A method, device, electronic device and storage medium for evaluating the frequency regulation ability of a power grid

Abstract

The present invention provides a method, device, electronic device and storage medium for evaluating the frequency modulation ability of a power grid. The method includes: obtaining a first curve of the power generation power of the power grid based on the historical operation data of the power grid; obtaining the total frequency modulation response time of the power grid; dividing the first curve of the power generation power by using the total frequency modulation response time of the power grid as a first duration to obtain the fluctuation amplitude of the power generation power; obtaining the duration for which the energy storage system satisfies the power fluctuation of the power grid according to the fluctuation amplitude of the power generation power, the maximum output power of the energy storage system and the maximum energy storage power; and using the ratio of the duration satisfying the power fluctuation of the power grid to the total duration as the probability of the power grid frequency remaining stable to evaluate the frequency modulation ability of the power grid. By simultaneously considering the response time of the energy storage system and the influence of the energy storage frequency modulation response time of the power grid on the fast frequency response of the power grid, and by analyzing the historical records to obtain the probability of the power grid frequency remaining stable, the present invention realizes the quantitative evaluation of the support ability of the power grid.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid frequency regulation, and particularly to a method, device, electronic device and storage medium for evaluating the frequency regulation ability of a power grid. Background Art

[0002] The frequency of the power grid is closely related to the normal operation of power generation equipment and power consumption equipment. Therefore, the power grid needs to strictly control the frequency of the power grid during the process of supplying power to power consumption equipment. The adjustment of the power generation power of the power grid is the main means of power grid frequency regulation. The energy storage system is an auxiliary means for rapid power grid frequency regulation. The energy storage system stores the excess electric energy of the power grid when the power grid frequency is too high, and releases electric energy to the power grid when the power grid frequency is too low, so that the frequency of the power grid is maintained in a relatively balanced state. After the power grid accesses different power consumption equipment, power generation equipment and energy storage systems, it has different characteristics.

[0003] The prior art has realized the adjustment of the power grid power to control the change of the power grid frequency, so that the frequency of the power grid is maintained in a relatively stable state. For example, in the patent with the publication number CN111509739A, a power grid frequency control method and system are disclosed, and a power grid disconnection strategy is determined according to the relationship between the power grid power change amount and the total primary frequency regulation compensation load value of the power grid. The prior art provides a power grid frequency regulation strategy, but in the process of rapidly regulating the power grid frequency, it is necessary to quantitatively evaluate the response support ability of the power grid for power grid transformation. The prior art lacks a method for quantitatively evaluating the response support ability of power grid frequency regulation. Summary of the Invention

[0004] Embodiments of the present invention provide a method, device, electronic device and storage medium for evaluating the frequency regulation ability of a power grid to solve the problem that the prior art lacks a method for quantitatively evaluating the response support ability of power grid frequency regulation.

[0005] In a first aspect, an embodiment of the present invention provides a method for evaluating the frequency regulation ability of a power grid, including:

[0006] Based on the historical operation data of the power grid, obtain the first curve of the power generation power of the power grid at different times.

[0007] According to the response time of the energy storage system and the response time of the energy storage frequency regulation of the power grid, obtain the total response time of the power grid frequency regulation.

[0008] Use the total response time of the power grid frequency regulation as the first time period to divide the first curve of the power generation power, and obtain the fluctuation amplitude of the power generation power within each first time period.

[0009] According to the fluctuation amplitude of the power generation power within each first time period, the maximum output power of the energy storage system and the maximum energy storage power, obtain the duration for which the energy storage system satisfies the power grid power fluctuation.

[0010] Use the ratio of the duration for which the energy storage system meets the grid power fluctuation to the total duration of the first curve as the probability of the grid frequency remaining stable to evaluate the grid frequency regulation ability.

[0011] In a possible implementation, before obtaining the total response time of the grid frequency regulation based on the response time of the energy storage system and the response time of the grid energy storage frequency regulation, it further includes:

[0012] Based on the historical operation data of the grid, obtain the second curve of the grid frequency at different times.

[0013] Perform similarity matching on the first curve of the power generation power and the second curve of the grid frequency within the same time period to obtain the corresponding relationship of the characteristic points between the first curve and the second curve.

[0014] Calculate the time difference between the characteristic points of the first curve and the corresponding characteristic points of the second curve as the response time of the grid energy storage frequency regulation.

[0015] In a possible implementation, the energy storage system includes a first frequency regulation energy storage system and a second frequency regulation energy storage system, where the energy storage capacity of the first frequency regulation energy storage system is less than that of the second frequency regulation energy storage system, and the response delay time of the first frequency regulation energy storage system is less than that of the second frequency regulation energy storage system.

[0016] In a possible implementation, after obtaining the first curve of the power generation power of the grid based on the historical operation data of the grid, it further includes:

[0017] Based on the historical operation data of the grid, obtain the second curve of the grid frequency at different times.

[0018] According to the first curve of the grid power generation power and the second curve of the grid frequency, adjust the power of the energy storage system to supply energy or store energy for the grid, where the adjusted grid frequency is within the preset frequency range.

[0019] Obtain the power of the energy storage system supplying energy or storing energy for the grid in real time to obtain the third curve of the power of the energy storage system at different times.

[0020] According to the third curve of the energy storage system and the second curve of the grid frequency, obtain the response time of the grid energy storage frequency regulation.

[0021] In a possible implementation, adjusting the power of the energy storage system to supply energy or store energy for the grid according to the first curve of the grid power generation power and the second curve of the grid frequency includes.

[0022] Predict the required power generation of the power grid at the next moment according to the first curve of the power generation power of the power grid and the second curve of the power grid frequency, where the required power generation satisfies the realization of the power grid frequency within a preset frequency range.

[0023] At the next moment, adjust the power of the energy storage system to supply energy to or store energy in the power grid according to the difference between the required power generation of the power grid and the actual power generation.

[0024] In a possible implementation manner, the predicting the required power generation of the power grid at the next moment according to the first curve of the power generation power of the power grid and the second curve of the power grid frequency includes:

[0025] Divide the first curve into multiple segments according to the second time period, and extract the curve characteristics of each segment of the first curve.

[0026] Divide the second curve into multiple segments according to the second time period, and extract the curve characteristics of each segment of the second curve, where each segment of the first curve corresponds to each segment of the second curve one by one.

[0027] Calculate the first similarity between the curve characteristics of the current power grid frequency changing with time and the curve characteristics of each segment of the second curve, and obtain multiple segments of the second curve with the first similarity higher than the preset value.

[0028] Calculate the second similarity between the curve characteristics of the current power generation power changing with time and the curve characteristics of each segment of the first curve, and obtain the segment of the first curve with the largest second similarity, where each segment of the first curve is the first curve corresponding to the multiple segments of the second curve with the first similarity higher than the preset value.

[0029] Predict the required power generation of the power grid at the next moment based on the segment of the first curve with the largest second similarity.

[0030] In a possible implementation manner, the dividing the first curve into multiple segments according to the second time period and extracting the curve characteristics of each segment of the first curve includes:

[0031] Divide the first curve into multiple segments according to the second time period.

[0032] Calculate the maximum value, minimum value, average value and maximum difference of the power generation power in the first curve, where the maximum difference is the maximum value minus the minimum value.

[0033] Equally divide the maximum difference of the power generation power into multiple measurement unit intervals.

[0034] Calculate the difference between the power generation power of each point on the first curve and the average value, and obtain a power grid power difference sequence.

[0035] Divide the difference of each point in the power grid power difference sequence by the value of the measurement unit interval respectively, and obtain a power grid power difference ratio sequence.

[0036] Round each number in the power difference ratio sequence of the power grid to one decimal place after the decimal point to obtain the integer sequence of the power difference ratio of the power grid.

[0037] Arrange the numbers in the integer sequence of the power difference ratio of the power grid in order to obtain the curve characteristics of each segment of the first curve.

[0038] In a possible implementation manner, the dividing the second curve into multiple segments according to the second duration and extracting the curve characteristics of each segment of the second curve includes:

[0039] Divide the second curve into multiple segments according to the second duration.

[0040] Obtain the power grid frequencies corresponding to each point in each segment of the second curve.

[0041] Calculate the absolute value of the difference between the power grid frequencies corresponding to two adjacent points within the current segment in the order direction of the generation time.

[0042] Accumulate the absolute values of the differences to obtain an accumulated value.

[0043] Calculate the ratio of the accumulated value to the second duration as the curve characteristic of the second curve of the power grid frequency for this segment.

[0044] In a second aspect, an embodiment of the present invention provides a power grid frequency modulation capability evaluation device, including:

[0045] A power generation power acquisition module, configured to obtain a first curve of the power generation power of the power grid at different times based on the historical operation data of the power grid.

[0046] A response time acquisition module, configured to obtain the total response time of the power grid frequency modulation according to the response time of the energy storage system and the response time of the energy storage frequency modulation of the power grid.

[0047] A fluctuation amplitude acquisition module, configured to use the total response time of the power grid frequency modulation as the first duration to divide the first curve of the power generation power, and obtain the fluctuation amplitude of the power generation power within each first duration.

[0048] A duration acquisition module, configured to obtain the duration for which the energy storage system satisfies the power fluctuation of the power grid according to the fluctuation amplitude of the power generation power within each first duration, the maximum output power of the energy storage system, and the maximum energy storage power.

[0049] An evaluation module, configured to use the ratio of the duration for which the energy storage system satisfies the power fluctuation of the power grid to the total duration of the first curve as the probability of the power grid frequency remaining stable to evaluate the power grid frequency modulation capability.

[0050] In a third aspect, an embodiment of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method described in the first aspect above or any possible implementation manner of the first aspect are implemented.

[0051] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the steps of the method described in the first aspect above or any possible implementation manner of the first aspect are implemented.

[0052] An embodiment of the present invention provides a method, device, electronic device, and storage medium for evaluating the frequency modulation ability of a power grid. The method includes: obtaining a first curve of the power generation power of the power grid at different times based on the historical operation data of the power grid. According to the response time of the energy storage system and the response time of the energy storage frequency modulation of the power grid, the total response time of the power grid frequency modulation is obtained. Using the total response time of the power grid frequency modulation as the first time period to divide the first curve of the power generation power, and obtaining the fluctuation amplitude of the power generation power within each first time period. According to the fluctuation amplitude of the power generation power within each first time period, the maximum output power of the energy storage system, and the maximum energy storage power, the duration for which the energy storage system satisfies the power fluctuation of the power grid is obtained. Using the ratio of the duration for which the energy storage system satisfies the power fluctuation of the power grid to the total duration of the first curve as the probability of the power grid frequency remaining stable to evaluate the frequency modulation ability of the power grid. The present invention simultaneously considers the influence of the response time of the energy storage system and the response time of the energy storage frequency modulation of the power grid on the rapid frequency response of the power grid, and quantifies the evaluation of the support ability of the power grid by analyzing the historical records to obtain the probability of the power grid frequency remaining stable. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0054] Figure 1 FIG. is an application scenario diagram of the method for evaluating the frequency modulation ability of the power grid provided by the embodiment of the present invention;

[0055] Figure 2 FIG. is a flowchart of the implementation of the method for evaluating the frequency modulation ability of a power grid provided by the embodiment of the present invention;

[0056] Figure 3 FIG. is a flowchart of the implementation of the method for obtaining the energy storage frequency modulation response time provided by the embodiment of the present invention;

[0057] Figure 4 It is a flowchart for implementing the power adjustment method of the energy storage system provided by an embodiment of the present invention;

[0058] Figure 5 It is a flowchart for implementing the power generation prediction method for grid demand provided by an embodiment of the present invention;

[0059] Figure 6 It is a flowchart for implementing the feature extraction method of the first curve provided by an embodiment of the present invention;

[0060] Figure 7 It is a flowchart for implementing the feature extraction method of the second curve provided by an embodiment of the present invention;

[0061] Figure 8 It is a schematic structural diagram of a grid frequency regulation ability evaluation device provided by an embodiment of the present invention;

[0062] Figure 9 It is a schematic diagram of an electronic device provided by an embodiment of the present invention. Detailed implementation manners

[0063] In the following description, specific details such as specific system structures and technologies are proposed for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. However, those skilled in the art should clearly understand that the present invention can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from interfering with the description of the present invention.

[0064] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will be described through specific embodiments with reference to the accompanying drawings.

[0065] Figure 1 It is an application scenario diagram of the grid frequency regulation ability evaluation method provided by an embodiment of the present invention. As Figure 1 shown, the electric energy generated by the grid power generation equipment will be completely consumed by the grid loss and the electrical equipment. If there is a mismatch between power supply and power consumption, it will cause the grid frequency to fluctuate. In order to suppress the grid frequency fluctuation, it is necessary to adjust the charging and discharging states of the power generation equipment and the energy storage system. The prior art provides frequency regulation strategies for the grid, but in the process of quickly regulating the grid frequency, it is necessary to quantitatively evaluate the response support ability of the grid in order to facilitate the transformation of the grid. The prior art lacks a method for quantitatively evaluating the response support ability of the grid frequency regulation.

[0066] Embodiments of the present invention provide a grid frequency regulation ability evaluation method, device, electronic device, and storage medium to solve the problem that the prior art lacks a method for quantitatively evaluating the response support ability of the grid frequency regulation.

[0067] Figure 2 This is the implementation flowchart of a power grid frequency regulation capacity evaluation method provided by an embodiment of the present invention, which is described in detail as follows:

[0068] An embodiment of the present invention provides a power grid frequency regulation capacity evaluation method, including:

[0069] In S11, based on the historical operation data of the power grid, a first curve of the power generation power of the power grid at different times is obtained.

[0070] During the normal operation of the power grid, historical operation data is continuously accumulated, including the historical record of the power generation power over time, that is, the first curve. Exemplarily, the power generation power of the power grid is obtained in real time to obtain the first curve of the power generation power of the power grid at different times. The first curve of the power generation power of the power grid is continuously updated during the operation of the power grid.

[0071] The electric energy generated by the power generation equipment of the power grid will be consumed by the power grid loss and the electrical equipment. If the power supply and power consumption do not match, it will cause the power grid frequency to fluctuate. In order to suppress the power grid frequency fluctuation, it is necessary to adjust the charging and discharging energy states of the power generation equipment and the energy storage system. Exemplarily, according to the historical record of the power generation power of the power grid and the historical record of the power grid frequency, the energy storage system is called to supply energy or store energy for the power grid, so that the power grid frequency approaches the set frequency, and then the first curve of the power generation power of the power grid at different times is obtained.

[0072] In S12, according to the response time of the energy storage system and the response time of the energy storage frequency regulation of the power grid, the total response time of the power grid frequency regulation is obtained.

[0073] The response time of the energy storage system is the response delay time of the energy storage system itself after receiving the power adjustment instruction. The response time of the energy storage system is related to the hardware performance of the energy storage system. Exemplarily, according to the historical record of the power generation power of the power grid, the historical record of the power grid frequency, and the power for the energy storage system to supply energy or store energy for the power grid, the response time of the energy storage system is obtained.

[0074] The response time of the energy storage frequency regulation of the power grid is the response delay time of the power grid for frequency regulation with the participation of the energy storage system. The response time of the energy storage frequency regulation of the power grid is related to the characteristics of the power grid. Exemplarily, according to the historical record of the power for the energy storage system to supply energy or store energy for the power grid and the historical record of the power grid frequency, the response time of the energy storage frequency regulation of the power grid is obtained.

[0075] Exemplarily, according to the historical record of the power generation power of the power grid, the response time of the energy storage system, the response time of the energy storage frequency regulation of the power grid, as well as the maximum output power and maximum energy storage power of the energy storage system, the probability of the power grid frequency being maintained is obtained.

[0076] In S13, the total grid frequency regulation response time is used as the first time period to divide the first curve of the power generation power, and the fluctuation amplitude of the power generation power within each first time period is obtained.

[0077] Exemplarily, according to the total grid frequency regulation response time and the historical records of the grid's power generation power, the proportion of different fluctuation amplitudes of the grid's power generation power within the total grid frequency regulation response time is obtained.

[0078] In S14, according to the fluctuation amplitude of the power generation power within each first time period, the maximum output power of the energy storage system, and the maximum energy storage power, the time duration for which the energy storage system can meet the grid power fluctuation is obtained.

[0079] Exemplarily, before S14, it also includes obtaining the maximum output power and the maximum energy storage power of the energy storage system.

[0080] In S15, the ratio of the time duration for which the energy storage system can meet the grid power fluctuation to the total time duration of the first curve is used as the probability of the grid frequency remaining stable to evaluate the grid frequency regulation ability.

[0081] Exemplarily, according to the proportion of different fluctuation amplitudes of the grid's power generation power within the total grid frequency regulation response time, the maximum output power of the energy storage system, and the maximum energy storage power, the proportion of the historical time for which the energy storage system can meet the grid power fluctuation to the total historical time is obtained. Based on the proportion of the historical time for which the energy storage system can meet the grid power fluctuation to the total historical time, the probability of the grid frequency remaining stable is obtained.

[0082] Exemplarily, after S15, it also includes: obtaining the support ability evaluation result of the grid according to the probability of the grid frequency remaining stable and the set support ability evaluation level.

[0083] In the embodiments of the present invention, by simultaneously considering the response time of the energy storage system and the impact of the energy storage frequency regulation response time of the grid on the fast frequency response of the grid, and by analyzing the historical records to obtain the probability of the grid frequency remaining stable, the quantitative evaluation of the support ability of the grid is realized.

[0084] Since the energy storage system in the grid has a hysteresis time for regulating the grid, and the frequency regulation of the power generation equipment also has a hysteresis. To fully evaluate the impact of such a hysteresis on the frequency regulation response, the present invention provides a method for evaluating the grid frequency regulation ability, which is used to quantitatively evaluate the fast frequency response support ability of the grid in combination with the characteristics of the grid.

[0085] In the process of implementing the embodiments of the present invention, the response time of the energy storage frequency modulation of the power grid of the energy storage system and the power supply equipment and the response time of the energy storage system are collected and analyzed. Then, according to the maximum output power and the maximum energy storage power of the energy storage system, the probability that the power grid can maintain the power grid frequency stability with the assistance of the energy storage system is analyzed. Finally, an accurately quantified evaluation result of the power grid support ability is obtained according to the probability of maintaining the power grid stability.

[0086] In a possible implementation manner, before obtaining the total response time of the power grid frequency modulation according to the response time of the energy storage system and the response time of the energy storage frequency modulation of the power grid, it further includes:

[0087] Based on the historical operation data of the power grid, a second curve of the power grid frequency at different times is obtained.

[0088] The first curve of the power generation power and the second curve of the power grid frequency in the same time period are subjected to similarity matching to obtain the corresponding relationship between the characteristic points of the first curve and the second curve.

[0089] The time difference between the characteristic points of the first curve and the corresponding characteristic points of the second curve is calculated as the response time of the energy storage frequency modulation of the power grid.

[0090] Exemplarily, in order to obtain the response time of the energy storage frequency modulation of the power grid, the curve characteristics of the first curve of the power grid power are subjected to similarity matching with the curve characteristics of the second curve of the power grid frequency to obtain the pairing combinations of each segment of the first curve of the power grid power and each segment of the second curve of the power grid frequency. The characteristic points of the first curve of the power grid power and the second curve of the power grid frequency in each pairing combination are respectively obtained, and the characteristic points include peaks. The time difference between the moment corresponding to the characteristic point of the first curve of the power grid power and the moment corresponding to the characteristic point of the second curve of the power grid frequency is used as the response time of the energy storage frequency modulation of the power grid.

[0091] Exemplarily, in order to match the curve shape of the power grid power with respect to time, the curve characteristics of the first curve of the power grid power include a sequence composed of the tangent slope values of each point in the first curve. Exemplarily, in order to match the change amplitude of the power grid frequency with respect to time, the curve characteristics of the second curve of the power grid frequency include a sequence composed of the tangent slope values of each point in the second curve.

[0092] In a possible implementation manner, the energy storage system includes a first frequency modulation energy storage system and a second frequency modulation energy storage system. Among them, the energy storage capacity of the first frequency modulation energy storage system is less than that of the second frequency modulation energy storage system, and the response delay time of the first frequency modulation energy storage system is less than that of the second frequency modulation energy storage system.

[0093] In practical applications, the energy storage system may include two subsystems with different properties, which may be the first frequency modulation energy storage system and the second frequency modulation energy storage system. Considering costs, usually the energy storage capacity of the first frequency modulation energy storage system is less than that of the second frequency modulation energy storage system, and the response delay time of the first frequency modulation energy storage system is less than that of the second frequency modulation energy storage system.

[0094] Exemplarily, the first frequency modulation energy storage system may include a flywheel energy storage device. The flywheel energy storage device is usually directly associated with the transmission shaft of the power generation device. Exemplarily, the second frequency modulation energy storage system may include an electrochemical energy storage device. The electrochemical energy storage device usually uses a vanadium redox flow battery pack to achieve large-capacity charging and discharging of the power grid.

[0095] Figure 3 It is the implementation flowchart of the method for obtaining the energy storage frequency modulation response time provided by the embodiments of the present invention. Refer to Figure 3 :

[0096] In a possible implementation manner, after obtaining the first curve of the power generation power of the power grid at different times based on the historical operation data of the power grid, it further includes:

[0097] In S21, based on the historical operation data of the power grid, obtain the second curve of the power grid frequency of the power grid at different times.

[0098] In S22, according to the first curve of the power generation power of the power grid and the second curve of the power grid frequency, adjust the power of the energy storage system to supply energy or store energy to the power grid, wherein the adjusted power grid frequency is within a preset frequency range.

[0099] In S23, obtain in real time the power of the energy storage system supplying energy or storing energy to the power grid, and obtain the third curve of the power of the energy storage system at different times.

[0100] In S24, according to the third curve of the energy storage system and the second curve of the power grid frequency, obtain the response time of the energy storage frequency modulation of the power grid.

[0101] Exemplarily, perform similarity matching on the third curve of the energy storage system power and the second curve of the power grid frequency within the same time period to obtain the corresponding relationship between the characteristic points of the third curve and the second curve. Calculate the time difference between the characteristic points of the third curve and the corresponding characteristic points of the second curve as the response time of the energy storage frequency modulation of the power grid.

[0102] Exemplarily, step S22 can be repeatedly executed. According to the first curve of the power generation power of the power grid and the second curve of the power grid frequency, adjust the power of the energy storage system to supply energy or store energy to the power grid, and at the same time obtain the updated power generation power and power grid frequency in real time. After accumulating a certain amount of data, then execute steps S23 and S24. The embodiments of the present invention realize the quantitative evaluation of the response support ability of the power grid by tracking and monitoring the power grid after frequency modulation.

[0103] The electric energy generated by power generation equipment in the power grid will be completely consumed by power grid losses and electrical equipment. If there is a mismatch between power supply and power consumption, it will cause fluctuations in the power grid frequency. To suppress the power grid frequency fluctuations, it is necessary to adjust the charging and discharging states of the power generation equipment and the energy storage system.

[0104] Figure 4 It is a flowchart of the implementation of the energy storage system power adjustment method provided by the embodiments of the present invention. Refer to Figure 4 :

[0105] In a possible implementation manner, adjusting the power of the energy storage system to supply energy to or store energy in the power grid according to the first curve of the power generation power of the power grid and the second curve of the power grid frequency includes.

[0106] In S231, according to the first curve of the power generation power of the power grid and the second curve of the power grid frequency, predict the required power generation power of the power grid at the next moment, where the required power generation power satisfies the realization of the power grid frequency within a preset frequency range.

[0107] Exemplarily, obtain the historical record of the power generation power of the power grid according to the continuously acquired power generation power of the power grid. Obtain the mapping function curve of the power generation power of the power grid with respect to time according to the historical record of the power generation power of the power grid, that is, the first curve of the power generation power.

[0108] Exemplarily, obtain the historical record of the power grid frequency according to the continuously acquired power grid frequency. Obtain the mapping function curve of the power grid frequency with respect to time according to the historical record of the power grid frequency, that is, the second curve of the power grid frequency.

[0109] In S232, at the next moment, adjust the power of the energy storage system to supply energy to or store energy in the power grid according to the difference between the required power generation power of the power grid and the actual power generation power.

[0110] Exemplarily, obtain the power for calling the energy storage system to supply energy to or store energy in the power grid according to the real-time power generation power of the power grid, the real-time frequency of the power grid, the curve characteristics of the first curve of the power generation power, and the curve characteristics of the second curve of the power grid frequency.

[0111] Figure 5 It is a flowchart of the implementation of the power grid required power generation power prediction method provided by the embodiments of the present invention. Refer to Figure 5 , in order to obtain the power for calling the energy storage system to supply energy to or store energy in the power grid:

[0112] In a possible implementation manner, predicting the required power generation power of the power grid at the next moment according to the first curve of the power generation power of the power grid and the second curve of the power grid frequency includes:

[0113] In S2311, the first curve is divided into multiple segments according to the second time duration, and the curve features of each segment of the first curve are extracted.

[0114] Exemplarily, the first curve of the power generation power of the power grid is divided into a plurality of image units. For example, the first curve is divided into multiple segments according to the second time duration. Exemplarily, the curve features of each power grid power with respect to the time image unit are obtained, that is, the curve features of each segment of the first curve are extracted.

[0115] In S2312, the second curve is divided into multiple segments according to the second time duration, and the curve features of each segment of the second curve are extracted, where each segment of the first curve corresponds one-to-one with each segment of the second curve.

[0116] Exemplarily, the mapping function curve of the power grid frequency with respect to time is divided into a plurality of image units. For example, the second curve is divided into multiple segments according to the second time duration. The curve features of each power grid frequency with respect to the time image unit are obtained, that is, the curve features of each segment of the second curve are extracted.

[0117] In S2313, the first similarity between the curve features of the current power grid frequency changing with time and the curve features of each segment of the second curve is calculated, and multiple segments of the second curve with the first similarity higher than the preset value are obtained.

[0118] Exemplarily, according to the curve features of the current power grid frequency changing with time and the curve features of all the second curves of the power grid frequency, the second curve segments of the power grid frequency similar to the current power grid frequency curve are retrieved from all the second curves of the power grid power, that is, multiple segments of the second curve with the first similarity higher than the preset value are obtained.

[0119] Exemplarily, before S2313, it further includes: obtaining the power grid frequency with respect to the time image unit corresponding to the time period where the current moment is located, that is, the curve of the current power grid frequency changing with time.

[0120] In S2314, the second similarity between the curve features of the current power generation power changing with time and the curve features of each segment of the first curve is calculated, and one segment of the first curve with the maximum second similarity is obtained, where each segment of the first curve is the first curve corresponding to multiple segments of the second curve with the first similarity higher than the preset value.

[0121] Among the multiple segments of the first curve corresponding to the multiple segments of the second curve with the first similarity higher than the preset value, one segment of the first curve with the maximum similarity to the current power generation power curve is obtained, that is, one segment of the first curve with the maximum second similarity is obtained.

[0122] Exemplarily, before S2314, it further includes: obtaining the power grid power generation with respect to the time image unit corresponding to the time period where the current moment is located, that is, the curve of the current power generation power changing with time.

[0123] In S2315, based on the first curve with the second largest similarity, predict the required power generation of the power grid at the next moment.

[0124] Exemplarily, estimate the next moment's power generation of the power grid when the power grid frequency is close to the set frequency according to the relationship between the power generation and time in the first curve of the target grid power. Obtain the power for the energy storage system to supply energy to or store energy in the power grid according to the difference between the next moment's power generation of the power grid and the real-time power generation of the power grid.

[0125] Figure 6 It is the implementation flowchart of the feature extraction method for the first curve provided by the embodiments of the present invention. Refer to Figure 6 , in order to obtain the curve features of each grid power with respect to the time image unit:

[0126] In a possible implementation manner, divide the first curve into multiple segments according to the second time duration, and extract the curve features of each segment of the first curve, including:

[0127] In S23111, divide the first curve into multiple segments according to the second time duration.

[0128] In S23112, calculate the maximum value, minimum value, average value, and maximum difference of the power generation in the first curve, where the maximum difference is the maximum value minus the minimum value. That is, obtain the maximum value, minimum value, and average value in the historical record of the power generation of the power grid, and calculate the maximum value minus the minimum value as the maximum difference.

[0129] In S23113, equally divide the maximum difference of the power generation into multiple measurement unit intervals. That is, evenly divide the historical maximum difference of the power generation into multiple measurement unit intervals.

[0130] In S23114, calculate the difference between the power generation at each point on the first curve and the average value, and obtain the power grid power difference sequence.

[0131] Exemplarily, calculate the difference between each point in the first curve of the power grid power generation and the average value in the historical record of the power generation of the power grid in the order of the generation time to obtain the power grid power difference sequence.

[0132] In S23115, divide the differences of each point in the power grid power difference sequence by the value of the measurement unit interval to obtain the power grid power difference ratio sequence.

[0133] In S23116, round each number in the power grid power difference ratio sequence to one decimal place after the decimal point to obtain the power grid power difference ratio integer sequence.

[0134] In S23117, arrange the numbers in the power grid power difference ratio integer sequence in order to obtain the curve features of each segment of the first curve.

[0135] Figure 7 It is a flowchart of implementing the feature extraction method of the second curve provided by an embodiment of the present invention. Refer to Figure 7 :

[0136] In a possible implementation manner, dividing the second curve into multiple segments according to the second time duration, and extracting the curve features of each segment of the second curve includes:

[0137] In S23121, divide the second curve into multiple segments according to the second time duration.

[0138] In S23122, obtain the grid frequency corresponding to each point in each segment of the second curve. That is, obtain the corresponding grid frequency point by point in each segment of the second curve of the grid frequency.

[0139] In S23123, calculate the absolute value of the difference between the grid frequencies corresponding to two adjacent points in the current segment in the order direction of the generation time.

[0140] In S23124, accumulate the absolute values of the differences to obtain an accumulated value.

[0141] In S23125, calculate the ratio of the accumulated value to the second time duration as the curve feature of the second curve of the grid frequency of this segment. That is, use the ratio of the accumulated value to the time length of the time period corresponding to the second curve of the grid frequency of this segment as the curve feature of the second curve of the grid frequency of this segment.

[0142] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0143] The following is an apparatus embodiment of the present invention. For the details not described in detail therein, reference may be made to the corresponding method embodiments above.

[0144] Figure 8 It is a schematic structural diagram of a grid frequency modulation ability evaluation apparatus provided by an embodiment of the present invention. For the sake of convenience of description, only the parts related to the embodiments of the present invention are shown. Refer to Figure 8 Details are as follows:

[0145] An embodiment of the present invention provides a grid frequency modulation ability evaluation apparatus 3, including:

[0146] A generated power obtaining module 31, configured to obtain a first curve of the generated power of the grid at different times based on the historical operation data of the grid.

[0147] A response time acquisition module 32, configured to obtain the total grid frequency regulation response time according to the response time of the energy storage system and the response time of the energy storage frequency regulation of the power grid.

[0148] A fluctuation amplitude acquisition module 33, configured to use the total grid frequency regulation response time as a first time period to divide a first curve of the generated power, and obtain the fluctuation amplitude of the generated power within each first time period.

[0149] A time period acquisition module 34, configured to obtain the time period for which the energy storage system satisfies the power fluctuation of the power grid according to the fluctuation amplitude of the generated power within each first time period, the maximum output power of the energy storage system, and the maximum energy storage power.

[0150] An evaluation module 35, configured to use the ratio of the time period for which the energy storage system satisfies the power fluctuation of the power grid to the total time period of the first curve as the probability of the grid frequency remaining stable to evaluate the grid frequency regulation ability.

[0151] The embodiment of the present invention quantifies and evaluates the support ability of the power grid by simultaneously considering the influence of the response time of the energy storage system and the response time of the energy storage frequency regulation of the power grid on the fast frequency response of the power grid, and obtaining the probability of the grid frequency remaining stable by analyzing historical records.

[0152] In a possible implementation manner, before obtaining the total grid frequency regulation response time according to the response time of the energy storage system and the response time of the energy storage frequency regulation of the power grid, it further includes:

[0153] Based on the historical operation data of the power grid, obtain a second curve of the grid frequency at different times of the power grid.

[0154] Perform similarity matching on the first curve of the generated power and the second curve of the grid frequency within the same time period, and obtain the corresponding relationship between the characteristic points of the first curve and the second curve.

[0155] Calculate the time difference between the characteristic points of the first curve and the corresponding characteristic points of the second curve as the response time of the energy storage frequency regulation of the power grid.

[0156] In a possible implementation manner, the energy storage system includes a first frequency regulation energy storage system and a second frequency regulation energy storage system, wherein the energy storage capacity of the first frequency regulation energy storage system is less than that of the second frequency regulation energy storage system, and the response delay time of the first frequency regulation energy storage system is less than that of the second frequency regulation energy storage system.

[0157] In a possible implementation manner, after obtaining the first curve of the generated power of the power grid at different times based on the historical operation data of the power grid, it further includes:

[0158] Based on the historical operation data of the power grid, obtain a second curve of the grid frequency at different times of the power grid.

[0159] Adjust the power of the energy storage system to supply energy to or store energy in the power grid according to the first curve of the power generation power of the power grid and the second curve of the power grid frequency, wherein the adjusted power grid frequency is within a preset frequency range.

[0160] Obtain in real time the power of the energy storage system to supply energy to or store energy in the power grid, and obtain the third curve of the power of the energy storage system at different times.

[0161] Obtain the response time of the energy storage frequency modulation of the power grid according to the third curve of the energy storage system and the second curve of the power grid frequency.

[0162] In a possible implementation manner, adjusting the power of the energy storage system to supply energy to or store energy in the power grid according to the first curve of the power generation power of the power grid and the second curve of the power grid frequency includes.

[0163] Predict the required power generation power of the power grid at the next moment according to the first curve of the power generation power of the power grid and the second curve of the power grid frequency, wherein the required power generation power satisfies the realization that the power grid frequency is within the preset frequency range.

[0164] At the next moment, adjust the power of the energy storage system to supply energy to or store energy in the power grid according to the difference between the required power generation power of the power grid and the actual power generation power.

[0165] In a possible implementation manner, predicting the required power generation power of the power grid at the next moment according to the first curve of the power generation power of the power grid and the second curve of the power grid frequency includes:

[0166] Divide the first curve into multiple segments according to the second time duration, and extract the curve features of each segment of the first curve.

[0167] Divide the second curve into multiple segments according to the second time duration, and extract the curve features of each segment of the second curve, wherein each segment of the first curve corresponds to each segment of the second curve one by one.

[0168] Calculate the first similarity between the curve feature of the current power grid frequency changing with time and the curve features of each segment of the second curve, and obtain multiple segments of the second curve with the first similarity higher than the preset value.

[0169] Calculate the second similarity between the curve feature of the current power generation power changing with time and the curve features of each segment of the first curve, and obtain the segment of the first curve with the largest second similarity, wherein each segment of the first curve is the first curve corresponding to the multiple segments of the second curve with the first similarity higher than the preset value.

[0170] Predict the required power generation power of the power grid at the next moment based on the segment of the first curve with the largest second similarity.

[0171] In a possible implementation manner, dividing the first curve into multiple segments according to the second time duration and extracting the curve features of each segment of the first curve includes:

[0172] Divide the first curve into multiple segments according to the second time period.

[0173] Calculate the maximum value, minimum value, average value and maximum difference of the power generation power in the first curve, where the maximum difference is the maximum value minus the minimum value.

[0174] Equally divide the maximum difference of the power generation power into multiple measurement unit intervals.

[0175] Calculate the difference between the power generation power of each point on the first curve and the average value to obtain a power grid power difference sequence.

[0176] Divide the difference of each point in the power grid power difference sequence by the value of the measurement unit interval to obtain a power grid power difference ratio sequence.

[0177] Round each number in the power grid power difference ratio sequence to one decimal place after the decimal point to obtain a power grid power difference ratio integer sequence.

[0178] Arrange the numbers in the power grid power difference ratio integer sequence in order to obtain the curve characteristics of each segment of the first curve.

[0179] In a possible implementation manner, dividing the second curve into multiple segments according to the second time period and extracting the curve characteristics of each segment of the second curve includes:

[0180] Divide the second curve into multiple segments according to the second time period.

[0181] Obtain the power grid frequency corresponding to each point in each segment of the second curve.

[0182] Calculate the absolute value of the difference between the power grid frequencies corresponding to two adjacent points in the current segment in the order direction of the generation time.

[0183] Accumulate the absolute values of the differences to obtain an accumulated value.

[0184] Calculate the ratio of the accumulated value to the second time period as the curve characteristic of the power grid frequency second curve of this segment.

[0185] Figure 9 Schematic diagram of the electronic device provided by the embodiment of the present invention. As Figure 9 shown, the electronic device 4 of this embodiment includes: a processor 40, a memory 41, and a computer program 42 stored in the memory 41 and operable on the processor 40. When the processor 40 executes the computer program 42, it implements the steps in the above-mentioned embodiments of various power grid frequency modulation ability evaluation methods, such as Figure 2 the steps S11 to S15 shown. Alternatively, when the processor 40 executes the computer program 42, it implements the functions of each module / unit in the above-mentioned device embodiments, such asFigure 8 The functions of the illustrated modules 31 to 35.

[0186] Exemplarily, the computer program 42 may be divided into one or more modules / units, which are stored in the memory 41 and executed by the processor 40 to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the computer program 42 in the electronic device 4. For example, the computer program 42 may be divided into Figure 8 the illustrated modules 31 to 35.

[0187] The electronic device 4 may be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The electronic device 4 may include, but is not limited to, a processor 40 and a memory 41. Those skilled in the art can understand that Figure 9 merely examples of the electronic device 4 do not constitute a limitation on the electronic device 4, and it may include more or fewer components than shown in the figure, or combine certain components, or different components. For example, the electronic device may further include input / output devices, network access devices, a bus, etc.

[0188] The so-called processor 40 may be a central processing unit (CPU), or may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0189] The memory 41 may be an internal storage unit of the electronic device 4, such as a hard disk or memory of the electronic device 4. The memory 41 may also be an external storage device of the electronic device 4, such as a plug-in hard disk equipped on the electronic device 4, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. Further, the memory 41 may also include both the internal storage unit of the electronic device 4 and an external storage device. The memory 41 is used to store the computer program and other programs and data required by the electronic device. The memory 41 may also be used to temporarily store data that has been output or is to be output.

[0190] Those skilled in the art can clearly understand that, for the convenience and conciseness of description, only the above division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of the present application. The specific working processes of the units and modules in the above system can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0191] In the above embodiments, the descriptions of the respective embodiments have their own emphases. For parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0192] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or by a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled professionals can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the present invention.

[0193] In the embodiments provided by the present invention, it should be understood that the disclosed device / electronic device and method can be implemented in other ways. For example, the device / electronic device embodiments described above are merely illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of the devices or units can be in electrical, mechanical or other forms.

[0194] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0195] In addition, in each embodiment of the present invention, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0196] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, to implement all or part of the processes in the above embodiment methods of the present invention, it can also be completed by a computer program instructing the relevant hardware. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above embodiments of various power grid frequency modulation ability evaluation methods can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0197] The above-described embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for evaluating the frequency regulation ability of a power grid, characterized in that Including: Based on the historical operation data of the power grid, obtain the first curve of the power generation power of the power grid at different times; Based on the historical operation data of the power grid, obtain the second curve of the power grid frequency of the power grid at different times; Perform similarity matching on the first curve of the power generation power and the second curve of the power grid frequency within the same time period to obtain the corresponding relationship between the characteristic points of the first curve and the second curve; calculate the time difference between the characteristic points of the first curve and the corresponding characteristic points of the second curve as the response time of the energy storage frequency modulation of the power grid; Alternatively, according to the first curve of the power generation power of the power grid and the second curve of the power grid frequency, adjust the power of the energy storage system to supply energy or store energy to the power grid, where the adjusted power grid frequency is within a preset frequency range; obtain the third curve of the power of the energy storage system at different times by real-time acquiring the power of the energy storage system to supply energy or store energy to the power grid; obtain the response time of the energy storage frequency modulation of the power grid according to the third curve of the energy storage system and the second curve of the power grid frequency; Obtain the total response time of the power grid frequency modulation according to the response time of the energy storage system and the response time of the energy storage frequency modulation of the power grid; divide the first curve of the power generation power by the total response time of the power grid frequency modulation as the first time period to obtain the fluctuation amplitude of the power generation power within each first time period; Obtain the duration for which the energy storage system satisfies the power fluctuation of the power grid according to the fluctuation amplitude of the power generation power within each first time period, the maximum output power of the energy storage system, and the maximum energy storage power; Use the ratio of the duration for which the energy storage system satisfies the power fluctuation of the power grid to the total duration of the first curve as the probability of the power grid frequency remaining stable to evaluate the power grid frequency modulation ability.

2. The power grid frequency regulation capacity evaluation method according to claim 1, characterized in that The adjusting the power of the energy storage system to supply energy or store energy to the power grid according to the first curve of the power generation power of the power grid and the second curve of the power grid frequency includes; Predict the required power generation power of the power grid at the next moment according to the first curve of the power generation power of the power grid and the second curve of the power grid frequency, where the required power generation power satisfies the realization of the power grid frequency within a preset frequency range; At the next moment, adjust the power of the energy storage system to supply energy or store energy to the power grid according to the difference between the required power generation power of the power grid and the actual power generation power.

3. The power grid frequency regulation capacity evaluation method according to claim 2, wherein The predicting the required power generation power of the power grid at the next moment according to the first curve of the power generation power of the power grid and the second curve of the power grid frequency includes: Divide the first curve into multiple segments according to the second time period and extract the curve characteristics of each segment of the first curve; Divide the second curve into multiple segments according to the second time period and extract the curve characteristics of each segment of the second curve, where each segment of the first curve corresponds to each segment of the second curve; Calculate the first similarity between the curve characteristics of the current power grid frequency changing with time and the curve characteristics of each segment of the second curve, and obtain multiple segments of the second curve with the first similarity higher than the preset value; Calculate the second similarity between the curve characteristics of the current power generation power changing with time and the curve characteristics of each segment of the first curve, and obtain the segment of the first curve with the maximum second similarity, where each segment of the first curve is the first curve corresponding to the multiple segments of the second curve with the first similarity higher than the preset value; Predict the power generation demand of the power grid at the next moment based on the first curve with the largest second similarity.

4. The power grid frequency regulation capacity evaluation method according to claim 3, wherein The steps of dividing the first curve into multiple segments according to the second time period and extracting the curve features of each segment of the first curve include: Divide the first curve into multiple segments according to the second time period; Calculate the maximum value, minimum value, average value and maximum difference of the power generation in the first curve, where the maximum difference is the maximum value minus the minimum value; Equally divide the maximum difference of the power generation into multiple measurement unit intervals; Calculate the difference between the power generation at each point on the first curve and the average value to obtain a power grid power difference sequence; Divide the difference at each point in the power grid power difference sequence by the value of the measurement unit interval to obtain a power grid power difference ratio sequence; Round each number in the power grid power difference ratio sequence to one decimal place after the decimal point to obtain a power grid power difference ratio integer sequence; Arrange the numbers in the power grid power difference ratio integer sequence in order to obtain the curve features of each segment of the first curve.

5. The grid frequency regulation capacity evaluation method according to claim 4, wherein The steps of dividing the second curve into multiple segments according to the second time period and extracting the curve features of each segment of the second curve include: Divide the second curve into multiple segments according to the second time period; Obtain the power grid frequency corresponding to each point in each segment of the second curve; Calculate the absolute value of the difference between the power grid frequencies corresponding to two adjacent points in the current segment in the order of the generation time; Accumulate the absolute values of the differences to obtain an accumulated value; Calculate the ratio of the accumulated value to the second time period as the curve feature of the second curve of the power grid frequency in this segment.

6. A device for evaluating the frequency regulation ability of a power grid, characterized in that, Include: A power generation acquisition module for obtaining a first curve of the power generation of the power grid at different times based on the historical operation data of the power grid; A storage frequency modulation response time acquisition module for obtaining a second curve of the power grid frequency of the power grid at different times based on the historical operation data of the power grid; performing similarity matching on the first curve of the power generation and the second curve of the power grid frequency within the same time period to obtain the corresponding relationship of each feature point between the first curve and the second curve; calculating the time difference between each feature point of the first curve and the corresponding feature point of the second curve as the response time of the energy storage frequency modulation of the power grid; Alternatively, according to the first curve of the power generation of the power grid and the second curve of the power grid frequency, adjust the power of the energy storage system to supply energy or store energy for the power grid, where the adjusted power grid frequency is within a preset frequency range; real-time obtain the power of the energy storage system supplying energy or storing energy for the power grid to obtain a third curve of the power of the energy storage system at different times; obtain the response time of the energy storage frequency modulation of the power grid according to the third curve of the energy storage system and the second curve of the power grid frequency; A response time acquisition module for obtaining the total response time of the power grid frequency modulation according to the response time of the energy storage system and the response time of the energy storage frequency modulation of the power grid; A fluctuation amplitude acquisition module for dividing the first curve of the power generation by the total response time of the power grid frequency modulation as the first time period to obtain the fluctuation amplitude of the power generation within each first time period; A duration obtaining module, configured to obtain the duration for which the energy storage system can meet the power fluctuations of the power grid according to the fluctuation amplitude of the power generation power within each first duration, the maximum output power of the energy storage system, and the maximum energy storage power; An evaluation module, configured to use the ratio of the duration for which the energy storage system can meet the power fluctuations of the power grid to the total duration of the first curve as the probability of maintaining the stability of the power grid frequency to evaluate the frequency modulation ability of the power grid.

7. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, the steps of the power grid frequency modulation ability evaluation method according to any one of claims 1 to 5 above are implemented.

8. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, the steps of the power grid frequency modulation ability evaluation method according to any one of claims 1 to 5 above are implemented.

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