A system frequency difference power coordination control method based on super capacitor energy storage

Abstract

The application discloses a system frequency difference power coordination control method based on super capacitor energy storage and belongs to the technical field of power system control, which comprises the following steps: S10, acquiring output power corresponding to the capacitor energy storage device when frequency deviation occurs and generating a power fluctuation interval based on the output power; S20, dividing the power fluctuation interval into,..., and representing the divided power fluctuation interval, and acquiring the residual capacity corresponding to the capacitor energy storage device in each divided power fluctuation interval. The application realizes accurate compensation and dynamic adjustment of the power grid output power by acquiring the output power of the capacitor energy storage device under frequency deviation and dividing the fluctuation interval, combining the constructed monitoring mechanism and feature extraction, effectively enhances the frequency stability and operation efficiency of the power grid, and reduces unnecessary power compensation and operation cost.

Description

Technical Field

[0001] This invention relates to the field of power system control technology, and in particular to a system frequency difference power coordination control method based on supercapacitor energy storage. Background Technology

[0002] In real-world scenarios, dynamic coordination of grid frequency deviation and power compensation in microgrids with a high proportion of renewable energy and large grid frequency support can maintain the stable operation of the power system while improving the renewable energy absorption capacity and optimizing economic efficiency.

[0003] System frequency deviation power coordination control based on supercapacitor energy storage can monitor grid frequency and renewable energy generation output in real time, achieving a dynamic balance between renewable energy generation and grid load. However, most existing technical solutions use a linear relationship between "frequency deviation and power regulation" to achieve localized rapid response, but do not fully consider the dynamic coupling relationship between the state of charge (SOC) of the supercapacitor and the system inertia. For example, in grids with a high proportion of renewable energy, a decrease in inertia may lead to an increase in frequency deviation prediction error, thereby affecting regulation accuracy. Summary of the Invention

[0004] In view of the problems existing in the field of power system control technology, the present invention is proposed.

[0005] Therefore, one of the objectives of this invention is to provide a system frequency difference power coordination control method based on supercapacitor energy storage. By acquiring the output power of the capacitor energy storage device under frequency deviation and dividing the fluctuation range, combined with the constructed monitoring mechanism and feature extraction, it realizes accurate compensation and dynamic adjustment of the grid output power; effectively enhances the frequency stability and operating efficiency of the grid, and reduces unnecessary power compensation and operating costs.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0007] A method for coordinated control of frequency difference power in a system based on supercapacitor energy storage includes:

[0008] S10: Obtain the output power corresponding to the frequency deviation of the capacitor energy storage device, and generate a power fluctuation range based on the output power;

[0009] S20: Divide the power fluctuation range into... , ,..., , Indicates the division of the first The remaining capacity corresponding to the capacitor energy storage device is obtained in each of the divided power fluctuation intervals.

[0010] S30: Construct a monitoring mechanism, which includes acquiring the output power of the power grid in each divided power fluctuation range and preset the safe output power of the power grid; in each power fluctuation range, the power fluctuation range with the largest fluctuation amplitude is marked as the reference fluctuation range;

[0011] S40: Feature extraction is performed in the reference fluctuation range, and the extraction method includes calculating the correlation between the power fluctuation in the reference fluctuation range and the output power of the power grid;

[0012] S50: Perform power compensation on the power grid based on the associated effects, and set a data set before power compensation, wherein the data set includes data of fluctuation amplitude corresponding to the remaining capacity and the reduction value of the power grid output power corresponding to the fluctuation amplitude;

[0013] S60: Obtain the fluctuation range corresponding to the minimum decrease value. If the fluctuation range shows an increasing trend, compensate the output power of the power grid based on the safe output power; otherwise, do not compensate.

[0014] In a preferred embodiment of the present invention, in step S40, the correlation between power fluctuations in the reference fluctuation range and the output power of the power grid is calculated using the following formula:

[0015] ;

[0016] In the formula, Indicates the time of the capacitor energy storage device ; output power;

[0017] The frequency modulation coefficient of the capacitor energy storage device is the change in the output power of the capacitor energy storage device when the frequency changes by 1 Hz.

[0018] This indicates the frequency deviation of the power grid, which is the difference between the actual frequency and the rated frequency.

[0019] This represents the reference power of the capacitor energy storage device.

[0020] In a preferred embodiment of the present invention, the correlation between the remaining capacity and the change in the grid's output power is analyzed based on the reduced value. The analysis method includes:

[0021] The output power of the capacitor energy storage device is calculated during the discharge phase after the capacitor energy storage device has completed charging.

[0022] A preset duration for the output power is defined, and at least three intervals for the output power variation are given within the preset duration. The variation intervals are the changes in output power when the remaining capacity of the capacitor energy storage device decreases by 10% during the discharge phase of the capacitor energy storage device.

[0023] In a preferred embodiment of the present invention, the output power of the capacitor energy storage device is calculated during the discharge phase after the charging of the capacitor energy storage device is completed, and is obtained according to the following formula:

[0024] ;in, This indicates the output power during the discharge phase;

[0025] In the formula, This represents the square difference of the voltage during the capacitor's discharge process, reflecting the amount of energy released by the capacitor. Capacitance represents the ability of a capacitor to store electrical charge. This represents the time variable, indicating the duration of the discharge process.

[0026] In a preferred embodiment of the present invention, the following formula is also included:

[0027] ;

[0028] In the formula, This indicates the output power of the capacitor energy storage device during the discharge phase.

[0029] Indicates at time The capacitor voltage at that time;

[0030] This represents the initial voltage at the start of the discharge phase.

[0031] This indicates the capacitor capacity after charging is complete.

[0032] This represents the output current during the discharge phase.

[0033] In a preferred embodiment of the present invention, the total capacity of the capacitor energy storage device before the discharge stage is obtained based on the calculated output power, the total capacity is divided into at least 5 capacity segments, the output power variation characteristics are obtained in each of the divided capacity segments, the variation characteristics include the output power attenuation characteristics, and the output power variation of the power grid is obtained based on the attenuation characteristics.

[0034] In a preferred embodiment of the present invention, the following steps are taken: The output power variation characteristics are obtained in each of the divided capacity segments. The method of obtaining the output power includes collecting the initial output power and initial capacity of each capacity segment based on the attenuation characteristics, and obtaining the output power of the capacitor energy storage device for each 1% decrease in capacity based on the initial capacity. The output power is marked as the target output power. In the future, the output power of a certain capacity segment is obtained for each 1% decrease in capacity within each of the divided capacity segments. If the output power is lower than the target output power, the remaining capacity of the capacitor energy storage device corresponding to the lower-than-target output power is obtained.

[0035] In a preferred embodiment of the present invention, the following is provided: based on the remaining capacity, relevant data is obtained when the output power is lower than the target output power. The relevant data includes the remaining capacity corresponding to a stable change in output power and the remaining capacity corresponding to a fluctuating change in output power. If the output power shows a decreasing trend in the remaining capacity corresponding to the fluctuating change, the output power of the power grid is compensated based on the safe output power; otherwise, no compensation is performed.

[0036] Beneficial effects:

[0037] 1. This invention obtains the output power of the capacitor energy storage device when a frequency deviation occurs and generates a power fluctuation range, which can accurately monitor and respond to changes in the grid frequency. When a frequency deviation occurs, it can quickly adjust the output power of the capacitor energy storage device, effectively smooth out grid frequency fluctuations, and improve the frequency stability of the grid.

[0038] 2. By constructing a monitoring mechanism, the output power of the power grid is obtained in each power fluctuation range, and a safe output power is preset. By calculating the correlation between power fluctuation in the reference fluctuation range and the output power of the power grid, a more scientific and reasonable power compensation strategy can be formulated. When the fluctuation amplitude shows an increasing trend, the power grid is compensated based on the safe output power, avoiding the problems of over-compensation or under-compensation.

[0039] 3. By obtaining the remaining capacity of the capacitor energy storage device in each power fluctuation range and analyzing it in conjunction with the change characteristics of the output power, this method can accurately grasp the remaining capacity of the capacitor energy storage device. This helps to adjust the charging and discharging strategy of the capacitor energy storage device in a timely manner when needed, extend its service life, and ensure the stable operation of the power grid.

[0040] 4. Based on the variation law of the remaining capacity of the capacitor energy storage device and the output power of the power grid, this method can maximize the energy storage capacity of the capacitor energy storage device while ensuring the safe operation of the power grid. This helps to reduce the operating cost of the power grid and improve the economic efficiency of the power grid.

[0041] 5. By calculating the output power during the discharge phase of the capacitor energy storage device and predicting the future output power changes of the power grid based on the characteristics of the output power changes, this dynamic adjustment and prediction enables the power grid to respond more flexibly to various operating conditions and make preparations for power adjustment and compensation in advance.

[0042] 6. By setting up a data set before power compensation and obtaining the fluctuation range corresponding to the minimum reduction value, this method can avoid compensation operations when the fluctuation range does not show an increasing trend. This helps to reduce unnecessary compensation operations and lower the operating costs and maintenance workload of the power grid. Attached Figure Description

[0043] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein:

[0044] Figure 1 This is a schematic diagram of the method flow according to an embodiment of the present invention. Detailed Implementation

[0045] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the described embodiments of the present invention are within the scope of protection of the present invention.

[0046] Because existing technical solutions do not fully consider the dynamic coupling relationship between the state of charge (SOC) of the supercapacitor and the system inertia, a decrease in inertia may lead to an increase in frequency deviation prediction error, thereby affecting the adjustment accuracy.

[0047] Based on this, the present invention proposes a system frequency difference power coordination control method based on supercapacitor energy storage. By acquiring the output power of the capacitor energy storage device under frequency deviation and dividing the fluctuation range, combined with the constructed monitoring mechanism and feature extraction, it realizes accurate compensation and dynamic adjustment of the grid output power; effectively enhances the frequency stability and operating efficiency of the grid, and reduces unnecessary power compensation and operating costs.

[0048] The present solution will be further described in detail below through embodiments and in conjunction with the accompanying drawings.

[0049] Reference Figure 1As one embodiment of the present invention, this embodiment provides a system frequency difference power coordination control method based on supercapacitor energy storage, including:

[0050] S10: Obtain the output power corresponding to the frequency deviation of the capacitor energy storage device, and generate a power fluctuation range based on the output power;

[0051] In this embodiment, the core of this step is to capture the power fluctuations caused by changes in grid frequency by real-time monitoring of the output power of the capacitor energy storage device, and to divide different fluctuation ranges for quantitative analysis.

[0052] This enables real-time and accurate monitoring of the impact of grid frequency changes on the output power of capacitor energy storage devices, providing a data foundation for subsequent control strategies.

[0053] Furthermore, by generating power fluctuation ranges, continuous power changes are discretized, which facilitates quantitative analysis and strategy formulation.

[0054] S20: Divide the power fluctuation range into , ,..., , Indicates the division of the first The remaining capacity corresponding to the capacitor energy storage device is obtained in each of the divided power fluctuation intervals.

[0055] In this embodiment, the power fluctuation range is divided into multiple sub-ranges, and the remaining capacity of the capacitor energy storage device is obtained in each sub-range.

[0056] This step involves refining the power fluctuation analysis while considering the impact of the remaining capacity of the capacitor storage device on the power compensation capability.

[0057] By dividing the system into multiple sub-intervals, the system behavior under different power fluctuation conditions can be analyzed in more detail.

[0058] By combining the remaining capacity information, the power compensation potential of the capacitor energy storage device in the current state can be assessed more accurately.

[0059] S30: Construct a monitoring mechanism, which includes acquiring the grid's output power in each divided power fluctuation range and presetting the grid's safe output power; in each power fluctuation range, the power fluctuation range with the largest fluctuation amplitude will be marked as the reference fluctuation range;

[0060] In this embodiment, a monitoring mechanism is constructed, including monitoring the output power of the power grid in each power fluctuation range and presetting the safe output power of the power grid;

[0061] At the same time, the range with the largest fluctuation amplitude is marked as the reference fluctuation range.

[0062] The purpose of this step is to establish a comprehensive monitoring system to ensure that the power grid operates within a safe range;

[0063] By monitoring multiple zones, a comprehensive understanding of the power grid's status can be achieved;

[0064] The system presets a safe output power and takes timely measures when fluctuations are too large to ensure the safe operation of the power grid.

[0065] Furthermore, a reference fluctuation range is marked to provide a benchmark for subsequent feature extraction and power compensation.

[0066] S40: Feature extraction is performed within the reference fluctuation range. The extraction method includes calculating the correlation between power fluctuations in the reference fluctuation range and the output power of the power grid.

[0067] In this embodiment, feature extraction is performed in the reference fluctuation range to calculate the correlation between power fluctuation in this range and the grid output power.

[0068] This method, through feature extraction, clarifies the specific impact of power fluctuations on the power grid, providing a basis for precise control.

[0069] Furthermore, it facilitates dynamic response to changes in grid frequency and timely adjustment of control strategies;

[0070] S50: Perform power compensation on the power grid based on the associated effects, and set up a data set before power compensation. The data set includes the fluctuation range corresponding to the remaining capacity and the reduction in the output power of the power grid corresponding to the fluctuation range.

[0071] In this embodiment, power compensation is performed on the power grid based on the results of the correlation impact analysis, and a data group before power compensation is set.

[0072] The data set includes the fluctuation range corresponding to the remaining capacity and the reduction in grid output power;

[0073] This step aims to implement specific power compensation measures based on the analysis results;

[0074] This method, based on detailed correlation analysis, implements precise power compensation to improve grid stability.

[0075] Setting up data groups provides data support for subsequent analysis and facilitates the optimization of control strategies.

[0076] S60: Obtain the fluctuation range corresponding to the minimum reduction value. If the fluctuation range shows an increasing trend, compensate the grid's output power based on the safe output power; otherwise, do not compensate.

[0077] In this embodiment, the fluctuation range corresponding to the minimum decrease value is obtained. If the fluctuation range shows an increasing trend, compensation is performed based on the safe output power; otherwise, no compensation is performed.

[0078] This step aims to avoid unnecessary compensation operations and reduce operating costs;

[0079] By judging the trend of fluctuations, we can avoid compensating when it is not needed and reduce overcompensation.

[0080] This can reduce unnecessary compensation operations, lower grid operating costs, and reduce maintenance workload.

[0081] In S40, the correlation between power fluctuations in the reference fluctuation range and the output power of the power grid is calculated using the following formula:

[0082] ;

[0083] In the formula, Indicates the time of the capacitor energy storage device ; output power;

[0084] This represents the frequency modulation coefficient of the capacitor energy storage device, which is the change in the output power of the capacitor energy storage device when the frequency changes by 1 Hz.

[0085] This indicates the frequency deviation of the power grid, which is the difference between the actual frequency and the rated frequency.

[0086] This indicates the reference power of the capacitor energy storage device.

[0087] Based on the analysis of the reduction value, the correlation between the remaining capacity and the change in the grid's output power is analyzed. The analysis methods include:

[0088] Calculate the output power of the capacitor energy storage device during the discharge phase after charging is completed.

[0089] The preset duration for output power is defined, and at least three intervals for output power variation are given within the duration. The variation intervals are the changes in output power when the remaining capacity of the capacitor energy storage device decreases by 10% during the discharge phase.

[0090] The output power of the capacitor energy storage device is calculated during the discharge phase after charging is completed, using the following formula:

[0091] ;in, This indicates the output power during the discharge phase;

[0092] In the formula, This represents the square difference of the voltage during the capacitor's discharge process, reflecting the amount of energy released by the capacitor. Capacitance represents the ability of a capacitor to store electrical charge. This represents the time variable, indicating the duration of the discharge process.

[0093] It also includes calculations based on the following formula:

[0094] ;

[0095] In the formula, This indicates the output power of the capacitor energy storage device during the discharge phase.

[0096] Indicates at time The capacitor voltage at that time;

[0097] This represents the initial voltage at the start of the discharge phase.

[0098] This indicates the capacitor capacity after charging is complete.

[0099] This represents the output current during the discharge phase.

[0100] It should be noted that, for the two formulas above, the first formula calculates the output power of the capacitor during the discharge phase using the voltage square difference, capacitance, and time. In the denominator, it is actually related to the rate of energy release, because power is the derivative of energy with respect to time (or the rate of change of energy), so time... The purpose of this is to convert energy changes into power;

[0101] The second formula is also used to calculate the output power of the capacitor energy storage device during the discharge stage, but the parameters have been adjusted to take into account the capacitor voltage, initial voltage, capacitor capacity and output current.

[0102] This formula calculates power by directly multiplying voltage and current, which more intuitively reflects the basic definition of electric power (i.e., the product of voltage and current).

[0103] It is also used to describe the power output of a capacitor during the discharge process, but focuses on calculations from the perspective of current.

[0104] Both formulas are used to calculate the output power of a capacitor energy storage device during the discharge phase, and are important bases for evaluating capacitor performance and formulating control strategies.

[0105] In practical applications, these two formulas can be used to verify each other, improving the accuracy and reliability of calculations. For example, the first formula can be used when the capacitance and voltage are known, while the second formula can be used when current data is more readily available.

[0106] Furthermore, depending on the specific application scenario and data acquisition conditions, a more suitable formula can be selected for calculation. This flexibility makes the method more practical and effective in real-world applications.

[0107] As an extension of S60, based on the calculated output power, the total capacity storage of the capacitor energy storage device before the discharge stage is obtained, the total capacity storage is divided into at least 5 capacity segments, the output power variation characteristics are obtained in each of the divided capacity segments, the variation characteristics include the output power attenuation characteristics, and the output power variation of the grid is obtained based on the attenuation characteristics.

[0108] The total storage capacity is divided into multiple capacity segments proportionally, and the output power variation characteristics, including attenuation characteristics, are obtained in each capacity segment.

[0109] Predict future changes in the power output of the power grid based on these characteristics;

[0110] This method, by dividing capacity segments and extracting features, clarifies the output power variation patterns under different capacity states;

[0111] Furthermore, predictions based on information such as attenuation characteristics improve the accuracy of forecasting future changes in the power output of the power grid, providing a basis for formulating more scientific and reasonable charging and discharging strategies and power compensation strategies.

[0112] The output power variation characteristics are obtained in each of the divided capacity segments. The method of obtaining the output power and initial capacity of each capacity segment are collected according to the attenuation characteristics. Based on the initial capacity, the output power of the capacitor energy storage device is obtained when the capacity decreases by 1%. The output power is marked as the target output power. In the future, in each of the divided capacity segments, the output power of a certain capacity segment when the capacity decreases by 1% is obtained. If the output power is lower than the target output power, the remaining capacity of the capacitor energy storage device corresponding to the lower-than-target output power is obtained.

[0113] Based on the remaining capacity, relevant data is obtained when the output power is lower than the target output power. The relevant data includes the remaining capacity corresponding to the stable change of output power and the remaining capacity corresponding to the fluctuation of output power. In the remaining capacity corresponding to the fluctuation, if the output power shows a decreasing trend, the output power of the grid is compensated based on the safe output power; otherwise, no compensation is performed.

[0114] In this embodiment, the output power changes smoothly, including a change of ≤2% in the output power.

[0115] Output power fluctuations, including output power changes of ≥2%;

[0116] In summary, this application achieves precise compensation and dynamic adjustment of the grid output power by accurately acquiring the output power of the capacitor energy storage device under frequency deviation and dividing the fluctuation range, combined with a detailed monitoring mechanism and feature extraction. At the same time, it uses two complementary calculation formulas to flexibly calculate the output power during the discharge stage, which improves the accuracy and reliability of the system response, effectively enhances the frequency stability and operating efficiency of the grid, reduces unnecessary power compensation and operating costs, and has significant practical application value.

[0117] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for power coordination control of system frequency difference based on super capacitor energy storage, characterized in that, Comprising: S10: obtaining the output power corresponding to the frequency deviation of the capacitor energy storage device, and generating a power fluctuation interval based on the output power; S20: Divide the power fluctuation range into... , ,..., , Indicates the division of the first The remaining capacity corresponding to the capacitor energy storage device is obtained in each of the divided power fluctuation intervals. S30: constructing a monitoring mechanism, which includes obtaining the output power of the power grid in each divided power fluctuation interval, and pre-setting the safe output power of the power grid; in each power fluctuation interval, the power fluctuation interval with the largest fluctuation amplitude is marked as the reference fluctuation interval; S40: feature extraction in the reference fluctuation interval, the extraction method includes calculating the correlation influence of the power fluctuation of the reference fluctuation interval on the output power of the power grid; S50: power compensation for the power grid based on the correlation influence, and setting a data set before power compensation, the data set includes the fluctuation amplitude corresponding to the remaining capacity, and the reduction value of the output power of the power grid corresponding to the fluctuation amplitude; S60: obtaining the fluctuation amplitude corresponding to the smallest reduction value, if the fluctuation amplitude shows an increasing trend, compensating the output power of the power grid based on the safe output power; otherwise, no compensation is performed; In the S40, the correlation influence of the power fluctuation of the reference fluctuation interval on the output power of the power grid is calculated according to the following formula: ； In the formula, represents the output power of the capacitive energy storage device at time t; a frequency modulation coefficient of the capacitive energy storage device, the frequency modulation coefficient being a change amount of output power of the capacitive energy storage device when the frequency changes by 1 Hz; represents a frequency deviation of the power grid, the frequency deviation being a difference between an actual frequency and a nominal frequency; represents a reference power of the capacitive energy storage device; Based on the reduction value, the correlation law of the change of the remaining capacity and the output power of the power grid is analyzed, and the analysis method includes: Calculate the output power of the capacitor energy storage device in the discharge stage after the capacitor energy storage device completes charging; Pre-set the duration of the output power, and give at least 3 change intervals of the output power in the duration, which is the change of the output power of the capacitor energy storage device when the remaining capacity of the capacitor energy storage device decreases by 10% in the discharge stage.

2. The method of claim 1, wherein the system frequency difference power coordination control method is based on super capacitor energy storage. Calculate the output power of the capacitor energy storage device in the discharge stage after the capacitor energy storage device completes charging according to the following formula: ; wherein, represents the output power during the discharging phase; wherein, represents the square difference of the voltage during the discharge process of the capacitor, reflecting how much the capacitor energy is released, is the capacitance, representing the ability of the capacitor to store electric charge; represents the time variable, representing the length of time of the discharge process.

3. The method of claim 2, wherein the system frequency difference power coordination control method based on super capacitor energy storage is characterized by, Also includes calculating according to the following formula: ； In the formula, represents the output power of the capacitor energy storage device in the discharging stage; represents the capacitance voltage at time t; V0 represents the initial voltage at the beginning of the discharge phase; represents the capacitance capacity after the charging is completed; represents the output current at the discharge phase.

4. The system frequency difference power coordination control method based on super capacitor energy storage according to claim 2 or 3, characterized in that, According to the calculated output power, the total capacity storage of the capacitor energy storage device before the discharge stage is obtained, the total capacity storage is divided into at least 5 capacity sections in proportion, the change characteristics of the output power in each divided capacity section are obtained, the change characteristics include the attenuation characteristics of the output power, and the change of the output power of the power grid is obtained based on the attenuation characteristics.

5. The method of claim 4, wherein the system frequency difference power coordination control method based on super capacitor energy storage is characterized by, In each divided capacity section, the change characteristics of the output power are obtained, the method includes collecting the initial output power and initial capacity of each capacity section according to the attenuation characteristics, and obtaining the output power of the capacitor energy storage device when the capacity decreases by 1% based on the initial capacity, and marking the output power as the target output power. In the future, in each divided capacity section, the output power of a certain capacity section when the capacity decreases by 1% is obtained, if the output power is lower than the target output power, the remaining capacity of the capacitor energy storage device corresponding to the output power lower than the target output power is obtained.

6. The method of claim 5, wherein the system frequency difference power coordination control method based on super capacitor energy storage is characterized by, According to the residual capacity, when the output power is lower than the target output power, relevant data is obtained, the relevant data including the residual capacity corresponding to smooth change of the output power and the residual capacity corresponding to fluctuation change of the output power, in the residual capacity corresponding to the fluctuation change, if the output power presents a downward trend change, the output power of the power grid is compensated based on the safety output power; otherwise, no compensation is performed.

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