CN114862615A - Method, device and computer equipment for aggregation of distributed power resources - Google Patents

Abstract

The present application relates to a method, apparatus, computer equipment, storage medium and computer program product for aggregating distributed power resources. The method includes: determining a plurality of distributed power resources belonging to the same geographical area; for a plurality of the distributed power resources in the same geographical area, according to the power data of each of the distributed power resources, Determine the distributed power resources belonging to the same feeder; for the distributed power resources belonging to the same geographical area and the same feeder, obtain a pairwise distribution according to the power data of each of the distributed power resources The first correlation degree of the distributed power resources is obtained; and the aggregation processing is performed on the pairwise distributed power resources whose first correlation degree meets the preset requirement. The method can aggregate multiple distributed power resources belonging to the same geographical area and the same feeder based on the actual power dispatching demand at the distribution network level, so as to enhance the aggregation effect.

Description

Method, device and computer equipment for aggregation of distributed power resources

technical field

The present application relates to the technical field of power grid scheduling, and in particular, to a method, apparatus, computer equipment, storage medium and computer program product for aggregating distributed power resources.

Background technique

Distributed power resources include both distributed power generation (such as distributed photovoltaics, natural gas power generation, distributed wind power, small hydropower and other distributed power sources as well as distributed energy storage, etc.) and comprehensive energy represented by combined cooling, heating and power. Including the regulation of flexible loads such as air conditioners, electric vehicles, and thermal storage electric boilers. With the large-scale application of distributed power resources, the proportion of random, fluctuating and intermittent small-scale distributed power resources in the power grid will increase, which will easily lead to negative impacts on the stability of power grid operation. Therefore, in order to ensure the safe and stable operation of the power grid, it is necessary to aggregate, analyze and manage distributed power resources.

In the traditional technology, considering the participation of virtual power plants in grid scheduling under power market conditions, multiple distributed power resources are usually aggregated at the main network level with the resource aggregator as the dimension, and multiple distributed power resources belonging to the same resource aggregator are aggregated. Resources as an aggregated result. However, when the aggregation method in the traditional technology is adopted, the actual grid scheduling demand at the distribution network level is not considered, which easily leads to poor aggregation effect of distributed power resources.

SUMMARY OF THE INVENTION

Based on this, it is necessary to provide a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for aggregation of distributed power resources with good aggregation effect, aiming at the above technical problems.

In a first aspect, the present application provides a method for aggregating distributed power resources. The method includes:

Identify multiple distributed power resources belonging to the same geographic area;

For a plurality of the distributed power resources in the same geographical area, according to the power data of each of the distributed power resources, determine the distributed power resources belonging to the same feeder;

For the distributed power resources belonging to the same geographical area and the same feeder, obtain the first correlation degree of the pairwise distributed power resources according to the power data of each of the distributed power resources;

Aggregation processing is performed on pairs of distributed power resources whose first degree of association meets a preset requirement.

In one of the embodiments, for the distributed power resources belonging to the same geographical area and the same feeder, the pairwise distributed power is obtained according to the power data of each of the distributed power resources The first degree of relevance of resources, including:

For the distributed power resources belonging to the same geographic area and the same feeder, the following processing is performed:

generating output characteristics of the distributed power resources according to the power data of the distributed power resources;

The output characteristics of a plurality of the distributed power resources are processed to generate the first correlation degree between the two distributed power resources.

In one of the embodiments, after performing the aggregation processing on the pairwise distributed power resources whose first correlation degree meets the preset requirement, the method further includes:

Iteratively adjusts the aggregation of a plurality of the distributed power resources according to the first correlation degree, and performs the following processing for the current iterative adjustment:

Determine the current output characteristics of the aggregated pairwise distributed power resources;

According to the current output characteristics of the distributed power resources after each aggregation process, the current correlation degree of the distributed power resources after the pairwise aggregation process is obtained;

performing aggregation processing on the two-by-two aggregated distributed power resources whose current correlations meet the preset requirements;

When the current iterative adjustment satisfies the stopping condition, stop the iterative adjustment of the aggregation conditions of a plurality of the distributed power resources;

When the current iterative adjustment does not satisfy the stopping condition, the above steps are repeated.

In one of the embodiments, after the aggregating processing of the pairwise distributed resources whose first degree of association meets a preset requirement, the method further includes:

determining the target output characteristics of the distributed power resources after aggregation processing;

generating an evaluation parameter corresponding to the current aggregation situation of the distributed power resource according to the target output characteristic of the distributed power resource;

When the evaluation parameter is less than a preset threshold, generating a second degree of correlation between the two distributed power resources according to the power data of the distributed power resources;

Perform aggregation processing on the two distributed power resources whose second degree of association meets the preset requirement.

In one embodiment, the power data includes power operation data and power ledger data;

The generating the output characteristic of the distributed power resource according to the power data of the distributed power resource includes:

determining a response index corresponding to the distributed power resource according to the power ledger data of the distributed power resource;

determining an adjustment amount index corresponding to the distributed power resource according to the power operation data of the distributed power resource;

The output characteristic of the distributed power resource is generated according to the response index and the adjustment amount index of the distributed power resource.

In one of the embodiments, the distributed power resources belonging to the same feeder are determined according to the power data of each of the distributed power resources for a plurality of the distributed power resources in the same geographical area ,include:

For a plurality of the distributed power resources in the same geographic area, the following processing is performed:

determining the power data of the distributed power resource according to the resource aggregator corresponding to the distributed power resource;

determining the voltage level corresponding to the distributed power resource according to the power data;

The distributed power resources belonging to the same feeder are determined according to the voltage levels of a plurality of the distributed power resources.

In a second aspect, the present application also provides a device for aggregation of distributed power resources. The device includes:

an area division module for determining multiple distributed power resources belonging to the same geographic area;

a feeder division module, configured to, for a plurality of the distributed power resources in the same geographical area, determine the distributed power resources belonging to the same feeder according to the power data of each of the distributed power resources;

The correlation degree acquisition module is used to obtain the data of the two distributed power resources according to the power data of each of the distributed power resources for the distributed power resources belonging to the same geographical area and the same feeder. the first degree of relevance;

The aggregation processing module is configured to perform aggregation processing on the pairwise distributed power resources whose first correlation degree meets the preset requirement.

In a third aspect, the present application also provides a computer device. The computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the method for aggregating distributed power resources according to any one of the embodiments of the first aspect when the processor executes the computer program.

In a fourth aspect, the present application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, and when the computer program is executed by the processor, implements the method for aggregating distributed power resources according to any one of the embodiments of the first aspect.

In a fifth aspect, the present application also provides a computer program product. The computer program product includes a computer program that implements the method for aggregating distributed power resources according to any one of the embodiments of the first aspect when the computer program is executed by a processor.

The aggregation method, device, computer equipment, storage medium and computer program product of the above-mentioned distributed power resources, by determining a plurality of distributed power resources belonging to the same geographical area, for a plurality of distributed power resources in the same geographical area, According to the power data of each distributed power resource, the distributed power resources belonging to the same feeder are determined, and for the distributed power resources belonging to the same geographical area and the same feeder, according to the power data of each distributed power resource, we obtain The first correlation degree of the paired distributed power resources, the aggregation processing of the paired distributed power resources whose first correlation degree meets the preset requirements can be based on the actual power dispatching requirements at the distribution network level. Multiple distributed power resources under the same feeder are aggregated to enhance the aggregation effect.

Description of drawings

1 is a schematic flowchart of a method for aggregating distributed power resources in one embodiment;

FIG. 2 is a schematic flowchart of an iterative adjustment step of aggregation in one embodiment;

FIG. 3 is a schematic flowchart of an evaluation parameter generation step in one embodiment;

4 is a schematic flowchart of a step of determining a feeder in one embodiment;

5 is a schematic flowchart of a step of determining an output characteristic in one embodiment;

6 is a schematic flowchart of a method for aggregating distributed power resources in another embodiment;

Figure 6a is a schematic diagram of the steps of geographical area division in one embodiment;

FIG. 6b is a schematic diagram of a step of dividing a feeder in an embodiment;

7 is a structural block diagram of an apparatus for aggregating distributed power resources in one embodiment;

FIG. 8 is a diagram of the internal structure of a computer device in one embodiment.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present application more clearly understood, the present application will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.

In one embodiment, as shown in FIG. 1, a method for aggregating distributed power resources is provided. In this embodiment, the method is applied to a server for illustration. It can be understood that the method can also be applied to a terminal. It can also be applied to a system including a terminal and a server, and is realized through the interaction between the terminal and the server. Wherein, the terminal can be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, IoT devices and portable wearable devices. IoT devices can be smart speakers, smart TVs, smart air conditioners, and smart vehicle-mounted devices. The portable wearable device may be a smart watch, a smart bracelet, a head-mounted device, or the like. The server can be implemented as an independent server or a server cluster composed of multiple servers.

In this embodiment, the method includes the following steps:

Step S102, determining a plurality of distributed power resources belonging to the same geographical area.

Specifically, the server acquires a plurality of distributed power resources in response to the resource aggregation request. According to the geographical area to which the distributed power resources belong, a plurality of distributed power resources are preliminarily aggregated, and the plurality of distributed power resources belonging to the same geographical area are used as an aggregation result after preliminary aggregation. The resource aggregation request may be manually triggered by the user, for example, the user clicks the corresponding resource aggregation button on the interface to trigger the resource aggregation request; it may also be automatically triggered by the server, for example, when the server detects that there are multiple distributed power resources, Automatically trigger resource aggregation requests.

Step S104, for a plurality of distributed power resources in the same geographical area, according to the power data of each distributed power resource, determine the distributed power resources belonging to the same feeder.

The power data can be used to characterize the power operation of the distributed power resources. In one example, the power data may include, but is not limited to, any one or more of operational data of distributed power resources (eg, output voltage, operating time, power generation, etc.), storage data, and ledger data.

Specifically, the feeder determination logic is pre-stored in the server. The following operations are performed for the plurality of distributed power resources in each geographic area: Power data for each distributed power resource is obtained. The feeder determination logic is used to judge the power data of each distributed power resource, and the feeder corresponding to each distributed power resource is determined. According to the feeders corresponding to the distributed power resources, secondary aggregation is performed on the multiple distributed power resources, and the multiple distributed power resources belonging to the same feeder are used as the aggregation result after the secondary aggregation. The feeder determination logic can compare the output voltage in the power data with the voltage threshold, determine the voltage level corresponding to the distributed power resource, and match the corresponding feeder for the distributed power resource according to the voltage level of the distributed power resource; or The feeder corresponding to the distributed power resource is determined according to the power data of the distributed power resource, the distribution network topology to which the distributed power resource belongs, and the geographical location of the distributed power resource.

Step S106, for the distributed power resources belonging to the same geographical area and the same feeder, according to the power data of each distributed power resource, obtain the first correlation degree of the pairwise distributed power resources.

Specifically, the server performs the following operations on the distributed power resources corresponding to each feeder in the same geographical area: perform arithmetic processing on the power data of the multiple distributed power resources, and generate the first number between the two distributed power resources. a correlation. In one example, the server may perform arithmetic processing on the power data of the multiple distributed power resources, and use the power data difference degree between the two distributed power resources as the first correlation degree between the two distributed power resources. In another example, the server may perform arithmetic processing on power data of multiple distributed power resources to determine the output characteristics of each distributed power resource. The output characteristics of a plurality of distributed power resources are calculated and processed to obtain a first degree of correlation between two distributed power resources.

Step S108, performing aggregation processing on the pairwise distributed power resources whose first correlation degree meets the preset requirement.

Specifically, preset requirements for aggregation processing are pre-stored in the server. The first correlation degree is judged by using the preset requirement, and the aggregation processing is performed on the two distributed power resources whose first correlation degree meets the preset requirement. The preset requirement may be to compare the first correlation degree with the aggregation threshold, and determine that the first correlation degree is greater than the aggregation threshold; it may also be to compare the first correlation degree between the first distributed power resource and a plurality of second distributed power resources. A correlation degree, performing aggregation processing on the second distributed power resource with the highest first correlation degree and the first distributed power resource.

In the traditional method for aggregating distributed power resources, multiple distributed power resources are aggregated in the dimension of the resource aggregator to which the distributed power resources belong. In the above method for aggregating distributed power resources, by determining multiple distributed power resources belonging to the same geographical area, for multiple distributed power resources in the same geographical area, according to the power data of each distributed power resource , determine the distributed power resources belonging to the same feeder, and for the distributed power resources belonging to the same geographical area and the same feeder, according to the power data of each distributed power resource, obtain the first association of the paired distributed power resources The first correlation degree meets the preset requirements for the aggregation processing of the two distributed power resources, which can be based on the actual power dispatching demand at the distribution network level. Resources are aggregated to enhance the aggregation effect.

In one embodiment, in step S106, for the distributed power resources belonging to the same geographical area and the same feeder, according to the power data of each distributed power resource, the first correlation degree of the paired distributed power resources is obtained, including : For the distributed power resources belonging to the same geographical area and the same feeder, the following processing is performed: according to the power data of the distributed power resources, the output characteristics of the distributed power resources are generated; processing to generate a first correlation degree between the two distributed power resources.

Specifically, the server performs the following processing for the distributed power resources belonging to the same geographical area and the same feeder: performing arithmetic processing on the power data of each distributed power resource to obtain the output characteristics of each distributed power resource. Calculating the output characteristics of the pairwise distributed power resources to generate a first degree of correlation between the pairwise distributed power resources.

In an example, the first correlation degree between two distributed power resources can be generated with reference to the following formula:

Among them, X represents the first distributed power resource, Y represents the second distributed power resource, ρ _{X, Y} represents the first degree of correlation between the two distributed power resources X and Y; E(X) represents the distribution E(Y) represents the output characteristics of distributed power resource Y. In an example, when the first correlation degree ρ _X,Y obtained by the server is greater than 1, it can be determined that the correlation degree between the distributed power resources X and Y is strong, and the distributed power resources X and Y can be aggregated.

In this embodiment, the output characteristics of the distributed power resources are generated according to the power data of the distributed power resources, and the output characteristics of the two distributed power resources are processed to generate the first association between the two distributed power resources. It can improve the accuracy of the first correlation degree, thereby enhancing the aggregation effect of the subsequent aggregation of distributed power resources based on the first correlation degree.

In one embodiment, as shown in FIG. 2 , in step S108, after performing aggregation processing on the pairwise distributed power resources whose first correlation degree meets the preset requirement, the method further includes:

Step S202: Determine the current output characteristics of the aggregated pairwise distributed power resources.

Specifically, after performing aggregation processing on pairs of distributed power resources whose first correlation degree meets the preset requirement, the server iteratively adjusts the aggregation situation of multiple distributed power resources according to the first correlation degree, and for the current iteration The adjustment is performed by the following processing: performing arithmetic processing on the power data of the aggregated pairwise distributed power resources to obtain the current output characteristics of the aggregated pairwise distributed power resources. In one example, the server may perform arithmetic processing on the power data of the aggregated pairwise distributed power resources, and take the mean value of the aggregated power data of the paired distributed power resources as the aggregated value of each distributed power resource. The current output characteristics of the resource. In another example, the server may also use the aggregated sum of the power data of each pair of distributed power resources as the current output characteristic of each distributed power resource after the aggregated processing.

Step S204 , according to the current output characteristics of each aggregated distributed power resource, the current correlation degree of the two-by-two aggregated distributed power resources is obtained.

Step S206, performing aggregation processing on the distributed power resources after the pairwise aggregation processing of which the current correlation degree meets the preset requirement.

Specifically, the server performs arithmetic processing on the current output characteristics of the multiple aggregated distributed power resources, and generates the current correlation degrees of the two aggregated distributed power resources. The preset requirements are used to judge the current correlation degree of the distributed power resources after the two-by-two aggregation processing. When it is determined that the current correlation degree is greater than the aggregation threshold, it is determined that the current correlation degree meets the preset requirements. The distributed power resources that have been aggregated in pairs are aggregated.

Step S208, it is judged whether the current iterative adjustment satisfies the stopping condition.

Step S210, stop iterative adjustment of the aggregation situation of multiple distributed power resources.

Specifically, the stop condition for iterative adjustment is pre-stored in the server. Use the stop condition to judge the current iterative adjustment, when it is determined that the current iterative adjustment does not meet the stop condition, repeat steps S202-S208 until it is determined that the current iterative adjustment meets the stop condition; when it is determined that the current iterative adjustment meets the stop condition, execute step S210, Stop making iterative adjustments to the aggregation of multiple distributed power resources. Wherein, the stop condition may be to judge the current cumulative number of iterations, determine that the current cumulative number of iterations is greater than the preset number of times threshold, and determine that the stop condition is satisfied; or it may be to compare the current output characteristics and output characteristics of the distributed power resources after the current aggregation processing. By comparison, it is determined that the difference between the current output characteristic and the output characteristic is less than a preset difference threshold, and it is determined that the stopping condition is satisfied.

In one example, the server aggregates the distributed power resources A, B, C, D, E, and F belonging to the same geographical area and the same feeder, and assigns the first correlation degree to A and B, C and D that meet the preset requirements. , E and F are aggregated, and the aggregated distributed power resources AB, CD, and EF are obtained. Perform arithmetic processing on the power data of A and B to determine the current output characteristics corresponding to AB after aggregation processing. Perform arithmetic processing on the power data of C and D to determine the current output characteristics corresponding to the aggregated CD. Perform arithmetic processing on the power data of E and F to determine the current output characteristics corresponding to the aggregated EF. Perform arithmetic processing on the current output characteristics of AB and CD after aggregation processing to determine the current degree of correlation between AB and CD. The above steps are repeated to determine the current degree of association between AB and EF and the current degree of association between CD and EF. Aggregate processing is performed on the AB and EF whose current association degree meets the preset requirements, to obtain the ABEF and CD after the current aggregation processing. The stop condition is used to judge the current iterative adjustment situation, it is determined that the stop condition is satisfied, and the iterative adjustment of multiple distributed power resources belonging to the same geographical area and the same feeder is stopped.

In this embodiment, by iteratively adjusting the aggregation of a plurality of distributed power resources according to the first correlation degree, the current correlation degree between the distributed power resources after the pairwise aggregation processing is determined, and the current correlation degree conforms to the preset The required distributed power resources after the aggregation processing are aggregated. When the current iterative adjustment does not meet the stopping condition, the aggregation iterative operation is repeated until it is determined that the current iterative adjustment meets the stopping condition, and the aggregation of multiple distributed power resources is stopped. Iterative adjustment of the situation can improve the aggregation accuracy of distributed power resources and further enhance the aggregation effect of distributed power resources.

In one embodiment, as shown in FIG. 3 , in step S108, after performing aggregation processing on the pairwise distributed power resources whose first correlation degree meets the preset requirement, the method further includes:

Step S302, determining the target output characteristics of the aggregated distributed power resources.

Step S304, according to the target output characteristics of the distributed power resources, generate evaluation parameters corresponding to the current aggregation situation of the distributed power resources.

Specifically, the server performs arithmetic processing on the power data of the aggregated pairwise distributed power resources to generate the aggregated target output characteristics of each distributed power resource. The target output characteristics and output characteristics of the distributed power resources are calculated and processed to generate evaluation parameters corresponding to the current aggregation situation of the distributed power resources. The specific operation of generating the target output characteristic can be implemented with reference to the generating steps of the current output characteristic provided in the above-mentioned embodiment, which will not be described in detail here.

In one example, the evaluation parameters can be generated with reference to the following formula:

Among them, s(i) represents the evaluation parameter corresponding to the current aggregation situation of distributed power resources, i represents the number of distributed power resources in the current aggregation situation, and a(i) represents the target output characteristics of the distributed resources in the current aggregation situation; b(i) represents the output characteristics according to distributed resources.

Step S306, when the evaluation parameter is less than the preset threshold, generate a second degree of correlation between two distributed power resources according to the power data of the distributed power resources.

Step S308, performing aggregation processing on the pairwise distributed power resources whose second correlation degree meets the preset requirement.

Specifically, a preset threshold is pre-stored in the server. Compare the evaluation parameters of the current aggregation situation with a preset threshold. When it is determined that the evaluation parameter is smaller than the preset threshold, the power data of each distributed power resource is subjected to arithmetic processing to generate the actual output characteristic of each distributed power resource. Calculating and processing the actual output characteristics of the pairwise distributed power resources to generate a second degree of correlation between the pairwise distributed power resources. The second correlation degree between the two distributed power resources is judged by using a preset requirement, it is determined that the second correlation degree meets the preset requirement, and the aggregation processing is performed on the two distributed power resources. The specific method for generating the second degree of association may be implemented with reference to the steps for generating the first degree of association provided in the foregoing embodiments, which will not be described in detail here.

In one example, the server may use 1 as the preset threshold. When the evaluation parameter s(i) obtained by the server is less than the preset threshold 1, it is determined that the current aggregation situation does not meet the standard, and it is necessary to re-acquire the output characteristics of the distributed power resources, and perform aggregation processing on the two distributed power resources again.

In this embodiment, by determining the target output characteristics of the aggregated distributed power resources, according to the target output characteristics, an evaluation parameter corresponding to the current aggregation situation of the distributed power resources is generated, and according to the comparison result between the evaluation parameter and the preset threshold, Determining whether it is necessary to perform aggregation processing on the distributed power resources again can improve the accuracy of the aggregation of the distributed power resources, thereby enhancing the aggregation effect of the distributed power resources.

In one embodiment, the power data includes power operating data and power ledger data. As shown in Figure 4, the steps are to generate the output characteristics of the distributed power resources according to the power data of the distributed power resources, including:

Step S402: Determine the response index corresponding to the distributed power resource according to the power ledger data of the distributed power resource.

Step S404, according to the power operation data of the distributed power resource, determine the adjustment amount index corresponding to the distributed power resource.

Step S406, generating the output characteristic of the distributed power resource according to the response index and the adjustment amount index of the distributed power resource.

The response index can be used to characterize the response rate of the distributed power resource to the power dispatch instruction.

Specifically, the server processes the power ledger data of each distributed power resource, and determines the response index corresponding to each distributed power resource. The power operation data of each distributed power resource is processed to determine the adjustment amount index corresponding to each distributed power resource. The response index and the adjustment amount index of the distributed power resources are calculated and processed to generate the output characteristics of the distributed power resources. In an example, when the distributed power resource is distributed energy storage, the server processes the power ledger data of the distributed energy storage to determine the speed at which the distributed energy storage responds to grid scheduling adjustment instructions (eg, minutes/seconds/ milliseconds). Process the power operation data of the distributed energy storage (such as the capacity of the energy storage, operating power, etc.), and determine the adjustment limit of the distributed energy storage (such as the degree of charge/discharge of the distributed energy storage, the amount of electricity that can be charged/discharged, etc.) power, etc.). The response speed and regulation amount limit of distributed energy storage are processed to generate the output characteristics of distributed energy storage.

In this embodiment, by determining the response index according to the power ledger data of the distributed power resources, determining the adjustment amount index according to the power operation data of the distributed power resources, and generating the output characteristics of the distributed resources according to the response index and the adjustment amount index, it is possible to The accuracy rate of the output characteristics is improved, thereby improving the accuracy rate of the first correlation degree subsequently obtained according to the output characteristics of the distributed power resources.

In one embodiment, as shown in FIG. 5 , in step S104, for multiple distributed power resources in the same geographical area, according to the power data of each distributed power resource, determine the distributed power resources belonging to the same feeder ,include:

Step S502: Determine the power data of the distributed power resource according to the resource aggregation quotient corresponding to the distributed power resource.

Step S504, according to the power data, determine the voltage level corresponding to the distributed power resource.

Step S506, according to the voltage levels of the multiple distributed power resources, determine the distributed power resources belonging to the same feeder.

Specifically, the server stores several voltage levels and feeder information corresponding to each voltage level. For multiple distributed power resources in the same geographic area, do the following: Determine the resource aggregator to which each distributed power resource belongs. Send a power data acquisition request to the resource aggregator corresponding to the distributed power resource, and receive the power data corresponding to each distributed power resource sent by the resource aggregator. The power data is processed to determine the voltage level corresponding to the distributed power resources. According to the feeder information corresponding to the voltage level, the feeder corresponding to the distributed power resource is determined, and several distributed power resources belonging to the same feeder are used as an aggregation result. In one example, the server may process the power data, determine the resource type to which the distributed power resources belong (for example, distributed photovoltaics, natural gas power generation, distributed energy storage, etc.), and determine the distributed power resources according to the resource type to which the distributed power resources belong. The voltage level corresponding to the power resource. In another example, the server may process the power data, determine the operating power of the distributed power resource, and determine the voltage level corresponding to the distributed power resource according to the operating power of the distributed power resource. For example, when the operating power of the distributed power resource is 800 watts, the voltage level of the distributed power resource is determined to be level 1; when the operating power of the distributed power resource is 2000 watts, the voltage level of the distributed power resource is determined to be level 3 class.

In this embodiment, the power data of the distributed power resources is obtained through the resource aggregator of the distributed power resources, the power data is processed, and the voltage level of the distributed power resources is determined, and according to the voltage levels of the multiple distributed power resources, Determining the distributed power resources belonging to the same feeder can aggregate distributed power resources at the distribution voltage level based on the actual power dispatching demand at the distribution network level, thereby enhancing the aggregation effect of distributed power resources.

In one embodiment, as shown in FIG. 6, a method for aggregating distributed power resources is provided, including:

Step S602: Determine multiple distributed power resources belonging to the same geographical area, and determine power operation data and power ledger data of the distributed power resources according to the resource aggregator corresponding to the distributed power resources.

Step S604: Determine the voltage level corresponding to the distributed power resources according to the power operation data and the power ledger data, and determine the distributed power resources belonging to the same feeder according to the voltage levels of the multiple distributed power resources.

Specifically, the server acquires multiple distributed power resources, and uses the multiple distributed power resources belonging to the same geographic region as a preliminary aggregation result according to the geographic region to which each distributed power resource belongs. Receive power operation data and power ledger data corresponding to each distributed power resource sent by the resource aggregator. The voltage level of each distributed power resource is determined according to each distributed power operation data and power ledger data. The feeder information corresponding to the voltage level is obtained, the feeder corresponding to each distributed power resource is obtained, and several distributed power resources belonging to the same feeder are determined.

In an example, as shown in Figure 6a, a city has a total of 9 distributed power resources (charging facilities, distributed photovoltaics, and energy storage in the figure), and two geographic areas M and N. The distributed power resources owned by a resource aggregator include charging facilities 2 and energy storage 1 in geographic area M, and energy storage 2 and distributed photovoltaics 2 in geographic area N. In the traditional aggregation method of distributed power resources, the charging facility 2, energy storage 1, energy storage 2 and distributed photovoltaic 2 owned by a resource aggregator are used as an aggregation result. However, in this embodiment, the charging facility 1, the distributed photovoltaic 1, the charging facility 2, and the energy storage 1 in the geographic area M are used as an aggregation result, and the distributed photovoltaic 2, the distributed photovoltaic 3, the storage Energy 2, Energy Storage 3, Charging Facility 2 as an aggregated result.

In one example, the geographic region to which the distributed power resource belongs is divided into a grid according to the voltage level of the distributed power resource and the corresponding feeder, and several distributed power resources belonging to the same feeder are divided into the same grid. As shown in Figure 6b, multiple distributed power resources with voltage levels in the range of 10-35kV are aggregated according to the feeders corresponding to the distributed power resources, and several distributed power resources belonging to the same feeder are determined. Taking the charging facility 1 corresponding to feeder A as an aggregation result, taking the distributed photovoltaic and charging facilities 2 corresponding to feeder B as an aggregation result, and taking the energy storage corresponding to feeder C as an aggregation result, one feeder corresponds to one grid, we get Aggregated results of the three meshes.

Step S606: Determine the response index corresponding to the distributed power resource according to the power ledger data of the distributed power resource, and determine the adjustment amount index corresponding to the distributed power resource according to the power operation data of the distributed power resource.

Step S608, according to the response index and the adjustment amount index corresponding to the distributed power resources, generate the output characteristics of the distributed power resources, process the output characteristics of the multiple distributed power resources, and generate the first number between the two distributed power resources. a correlation.

Specifically, the server performs the following operations on each distributed power resource: processing the power ledger data, and determining the response index. The power operation data is processed to determine the adjustment quantity index. The response index and the adjustment amount index are processed to generate the output characteristic. The output characteristics of a plurality of distributed power resources are processed to generate a first correlation degree between two distributed power resources. The specific output characteristic generating method may be implemented with reference to the outputting characteristic generating steps provided in the above-mentioned embodiments, which will not be described in detail here.

Step S610: Perform aggregation processing on pairs of distributed power resources whose first correlation degree meets a preset requirement, and iteratively adjust the aggregation situation of multiple distributed power resources according to the first correlation degree.

Step S612, it is judged whether the current iterative adjustment satisfies the stopping condition.

Step S614, stop iterative adjustment of the aggregation situation of multiple distributed power resources.

Specifically, the server performs aggregation processing on pairs of distributed power resources whose first correlation degree meets the preset requirements, performs iterative adjustment on the aggregation of multiple distributed power resources according to the first correlation degree, and executes the iterative adjustment for the current time. The following process is: performing arithmetic processing on the power data of the aggregated pairwise distributed power resources to obtain the current output characteristics of the aggregated pairwise distributed power resources. The current output characteristics of the multiple distributed power resources after the aggregation processing are processed, and the current correlation degree of the two distributed power resources after the aggregation processing is determined. Aggregate processing of multiple distributed power resources whose current correlations meet preset requirements. It is judged whether the current iterative adjustment satisfies the stopping condition, and when it is determined that the current iterative adjustment satisfies the stopping condition, step S614 is executed to stop the iterative adjustment of the aggregation of multiple distributed power resources; when it is determined that the current iterative adjustment does not meet the stopping condition, repeat Steps S608-S612, until it is determined that the current iterative adjustment satisfies the stopping condition. The specific iterative adjustment method can be implemented with reference to the iterative adjustment steps provided in the above-mentioned embodiments, which will not be described in detail here.

Step S616: Determine the target output characteristics of the distributed power resources after aggregation processing, and generate evaluation parameters corresponding to the current aggregation situation of the distributed power resources according to the target output characteristics of the distributed power resources.

Step S618, compare the evaluation parameter with a preset threshold.

Step S620, stop adjusting the aggregation situation of multiple distributed power resources.

Specifically, the server processes the power data of the aggregated distributed power resources, and determines the target output characteristics of the aggregated distributed power resources. The target output characteristics of the distributed power resources are processed to generate evaluation parameters corresponding to the current aggregation situation of the distributed power resources. The evaluation parameters are compared to preset thresholds. When it is determined that the evaluation parameter is greater than the preset threshold, step S620 is executed to stop adjusting the aggregation of multiple distributed power resources; when it is determined that the evaluation parameter is less than the preset threshold, steps S606-S618 are repeated until it is determined that the evaluation parameter is greater than the preset threshold. Set the threshold.

In this embodiment, by determining multiple distributed power resources belonging to the same geographical area, for multiple distributed power resources in the same geographical area, according to the power data of each distributed power resource, it is determined that they belong to the same feeder For the distributed power resources belonging to the same geographical area and the same feeder, according to the power data of each distributed power resource, the first correlation degree of each pair of distributed power resources is obtained. Based on the actual power dispatching requirements at the distribution network level, multiple distributed power resources belonging to the same geographical area and under the same feeder can be aggregated to Enhance the aggregation effect.

It should be understood that, although the steps in the flowcharts involved in the above embodiments are sequentially displayed according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, the execution of these steps is not strictly limited to the order, and these steps may be performed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but may be performed at different times The execution order of these steps or phases is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a part of the steps or phases in the other steps.

Based on the same inventive concept, an embodiment of the present application also provides a distributed power resource aggregation apparatus for implementing the above-mentioned distributed power resource aggregation method. The implementation solution for solving the problem provided by the device is similar to the implementation solution described in the above method, so the specific limitations in the embodiment of the aggregation device for one or more distributed power resources provided below can refer to the above for distributed power resources. The limitation of the power resource aggregation method will not be repeated here.

In one embodiment, as shown in FIG. 7 , an apparatus 700 for aggregating distributed power resources is provided, including: an area division module 702, a feeder division module 704, a correlation degree acquisition module 706, and an aggregation processing module 708, wherein:

The area division module 702 is used for determining a plurality of distributed power resources belonging to the same geographical area.

The feeder division module 704 is configured to, for multiple distributed power resources in the same geographical area, determine the distributed power resources belonging to the same feeder according to the power data of each distributed power resource.

The correlation degree obtaining module 706 is configured to obtain the first correlation degree of each pair of distributed power resources according to the power data of each distributed power resource for the distributed power resources belonging to the same geographical area and the same feeder.

The aggregation processing module 708 is configured to perform aggregation processing on pairs of distributed power resources whose first degree of correlation meets a preset requirement.

In one embodiment, the correlation degree obtaining module 706 includes: a characteristic obtaining unit, configured to perform the following processing for the distributed power resources belonging to the same geographical area and the same feeder: generate a distribution according to the power data of the distributed power resources The output characteristics of the distributed power resources; the correlation degree generating unit is used for processing the output characteristics of a plurality of distributed power resources to generate the first correlation degree between the two distributed power resources.

In one embodiment, the apparatus 700 for aggregating distributed power resources further includes: an iterative adjustment module, configured to iteratively adjust the aggregation situation of multiple distributed power resources according to the first correlation degree, and perform the following for the current iterative adjustment Processing: determine the current output characteristics of the two-by-two distributed power resources after the aggregation processing; obtain the current correlation degree of the distributed power resources after the two-by-two aggregation processing according to the current output characteristics of each aggregated distributed power resource; Perform aggregation processing on the distributed power resources whose current correlations meet the preset requirements after the pairwise aggregation processing; when the current iterative adjustment meets the stopping condition, stop iterative adjustment of the aggregation conditions of multiple distributed power resources; in the current iteration When the adjustment does not meet the stop condition, repeat the above steps.

In one embodiment, the apparatus 700 for aggregating distributed power resources further includes: an aggregation evaluation module, configured to determine the target output characteristics of the distributed power resources after aggregation processing; and generate distributed power resources according to the target output characteristics of the distributed power resources The evaluation parameter corresponding to the current aggregation situation of the power resources; when the evaluation parameter is less than the preset threshold, the second correlation degree between the two distributed power resources is generated according to the power data of the distributed power resources; The preset required distributed power resources are aggregated in pairs.

In one embodiment, the power data includes power operating data and power ledger data. The characteristic acquisition unit includes: a first index determination subunit, used for determining a response index corresponding to the distributed power resource according to the power ledger data of the distributed power resource; and a second index determination subunit, used for according to the distributed power resource The power operation data is used to determine the adjustment volume index corresponding to the distributed power resource; the characteristic determination subunit is used to generate the output characteristic of the distributed power resource according to the response index and the adjustment volume index of the distributed power resource.

In one embodiment, the feeder division module 704 includes: a data acquisition unit, configured to perform the following processing for a plurality of distributed power resources in the same geographical area: determine a distributed power resource according to a resource aggregator corresponding to the distributed power resources The power data of the power resources; the level determination unit is used to determine the voltage level corresponding to the distributed power resources according to the power data; the feeder determination unit is used to determine the distribution belonging to the same feeder according to the voltage levels of the multiple distributed power resources type power resources.

Each module in the above-mentioned apparatus for aggregating distributed power resources may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

In one embodiment, a computer device is provided, and the computer device may be a server, and its internal structure diagram may be as shown in FIG. 8 . The computer device includes a processor, memory, and a network interface connected by a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes non-volatile storage media and internal memory. The nonvolatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the execution of the operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used to store power data and output characteristics of the distributed power resources. The network interface of the computer device is used to communicate with an external terminal through a network connection. The computer program, when executed by a processor, implements a method for aggregating distributed power resources.

Those skilled in the art can understand that the structure shown in FIG. 8 is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer equipment to which the solution of the present application is applied. Include more or fewer components than shown in the figures, or combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is also provided, including a memory and a processor, where a computer program is stored in the memory, and the processor implements the steps in the foregoing method embodiments when the processor executes the computer program.

In one embodiment, a computer-readable storage medium is also provided, and a computer program is stored thereon, and when the computer program is executed by a processor, the steps in the foregoing method embodiments are implemented.

In one embodiment, a computer program product is provided, including a computer program, which implements the steps in each of the foregoing method embodiments when the computer program is executed by a processor.

It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all Information and data authorized by the user or fully authorized by the parties.

Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be implemented by instructing relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage In the medium, when the computer program is executed, it may include the processes of the above-mentioned method embodiments. Wherein, any reference to a memory, a database or other media used in the various embodiments provided in this application may include at least one of a non-volatile memory and a volatile memory. Non-volatile memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetic variable memory (Magnetoresistive Random Memory) Access Memory, MRAM), Ferroelectric Random Access Memory (FRAM), Phase Change Memory (Phase Change Memory, PCM), graphene memory, etc. Volatile memory may include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration and not limitation, the RAM may be in various forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM). The database involved in the various embodiments provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a blockchain-based distributed database, etc., but is not limited thereto. The processors involved in the various embodiments provided in this application may be general-purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, data processing logic devices based on quantum computing, etc., and are not limited to this.

The technical features of the above embodiments can be combined arbitrarily. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features It is considered to be the range described in this specification.

The above-mentioned embodiments only represent several embodiments of the present application, and the descriptions thereof are relatively specific and detailed, but should not be construed as a limitation on the scope of the patent of the present application. It should be pointed out that for those skilled in the art, without departing from the concept of the present application, several modifications and improvements can be made, which all belong to the protection scope of the present application. Therefore, the scope of protection of the present application should be determined by the appended claims.

Claims (10)

1. A method of aggregation of distributed power resources, the method comprising:

determining a plurality of distributed power resources belonging to the same geographic area;

for a plurality of distributed power resources in the same geographic area, determining distributed power resources belonging to the same feeder line according to power data of each distributed power resource;

aiming at distributed power resources belonging to the same geographic area and the same feeder line, obtaining a first association degree of every two distributed power resources according to the power data of each distributed power resource;

and aggregating every two distributed power resources with the first relevance meeting the preset requirement.

2. The method according to claim 1, wherein the obtaining, for distributed power resources belonging to the same geographic area and the same feeder, a first degree of association between every two distributed power resources according to the power data of each distributed power resource comprises:

for the distributed power resources belonging to the same geographical area and the same feeder, performing the following:

generating an output characteristic of the distributed power resource from the power data of the distributed power resource;

processing the output characteristics of the plurality of distributed power resources to generate the first degree of association between every two distributed power resources.

3. The method according to claim 2, wherein after the aggregating the pairwise distributed power resources with the first relevance meeting a preset requirement, the method further comprises:

performing iterative adjustment on the aggregation condition of the distributed power resources according to the first association degree, and executing the following processing aiming at the current iterative adjustment:

determining the current output characteristics of the aggregated two distributed power resources;

obtaining the current association degree of the distributed power resources subjected to pairwise aggregation processing according to the current output characteristics of the distributed power resources subjected to aggregation processing;

aggregating the distributed power resources subjected to pairwise aggregation processing, the current association degrees of which meet the preset requirements;

stopping iterative adjustment of the aggregation condition of the plurality of distributed power resources when the current iterative adjustment meets a stop condition;

and when the current iteration adjustment does not meet the stop condition, repeatedly executing the steps.

4. The method according to claim 2, wherein after the aggregating the pairwise distributed resources whose first association degrees meet a preset requirement, the method further comprises:

determining a target output characteristic of the aggregated distributed power resource;

generating an evaluation parameter corresponding to the current aggregation condition of the distributed power resources according to the target output characteristics of the distributed power resources;

when the evaluation parameter is smaller than a preset threshold value, generating a second association degree between every two distributed power resources according to the power data of the distributed power resources;

and aggregating every two distributed power resources with the second relevance meeting the preset requirement.

5. The method of claim 2, wherein the power data includes power operational data and power ledger data;

generating, by the processor, a performance characteristic of the distributed power resource based on the power data of the distributed power resource, including:

determining a response index corresponding to the distributed power resource according to the power ledger data of the distributed power resource;

determining a regulating quantity index corresponding to the distributed power resource according to the power operation data of the distributed power resource;

generating the output characteristics of the distributed power resources according to the response indicators and the adjustment indicators of the distributed power resources.

6. The method according to any one of claims 1 to 5, wherein the determining, for a plurality of the distributed power resources in the same geographic area, distributed power resources belonging to the same feeder from power data of each of the distributed power resources comprises:

for a plurality of the distributed power resources in the same geographic area, performing the following:

determining the power data of the distributed power resources according to resource aggregators corresponding to the distributed power resources;

determining a voltage level corresponding to the distributed power resource according to the power data;

determining the distributed power resources belonging to the same feeder line according to the voltage classes of a plurality of the distributed power resources.

7. An aggregation apparatus of distributed power resources, the apparatus comprising:

the system comprises a region dividing module, a resource allocation module and a resource allocation module, wherein the region dividing module is used for determining a plurality of distributed power resources belonging to the same geographic region;

the feeder dividing module is used for determining distributed power resources belonging to the same feeder according to power data of each distributed power resource aiming at a plurality of distributed power resources in the same geographic area;

the association degree obtaining module is used for obtaining a first association degree of every two distributed power resources according to the power data of each distributed power resource aiming at the distributed power resources belonging to the same geographic area and the same feeder line;

and the aggregation processing module is used for performing aggregation processing on the pairwise distributed power resources with the first association degrees meeting the preset requirements.

8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 6.

9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.

10. A computer program product comprising a computer program, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 6 when executed by a processor.

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