modulation demand data; The calculation formula of the effective frequency modulation demand data is: ; in, For effective frequency modulation demand data, /> represents the i-th real-time frequency modulation demand data, and n represents the second preset number; The step of calculating the frequency modulation mode parameters according to the real-time working characteristic data and comparing the effective frequency modulation demand data with the frequency modulation mode parameters to obtain the frequency modulation instruction data specifically includes: Calculating frequency modulation mode parameters according to the real-time available maximum active power, the real-time active power of new energy and the real-time load power, including a first parameter and a second parameter; The first parameter is the difference between the real-time available maximum active power and the real-time active power of the new energy, and the second parameter is the difference between the real-time available maximum active power and the real-time active power of the new energy after adding the standard energy storage data; Comparing the effective frequency modulation demand data with the first parameter and the second parameter respectively to obtain frequency modulation instruction data; The obtaining of a frequency modulation scheme according to the frequency modulation instruction data and performing corresponding operations specifically includes: Obtaining a frequency modulation scheme according to the frequency modulation instruction data, the frequency modulation scheme including adaptive frequency modulation, energy storage frequency modulation and grid-connected frequency modulation; Modulate the frequency of the new energy device according to the frequency modulation scheme and output the corresponding frequency modulation scheme to the display; The real-time optimized working characteristic data after the frequency modulation operation is obtained, combined with the standard working characteristic data, and processed to obtain the frequency modulation operation effect index, and the frequency modulation operation effect is obtained, specifically including: Obtain real-time optimized working characteristic data after frequency modulation operation, including real-time optimized active power of new energy and the latest load data; Dividing the real-time optimized active power of the new energy source by the latest load data to obtain optimized frequency data; Dividing the optimized frequency data by the standard frequency data to obtain a frequency modulation operation effect index; The frequency modulation operation effect index is compared with a preset frequency modulation effect threshold to obtain the frequency modulation operation effect. 3. A computer-readable storage medium, characterized in that the computer-readable storage medium includes a new energy device adaptive frequency modulation method program, and when the new energy device adaptive frequency modulation method program is executed by a processor, the steps of the new energy device adaptive frequency modulation method as described in claim 1 are implemented.