CN108429287A - A kind of honourable power slide control and system based on mixed energy storage system - Google Patents

Abstract

The invention discloses a wind-solar power smooth control method and system based on a hybrid energy storage system. The method includes: obtaining the wind and wind output power at the current moment; the wind and wind output power includes wind power output power and photovoltaic output power; according to the wind and wind output power at the current moment, using a weighted moving average algorithm to calculate the high frequency of the wind and wind output power at the current moment power; the high-frequency power is stabilized by a supercapacitor; the low-frequency power of the wind-solar output power is calculated by using a low-pass filter algorithm according to the current wind-solar output power; the low-frequency power is stabilized by a battery. The invention makes full use of the advantages of high energy density of batteries and high power density of supercapacitors, so as to stabilize power fluctuations in different frequency ranges, reduce wind power fluctuations, and meet grid-connected requirements.

Description

A wind-solar power smoothing control method and system based on a hybrid energy storage system

technical field

The invention relates to the field of wind power generation, in particular to a wind power smooth control method and system based on a hybrid energy storage system.

Background technique

Wind and wind output power has strong randomness and volatility. Although wind and light output have a certain natural complementarity at multiple time scales, the combined output of the two can offset part of the medium-to-long-term and short-term power fluctuations, but in a In a short control period, its stability is still difficult to be guaranteed. Therefore, when the two are combined for output, it is necessary to cooperate with a reasonable control strategy of the energy storage system to make the combined output power of wind and storage meet the grid-connected requirements under its power smoothing mode. .

Contents of the invention

The purpose of the present invention is to provide a wind-solar power smoothing control method and system based on a hybrid energy storage system, which can reduce fluctuations in wind-solar power and make it meet grid-connected requirements.

To achieve the above object, the present invention provides the following scheme:

A method for smoothing wind and solar power based on a hybrid energy storage system, the method comprising:

Acquiring the wind power output power at the current moment; the wind power output power includes wind power output power and photovoltaic output power;

According to the wind and wind output power at the current moment, the weighted moving average algorithm is used to calculate the high frequency power of the wind and wind output power at the current moment;

The high-frequency power is stabilized by a supercapacitor;

According to the wind and wind output power at the current moment, a low-pass filter algorithm is used to calculate the low-frequency power of the wind and scenery output power at the current moment;

The low frequency power is damped by the battery.

Optionally, the stabilizing the high-frequency power through a supercapacitor specifically includes:

Obtain the output power of scenery at historical moments;

According to the wind and solar output power at the historical moment, the weighted moving average algorithm is used to calculate the high-frequency power of the wind and solar output power at the historical moment, and the historical high-frequency power is obtained;

Calculate the charging and discharging command value of the supercapacitor according to the historical wind and solar output power and the historical high-frequency power;

The high-frequency power of the wind and solar power at the current moment is adjusted through the charging and discharging command value of the supercapacitor.

Optionally, the adjusting the high-frequency power of the wind power at the current moment through the charge and discharge command value of the supercapacitor specifically includes:

Using a fuzzy control algorithm to correct the charge and discharge command value of the supercapacitor;

The high-frequency power of the wind and solar power at the current moment is adjusted through the corrected charging and discharging command value of the supercapacitor.

Optionally, the stabilizing the low-frequency power through the storage battery specifically includes:

According to the wind and wind output power at the historical moment, the low-frequency power of the wind and scenery output power at the historical moment is calculated by using a low-pass filter algorithm, and the historical low-frequency power is obtained;

Calculate the charging and discharging command value of the battery according to the historical wind and solar output power and historical low-frequency power;

The high-frequency power of the wind and solar power at the current moment is adjusted through the charging and discharging command value of the storage battery.

Optionally, the adjusting the high-frequency power of the wind and solar power at the current moment through the charging and discharging command value of the storage battery specifically includes:

Using a fuzzy control algorithm to correct the charging and discharging command value of the storage battery;

The low-frequency power of the wind and solar power at the current moment is adjusted according to the corrected charging and discharging command value of the storage battery.

The present invention also provides a wind-solar power smoothing control system based on a hybrid energy storage system, the system comprising:

An acquisition module, configured to acquire wind and wind output power at the current moment; the wind and wind output power includes wind power output power and photovoltaic output power;

The first calculation module is used to calculate the high-frequency power of the wind and wind output power at the current moment by using a weighted moving average algorithm according to the wind and wind output power at the current moment;

The first stabilization module is used to stabilize the high-frequency power through a supercapacitor;

The second calculation module is used to calculate the low-frequency power of the wind and wind output power at the current moment by using a low-pass filtering algorithm according to the wind and wind output power at the current moment;

The second stabilizing module is used for stabilizing the low-frequency power through the storage battery.

Optionally, the first stabilization module includes:

The first acquisition unit is used to acquire the output power of wind and light at historical moments;

The first calculation unit is used to calculate the high-frequency power of the wind-and-wind output power at the historical moment by using a weighted moving average algorithm according to the wind-and-wind output power at the historical moment, and obtain the historical high-frequency power;

The second calculation unit is used to calculate the charging and discharging instruction value of the supercapacitor according to the wind and solar output power at historical moments and the historical high-frequency power;

The first adjustment unit is configured to adjust the high-frequency power of the wind and solar power at the current moment through the charging and discharging command value of the supercapacitor.

Optionally, the first adjustment unit includes:

The first correction subunit is used to correct the charging and discharging instruction value of the supercapacitor by adopting a fuzzy control algorithm;

The first adjustment subunit is used to adjust the high-frequency power of the wind and wind power at the current moment through the corrected charging and discharging command value of the supercapacitor.

Optionally, the second stabilization module includes:

The third calculation unit is used to calculate the low-frequency power of the wind-and-wind output power at the historical moment by using a low-pass filtering algorithm according to the wind-and-wind output power at the historical moment, and obtain the historical low-frequency power;

The fourth calculation unit is used to calculate the charging and discharging command value of the storage battery according to the historical wind and solar output power and the historical low-frequency power;

The second adjustment unit is configured to adjust the high-frequency power of the wind and solar power at the current moment through the charging and discharging command value of the storage battery.

Optionally, the second adjustment unit includes:

The second repair subunit is used to correct the charging and discharging instruction value of the storage battery by using a fuzzy control algorithm;

The second adjustment subunit is configured to adjust the low-frequency power of the wind and solar power at the current moment through the corrected charging and discharging command value of the storage battery.

Compared with the prior art, the present invention has the following technical effects: the present invention adopts the weighted moving average algorithm to solve the power of higher frequency, and the fluctuation of this part of power is stabilized by the super capacitor; uses the low-pass filter algorithm to solve the power of lower frequency. , this part of the power fluctuation is stabilized by the battery. It makes full use of the advantages of high energy density of batteries and high power density of supercapacitors, so as to stabilize power fluctuations in different frequency ranges, reduce wind power fluctuations, and make them meet grid-connected requirements.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required in the embodiments. Obviously, the accompanying drawings in the following description are only some of the present invention. Embodiments, for those of ordinary skill in the art, other drawings can also be obtained according to these drawings without paying creative labor.

Fig. 1 is a flow chart of the steps of a wind-solar power smoothing control method based on a hybrid energy storage system provided by an embodiment of the present invention;

Fig. 2 is a structural block diagram of a wind-solar power smoothing control system based on a hybrid energy storage system provided by an embodiment of the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

The purpose of the present invention is to provide a wind-solar power smoothing control method and system based on a hybrid energy storage system, which can reduce fluctuations in wind-solar power and make it meet grid-connected requirements.

In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

As shown in Figure 1, a wind-solar power smoothing control method based on a hybrid energy storage system includes the following steps:

Step 101: Obtain the wind and wind output power at the current moment; the wind and wind output power includes wind power output power and photovoltaic output power.

Step 102: Calculate the high-frequency power of the wind and wind output power at the current moment by using a weighted moving average algorithm according to the wind and wind output power at the current moment.

Step 103: Stabilize the high-frequency power through a supercapacitor.

Specifically, obtain the output power of scenery at historical moments;

According to the wind and solar output power at the historical moment, the weighted moving average algorithm is used to calculate the high-frequency power of the wind and solar output power at the historical moment, and the historical high-frequency power is obtained;

Calculate the charging and discharging command value of the supercapacitor according to the historical wind and solar output power and the historical high-frequency power;

Using a fuzzy control algorithm to correct the charge and discharge command value of the supercapacitor;

The high-frequency power of the wind and solar power at the current moment is adjusted through the corrected charging and discharging command value of the supercapacitor.

The basic principle of the moving average algorithm is: use the method of moving backwards item by item, based on time series data, calculate the average value of a set of recent measured data, and use it as the predicted value in the future to reflect the long-term trend of data development and changes. When disturbed by periodic fluctuations and random fluctuations, the time series data will have large fluctuations, and it is difficult to show the development trend of the data. Using the moving average algorithm, the interference of these fluctuations can be reduced to a large extent, and then the trend line of the data can be displayed.

There are two inputs to the fuzzy controller: the first input is the output strength of the supercapacitor, the second input is the state of charge of the supercapacitor after charging and discharging, and the output is the correction coefficient of the power command value of the supercapacitor.

Step 104: Calculate the low-frequency power of the wind and landscape output power at the current moment by using a low-pass filtering algorithm according to the wind and wind output power at the current moment.

Step 105: Stabilize the low-frequency power through a storage battery.

Specifically, according to the wind and landscape output power at the historical moment, a low-pass filtering algorithm is used to calculate the low-frequency power of the wind and scenery output power at the historical moment, and the historical low-frequency power is obtained;

Calculate the charging and discharging command value of the battery according to the historical wind and solar output power and historical low-frequency power;

Using a fuzzy control algorithm to correct the charging and discharging command value of the storage battery;

The low-frequency power of the wind and solar power at the current moment is adjusted according to the corrected charging and discharging command value of the storage battery.

There are two inputs to the fuzzy controller: the first input is the output strength of the battery, the second input is the state of charge of the battery after charging and discharging, and the output is the correction coefficient of the power command value of the battery.

According to the above-mentioned specific embodiments provided by the present invention, the present invention discloses the following technical effects: the present invention uses a weighted moving average algorithm to solve higher frequency power, and the fluctuation of this part of power is stabilized by a super capacitor; Low-frequency power, the fluctuation of this part of power is stabilized by the battery. It makes full use of the advantages of high energy density of batteries and high power density of supercapacitors, so as to stabilize power fluctuations in different frequency ranges, reduce wind power fluctuations, and make them meet grid-connected requirements.

In addition, as shown in FIG. 2 , the present invention also provides a wind-solar power smoothing control system based on a hybrid energy storage system. The system includes:

The acquiring module 201 is configured to acquire the output power of the wind and the wind at the current moment; the output power of the wind and the wind includes the output power of wind power and the output power of photovoltaics.

The first calculation module 202 is configured to calculate the high-frequency power of the wind-solar output power at the current moment by using a weighted moving average algorithm according to the wind-solar output power at the current moment.

The first stabilization module 203 is configured to stabilize the high-frequency power through a supercapacitor.

The first stabilization module 203 specifically includes:

The first acquisition unit is used to acquire the output power of wind and light at historical moments;

The first calculation unit is used to calculate the high-frequency power of the wind-and-wind output power at the historical moment by using a weighted moving average algorithm according to the wind-and-wind output power at the historical moment, and obtain the historical high-frequency power;

The second calculation unit is used to calculate the charging and discharging instruction value of the supercapacitor according to the wind and solar output power at historical moments and the historical high-frequency power;

The first adjustment unit is configured to adjust the high-frequency power of the wind and solar power at the current moment through the charging and discharging command value of the supercapacitor.

The first adjustment unit includes:

The first correction subunit is used to correct the charging and discharging instruction value of the supercapacitor by adopting a fuzzy control algorithm;

The first adjustment subunit is used to adjust the high-frequency power of the wind and wind power at the current moment through the corrected charging and discharging command value of the supercapacitor.

The second calculation module 204 is configured to calculate the low-frequency power of the wind-solar output power at the current moment by using a low-pass filtering algorithm according to the wind-solar output power at the current moment.

The second stabilization module 205 is configured to stabilize the low-frequency power through the storage battery.

The second stabilization module 205 specifically includes:

The third calculation unit is used to calculate the low-frequency power of the wind-and-wind output power at the historical moment by using a low-pass filtering algorithm according to the wind-and-wind output power at the historical moment, and obtain the historical low-frequency power;

The fourth calculation unit is used to calculate the charging and discharging command value of the storage battery according to the historical wind and solar output power and the historical low-frequency power;

The second adjustment unit is configured to adjust the high-frequency power of the wind and solar power at the current moment through the charging and discharging command value of the storage battery.

The second adjustment unit includes:

The second repair subunit is used to correct the charging and discharging instruction value of the storage battery by using a fuzzy control algorithm;

The second adjustment subunit is used to adjust the low-frequency power of the wind and solar power at the current moment through the corrected charging and discharging command value of the storage battery

Through the above system, the fluctuation of wind and solar power can be reduced to meet the requirements of grid connection.

Each embodiment in this specification is described in a progressive manner, each embodiment focuses on the difference from other embodiments, and the same and similar parts of each embodiment can be referred to each other. As for the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and for relevant details, please refer to the description of the method part.

In this paper, specific examples have been used to illustrate the principle and implementation of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; meanwhile, for those of ordinary skill in the art, according to the present invention Thoughts, there will be changes in specific implementation methods and application ranges. In summary, the contents of this specification should not be construed as limiting the present invention.

Claims (10)

1. A wind-solar power smoothing control method based on a hybrid energy storage system, characterized in that the method comprises: Acquiring the wind power output power at the current moment; the wind power output power includes wind power output power and photovoltaic output power; According to the wind and wind output power at the current moment, the weighted moving average algorithm is used to calculate the high frequency power of the wind and wind output power at the current moment; The high-frequency power is stabilized by a supercapacitor; According to the wind and wind output power at the current moment, a low-pass filter algorithm is used to calculate the low-frequency power of the wind and scenery output power at the current moment; The low frequency power is damped by the battery. 2. The control method according to claim 1, wherein said smoothing said high-frequency power through a supercapacitor specifically comprises: Obtain the output power of scenery at historical moments; According to the wind and solar output power at the historical moment, the weighted moving average algorithm is used to calculate the high-frequency power of the wind and solar output power at the historical moment, and the historical high-frequency power is obtained; Calculate the charging and discharging command value of the supercapacitor according to the historical wind and solar output power and the historical high-frequency power; The high-frequency power of the wind and solar power at the current moment is adjusted through the charging and discharging command value of the supercapacitor. 3. The control method according to claim 2, wherein the adjustment of the high-frequency power of the wind and solar power at the current moment through the charge and discharge command value of the supercapacitor specifically includes: Using a fuzzy control algorithm to correct the charge and discharge command value of the supercapacitor; The high-frequency power of the wind and solar power at the current moment is adjusted through the corrected charging and discharging command value of the supercapacitor. 4. The control method according to claim 2, characterized in that the stabilizing the low-frequency power through the storage battery specifically comprises: According to the wind and wind output power at historical moments, low-pass filtering algorithm is used to calculate the low-frequency power of wind and scenery output power at historical moments, and the historical low-frequency power is obtained; Calculate the charging and discharging command value of the battery according to the historical wind and solar output power and historical low-frequency power; The high-frequency power of the wind and solar power at the current moment is adjusted through the charging and discharging command value of the storage battery. 5. The control method according to claim 4, wherein the adjustment of the high-frequency power of the wind and solar power at the current moment through the charging and discharging command value of the storage battery specifically includes: Using a fuzzy control algorithm to correct the charging and discharging command value of the storage battery; The low-frequency power of the wind and solar power at the current moment is adjusted according to the corrected charging and discharging command value of the storage battery. 6. A wind-solar power smoothing control system based on a hybrid energy storage system, characterized in that the system includes: An acquisition module, configured to acquire wind and wind output power at the current moment; the wind and wind output power includes wind power output power and photovoltaic output power; The first calculation module is used to calculate the high-frequency power of the wind and wind output power at the current moment by using a weighted moving average algorithm according to the wind and wind output power at the current moment; The first stabilization module is used to stabilize the high-frequency power through a supercapacitor; The second calculation module is used to calculate the low-frequency power of the wind and wind output power at the current moment by using a low-pass filtering algorithm according to the wind and wind output power at the current moment; The second stabilizing module is used for stabilizing the low-frequency power through the storage battery. 7. The control system according to claim 6, wherein the first stabilization module comprises: The first acquisition unit is used to acquire the output power of wind and light at historical moments; The first calculation unit is used to calculate the high-frequency power of the wind-and-wind output power at the historical moment by using a weighted moving average algorithm according to the wind-and-wind output power at the historical moment, and obtain the historical high-frequency power; The second calculation unit is used to calculate the charging and discharging instruction value of the supercapacitor according to the wind and solar output power at historical moments and the historical high-frequency power; The first adjustment unit is configured to adjust the high-frequency power of the wind and solar power at the current moment through the charging and discharging command value of the supercapacitor. 8. The control system according to claim 7, wherein the first adjustment unit comprises: The first correction subunit is used to correct the charging and discharging instruction value of the supercapacitor by adopting a fuzzy control algorithm; The first adjustment subunit is used to adjust the high-frequency power of the wind and wind power at the current moment through the corrected charging and discharging command value of the supercapacitor. 9. The control system according to claim 7, wherein the second stabilization module comprises: The third calculation unit is used to calculate the low-frequency power of the wind-and-wind output power at the historical moment by using a low-pass filtering algorithm according to the wind-and-wind output power at the historical moment, and obtain the historical low-frequency power; The fourth calculation unit is used to calculate the charging and discharging command value of the storage battery according to the historical wind and solar output power and the historical low-frequency power; The second adjustment unit is configured to adjust the high-frequency power of the wind and solar power at the current moment through the charging and discharging command value of the storage battery. 10. The control system according to claim 9, wherein the second adjustment unit comprises: The second repair subunit is used to correct the charging and discharging instruction value of the storage battery by using a fuzzy control algorithm; The second adjustment subunit is configured to adjust the low-frequency power of the wind and solar power at the current moment through the corrected charging and discharging command value of the storage battery.