Energy storage equipment capacity calculation method and device for assisting pumped storage frequency modulation

Abstract

The invention discloses an energy storage equipment capacity calculation method and device for assisting pumped storage frequency modulation, relates to the technical field of electric power frequency modulation, and mainly aims to enable the calculated capacity to adapt to a rapidly changing frequency modulation demand. According to the main technical scheme, the method comprises the steps that multiple actual power values of the pumped storage unit under multiple experimental working conditions are obtained; according to a target exponential function corresponding to a preset large-frequency-difference step frequency modulation index requirement, fitting an initial index requirement minimum load set value curve; according to a preset evaluation formula, evaluating whether the initial index requirement minimum load set value curve reaches a preset precision requirement; if not, adjusting the initial index requirement minimum load set value curve according to an intelligent optimization strategy to obtain a target index requirement minimum load set value curve; and comparing the deviation between each actual power value and the load set value in the minimum load set value curve required by the target index according to the frequency modulation mode, and calculating the capacity required by the energy storage equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of power frequency regulation, and in particular to a method and device for calculating the capacity of energy storage equipment assisting pumped storage frequency regulation. Background Art

[0002] Pumped-storage units utilize surplus electricity during periods of low power load to pump water from the lower reservoir to the upper reservoir, storing it as potential energy. This water is then released to generate electricity during peak periods, thereby shifting and redistributing electricity over time. This effectively alleviates the imbalance between grid supply and demand and maintains system frequency stability. However, with the continuous development of modern power systems and the increasing complexity of operating conditions, the grid frequency may experience significant step-like changes in a short period of time, a phenomenon known as "large frequency step differences." In these situations, pumped-storage units must participate in frequency regulation to control frequency fluctuations within a safe range and ensure safe and stable system operation.

[0003] However, pumped-storage units have limitations in their response speed under large frequency step conditions. From receiving the frequency modulation command to a change in actual power output, a series of mechanical actions are required, including the opening and closing of the guide vanes and the adjustment of the rotor speed. These physical processes have inertial delays, which limit their ability to respond quickly. Therefore, relying solely on pumped-storage units cannot meet the fast and precise frequency modulation requirements of such extreme conditions.

[0004] To this end, it is necessary to introduce energy storage equipment to operate in conjunction with pumped storage units to make up for their shortcomings in response speed and regulation accuracy. In order to give full play to the role of energy storage equipment, it is necessary to calculate the capacity of the energy storage equipment, that is, the rated power and rated capacity, so that it can effectively compensate for the deviation between the output of the pumped storage unit and the requirements of the regulations, thereby improving the overall frequency regulation performance. At present, the commonly used capacity calculation methods are mostly estimated based on the average of the historical operating data of the pumped storage unit. However, this method lacks targeted analysis of specific operating scenarios, resulting in the configured energy storage equipment to respond to large frequency difference step conditions. Insufficient instantaneous power support may occur, which can easily lead to overload or underload phenomena. Summary of the Invention

[0005] In view of the above problems, the present invention provides a method and device for calculating the capacity of energy storage equipment to assist pumped storage frequency regulation. The main purpose is to enable the calculated capacity to adapt to rapidly changing frequency regulation requirements and effectively improve the instantaneous power support capability of the energy storage equipment during critical periods.

[0006] In order to solve the above technical problems, the present invention proposes the following solutions:

[0007] In a first aspect, the present invention provides a method for calculating the capacity of an energy storage device that assists pumped storage frequency regulation, the method comprising:

[0008] Acquiring multiple actual power values of the pumped storage unit under multiple experimental operating conditions, wherein the experimental operating conditions include different operating heads and load instructions;

[0009] Fit the minimum load setting value curve of the initial index requirement according to the target exponential function corresponding to the preset large frequency difference step frequency regulation index requirement;

[0010] Evaluate whether the minimum load setting value curve required by the initial indicator meets the preset accuracy requirement according to a preset evaluation formula;

[0011] If not, the minimum load setting value curve required by the initial indicator is adjusted according to the intelligent optimization strategy to obtain the minimum load setting value curve required by the target indicator;

[0012] According to the frequency regulation mode, the deviation between each actual power value and the load setting value in the minimum load setting value curve required by the target indicator is compared, and the required capacity of the energy storage device is calculated so that the energy storage device can assist the pumped storage unit in power frequency regulation according to the capacity.

[0013] In a second aspect, the present invention provides a device for calculating the capacity of an energy storage device for assisting pumped storage frequency regulation, the device comprising:

[0014] a data acquisition unit, configured to acquire a plurality of actual power values of the pumped storage unit under a plurality of experimental operating conditions, wherein the experimental operating conditions include different operating heads and load instructions;

[0015] A curve fitting unit is used to fit the minimum load setting value curve of the initial index requirement according to the target exponential function corresponding to the preset large frequency difference step frequency modulation index requirement;

[0016] An accuracy verification unit, configured to evaluate, based on a preset evaluation formula, whether the curve of the minimum load setting value of the initial indicator requirement obtained by the curve fitting unit meets a preset accuracy requirement;

[0017] a curve adjustment unit, configured to adjust the minimum load setting value curve of the initial indicator requirement according to an intelligent optimization strategy to obtain the minimum load setting value curve of the target indicator requirement if the verification result of the accuracy verification unit is not achieved;

[0018] a parameter calculation unit for comparing, according to the frequency modulation mode, deviations between the actual power values obtained by the data acquisition unit and the load setting values in the curve of the minimum load setting value required by the target indicator obtained by the curve adjustment unit, and calculating the required capacity of the energy storage device so that the energy storage device can assist the pumped storage unit in power frequency modulation according to the capacity.

[0019] In order to achieve the above-mentioned purpose, according to the third aspect of the present invention, a storage medium is provided, which includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute the energy storage device capacity calculation method for auxiliary pumped storage frequency regulation of the above-mentioned first aspect.

[0020] To achieve the above object, according to a fourth aspect of the present invention, a processor is provided, which is used to run a program, wherein when the program is run, the method for calculating the capacity of energy storage equipment for auxiliary pumped storage frequency regulation according to the first aspect is executed.

[0021] By means of the above technical solution, the present invention provides a method and device for calculating the capacity of an energy storage device that assists pumped storage frequency regulation. By adopting the actual power value of the pumped storage unit under different operating heads and load instructions, it can more realistically reflect its dynamic response characteristics under complex working conditions, effectively avoid errors caused by model assumptions or empirical estimates, and thus significantly improve the accuracy of the configuration of the required capacity (including rated power and rated capacity) of the energy storage device. On this basis, according to the preset large frequency difference step frequency regulation index requirements, the initial index requirement minimum load setting value curve is generated in combination with the corresponding target exponential function fitting, and the fitting accuracy of the curve is evaluated by the preset evaluation formula. If the evaluation result does not meet the preset accuracy requirements, an intelligent optimization strategy is further introduced to dynamically adjust the curve, and finally the target index requirement minimum load setting value curve that meets the frequency regulation performance constraints is obtained, ensuring that the capacity configuration can adapt to the rapidly changing frequency regulation needs and effectively improving the instantaneous power support capacity of the energy storage device during critical periods. Subsequently, according to the actual frequency regulation mode, the actual power value under each experimental condition is compared with the corresponding load setting value in the target curve, and the deviation between the actual power value and the load setting value is identified, thereby calculating the capacity required by the energy storage device, so that the energy storage device can assist the pumped storage unit in power frequency regulation according to the capacity. This method can effectively avoid over-configuration or under-configuration of energy storage equipment while meeting the frequency regulation performance requirements of the power grid, thereby improving the economy and operating efficiency of the energy storage system. Compared with the prior art, the present invention comprehensively considers the actual response capabilities of the pumped storage unit under various operating conditions, and combines intelligent optimization means to dynamically correct the load setting value curve, providing a more targeted and practical technical basis for the parameter configuration of the energy storage device, and helping to achieve the complementary advantages of the pumped storage unit and the energy storage device in terms of rapid response capability and energy regulation capability.

[0022] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are specifically listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present invention. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0024] Figure 1 A flow chart of a method for calculating the capacity of an energy storage device for auxiliary pumped storage frequency regulation provided by an embodiment of the present invention is shown;

[0025] Figure 2 A flow chart of another method for calculating the capacity of an energy storage device assisting pumped storage frequency regulation provided by an embodiment of the present invention is shown;

[0026] Figure 3 A block diagram showing the composition of a device for calculating the capacity of an energy storage device for assisting pumped storage frequency regulation provided by an embodiment of the present invention is shown;

[0027] Figure 4 A block diagram of another device for calculating the capacity of an energy storage device that assists pumped storage frequency regulation provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0028] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0029] To address the issues with existing capacity calculation methods for energy storage devices, the inventors, through extensive creative work, have proposed a new capacity calculation method for energy storage devices that assists pumped-storage frequency regulation. This method is implemented by a capacity calculation system. The capacity calculated by this system can be used by the energy storage device to assist the pumped-storage unit in power frequency regulation. Workers can pre-test the pumped-storage unit under different operating heads and loads and input the actual power values obtained into the capacity calculation system. The system then calculates the capacity based on this data.

[0030] The different operating heads include the minimum head allowed for startup and several common head conditions. Load commands include 60%Pe, 75%Pe, 90%Pe, and 100%Pe (Pe is the rated load of the unit).

[0031] Next, combine Figure 1The present invention proposes a method for calculating the capacity of an energy storage device for auxiliary pumped storage frequency regulation. The specific steps are as follows: Figure 1 Shown, including:

[0032] 101. Obtain multiple actual power values of the pumped storage unit under various experimental conditions.

[0033] 102. Fit the minimum load setting value curve of the initial index requirement according to the target exponential function corresponding to the preset large frequency difference step frequency modulation index requirement.

[0034] Among them, the preset large frequency difference step frequency modulation index requirements can be shown in the following table:

[0035]

[0036] It should be noted that, since pumped-storage units typically operate only in power mode during normal operation, this present invention uses the unit's operation in power mode as the analytical basis for energy storage capacity configuration. Accordingly, the aforementioned preset large-step frequency modulation requirements are also set for power mode.

[0037] After obtaining the frequency regulation index requirements, the corresponding target index function can be determined according to these indicators, and the initial index requirement minimum load setting value curve can be generated based on the function fitting.

[0038] The minimum load setpoint curve reflects the minimum power output that the pumped-storage unit must achieve at different time points to ensure grid frequency stability within the permitted range. Specifically, this curve defines the minimum power output that the pumped-storage unit must provide within a specific time period (e.g., at various points within a second or minutes during frequency regulation) to meet the grid's frequency regulation requirements. The curve's horizontal axis represents time, while the vertical axis represents the load setpoint, which, in this context, can also be understood as the frequency regulation step.

[0039] 103. Evaluate whether the minimum load setting value curve of the initial indicator requirement meets the preset accuracy requirement based on the preset evaluation formula.

[0040] 104. If it is not reached, the minimum load setting value curve of the initial indicator requirement is adjusted according to the intelligent optimization strategy to obtain the minimum load setting value curve of the target indicator requirement.

[0041] In steps 103 and 104, evaluating the curve for the minimum load setting value of the initial indicator requirement is a key step. This evaluation can be done in two ways: one is to evaluate each ordinate value (i.e., load setting value) in the curve one by one based on a preset evaluation formula to see if it meets the preset accuracy requirements; the other is to evaluate the overall fit of the curve with actual demand or the prediction accuracy to determine whether it meets the preset standards.

[0042] It should be noted that by checking whether each load setting value meets the standard one by one, it is possible to accurately identify which specific points need to be adjusted; conversely, by evaluating the fit or prediction accuracy of the entire curve, it is possible to quickly determine whether the overall performance of the curve meets the requirements. This can be selected based on actual conditions and is not specifically limited here.

[0043] If the evaluation results indicate that the initial curve fails to meet the preset accuracy requirements, an intelligent optimization strategy is activated to adjust it. This strategy aims to optimize the curve to more accurately reflect the performance indicator requirements. Specific implementation methods may include optimizing the parameters of the target exponential function used to fit the curve, finding the optimal solution, and regenerating or adjusting the curve based on this optimal solution; or directly correcting the curve based on the accuracy deviation determined by the evaluation. Through these adjustments, the curve with the minimum load setpoint value that meets the target indicator requirements is ultimately obtained.

[0044] Adjusting the curve by finding the optimal solution for the target exponential function parameters is a more systematic and theoretical approach that may require complex calculations and algorithms. Alternatively, directly correcting the curve based on accuracy deviations is a more direct and intuitive approach and may be more suitable for quick adjustments or when parameter optimization is complex.

[0045] 105. According to the frequency regulation mode, the deviation between each actual power value and the load setting value in the minimum load setting value curve required by the target indicator is compared to calculate the required capacity of the energy storage device.

[0046] In this step, each actual power value must be compared in detail with the corresponding load setting value in the minimum load setting value curve required by the target indicator. At this time, the frequency regulation mode significantly affects the specific direction and focus of the comparison. For example, when the frequency regulation mode is load reduction, the focus should be on identifying the interval where the actual power value is higher than the load setting value; conversely, when the frequency regulation mode is load increase, the focus should be on the interval where the actual power value is lower than the load setting value. Based on these identification results, the compensation amount of the energy storage device for the pumped storage unit, that is, the capacity, specifically including the rated power and rated capacity, can be further accurately determined.

[0047] When comparing actual power values with the load setpoints in the target minimum load setpoint curve, it's important to note that actual power values and load setpoints do not correspond directly on the timeline. This means that for each actual power value, it's not necessary to find the exact load setpoint corresponding to it at the same moment in time to assess whether it meets the preset conditions.

[0048] Among them, in this step, the frequency regulation mode refers to the power adjustment direction of the pumped storage unit and the energy storage equipment when participating in the power system frequency regulation.

[0049] Based on the above Figure 1 It can be seen from the implementation method that the present invention provides a method for calculating the capacity of energy storage equipment that assists pumped storage frequency regulation. By adopting the actual power value of the pumped storage unit under different operating heads and load instructions, it can more realistically reflect its dynamic response characteristics under complex working conditions, effectively avoid errors caused by model assumptions or empirical estimates, and thus significantly improve the accuracy of the configuration of the required capacity (including rated power and rated capacity) of the energy storage equipment. On this basis, according to the preset large frequency difference step frequency regulation index requirements, the initial index requirement minimum load setting value curve is generated in combination with the corresponding target exponential function fitting, and the fitting accuracy of the curve is evaluated by the preset evaluation formula. If the evaluation result does not meet the preset accuracy requirements, the intelligent optimization strategy is further introduced to dynamically adjust the curve, and finally the target index requirement minimum load setting value curve that meets the frequency regulation performance constraints is obtained, ensuring that the capacity configuration can adapt to the rapidly changing frequency regulation needs and effectively improve the instantaneous power support capacity of the energy storage equipment during critical periods. Subsequently, according to the actual frequency regulation mode, the actual power value under each experimental condition is compared with the corresponding load setting value in the target curve, and the deviation between the actual power value and the load setting value is identified, thereby calculating the capacity required for the energy storage device. This method can effectively avoid over-configuration or under-configuration of energy storage equipment while meeting the grid frequency regulation performance requirements, thereby improving the economy and operating efficiency of the energy storage system. Compared with the prior art, the present invention comprehensively considers the actual response capabilities of the pumped storage unit under various operating conditions, and combines intelligent optimization means to dynamically correct the load setting value curve, providing a more targeted and practical technical basis for the parameter configuration of the energy storage device, and helping to achieve the complementary advantages of the pumped storage unit and the energy storage device in terms of rapid response capability and energy regulation capability.

[0050] Furthermore, as a Figure 1 The embodiment shown in the figure is refined and expanded. The embodiment of the present invention also provides another method for calculating the capacity of an energy storage device that assists pumped storage frequency regulation, such as Figure 2 As shown, the specific steps are as follows:

[0051] 201. Obtain multiple actual power values of the pumped storage unit under various experimental conditions.

[0052] Among them, the implementation method of step 201 is the same as that of step 101, and can achieve the same technical effect and solve the same technical problem, so it will not be repeated here.

[0053] 202. Fitting the minimum load setting value curve of the initial index requirement according to the target exponential function corresponding to the preset large frequency difference step frequency modulation index requirement.

[0054] In this embodiment, the target index function is:

[0055]

[0056] In the above formula: Y is the load setting value in the minimum load setting value curve required by the fitting index, t is time, A is the preset large frequency difference step amount, β is the correction coefficient, and e is the base of the natural logarithm, which is approximately equal to 2.71828.

[0057] In the present invention, the large frequency difference step amount generally does not exceed 0.2 Hz (including dead zone) according to the regulations of different regions.

[0058] When using the target exponential function to fit the minimum load setting value curve for the indicator requirements, different parameter values can be substituted into the function to calculate the load setting values corresponding to these parameters. Subsequently, these load setting value points are connected on the coordinate axis to construct the initial minimum load setting value curve for the indicator requirements.

[0059] 203. According to a preset evaluation formula, determine whether a specified load setting value exists in the load setting value of the minimum load setting value curve required by the initial indicator.

[0060] 204. If so, it is determined that the initial indicator requirement minimum load setting value curve does not meet the preset accuracy requirement.

[0061] Among them, the preset evaluation formula is:

[0062]

[0063] Where y i The load setting value in the minimum load setting value curve required by the indicator; is the index value, and n is the number of specific assessment indicators of the regional power grid.

[0064] In step 203 and step 204, it is preferred to perform an accuracy evaluation on each load setting value on the curve of the minimum load setting value of the initial index requirement. The evaluation basis is the index value corresponding to the preset large frequency difference step frequency modulation index requirement. By calculating the deviation (or degree of deviation) between each load setting value and the corresponding index value through the above-mentioned preset evaluation formula, it can be determined whether the load setting value meets all frequency modulation index requirements. If there is a deviation exceeding the allowable range, the load setting value is marked as a "specified load setting value", which indicates that the setting value fails to fully meet the preset large frequency difference step frequency modulation index requirement. Specifically, these frequency modulation index requirements generally include frequency modulation dead zone requirements, response time requirements, rise time requirements and adjustment time requirements.

[0065] 205. The minimum load setting value curve of the initial indicator requirement is adjusted according to the intelligent optimization strategy to obtain the minimum load setting value curve of the target indicator requirement.

[0066] In this step, a target optimization model is constructed using the correction coefficient in the target exponential function as the optimization variable, and the model is solved using an intelligent optimization algorithm. Through iterative optimization, the correction coefficient is continuously adjusted to update the fitted minimum load setpoint curve.

[0067] Specifically, each time the intelligent optimization algorithm obtains a new set of correction coefficients, it refits the specified load setting value in the initial minimum load setting value curve based on these coefficients. Subsequently, based on a preset evaluation formula, it calculates the error between the current fitting result and the corresponding index value, and determines whether the error meets the preset error standard.

[0068] If the error does not meet the standard, the next round of optimization iteration will be continued; if the error meets the standard, the iteration will be stopped and the minimum load setting value curve of the target indicator required by the final optimization will be output.

[0069] In this process, the intelligent optimization algorithm can use particle swarm optimization algorithm (PSO) or optimization method based on neural network model to achieve efficient search and optimization of correction coefficient.

[0070] 206. According to the frequency modulation mode, the deviation between each actual power value and the load setting value in the minimum load setting value curve required by the target indicator is compared to calculate the required capacity of the energy storage device.

[0071] In this step, there are two situations, namely, the frequency modulation mode is the direction of load increase and load reduction, specifically:

[0072] The first method is to compare multiple actual power values with the load set values in the minimum load set value curve required by the target indicator to identify the target time interval in which the actual power value is higher than the load set value. Then, for each target time interval, the maximum power deviation in the difference between the actual power value and each load set value is calculated, and the difference between the actual power value and each load set value is integrated to obtain the deviation integral value. Finally, the maximum value of the maximum power deviation in all target time intervals is determined as the rated power value in the capacity. At the same time, the deviation integral values corresponding to all target time intervals are accumulated to obtain the rated capacity value in the capacity.

[0073] When the frequency regulation mode is in the load-increasing direction, multiple actual power values are compared with the load setpoints in the target indicator minimum load setpoint curve to identify target time intervals where the actual power value is lower than the load setpoint. For each target time interval, the maximum power deviation in the difference between the actual power value and each load setpoint is calculated, and the difference between the actual power value and each load setpoint is integrated to obtain the deviation integral value. Finally, the maximum value of the maximum power deviation in all target time intervals is determined as the rated power value in the capacity. The deviation integral values corresponding to all target time intervals are accumulated to obtain the rated capacity value in the capacity.

[0074] The maximum value of the maximum power deviation is determined as the rated power of the energy storage device because the energy storage system must have sufficient power capacity to cope with the largest single-point power fluctuation. Integrating the power deviation within each target time interval can quantify the total amount of energy that needs to be stored or released during the entire time interval. Accumulating the deviation integral values for all target time intervals can determine the total energy required to be stored by the energy storage system, i.e., the rated capacity. This is because the energy storage system not only needs to cope with the instantaneous maximum power demand, but also needs to have sufficient energy reserves to balance long-term energy imbalances.

[0075] Furthermore, as a response to the above Figure 1 In order to realize the method shown in the figure, the embodiment of the present invention also provides a device for calculating the capacity of an energy storage device for auxiliary pumped storage frequency regulation, which is used to calculate the capacity of the above-mentioned Figure 1 This device embodiment corresponds to the aforementioned method embodiment. For ease of reading, this device embodiment will not describe the details of the aforementioned method embodiment one by one, but it should be clear that the device in this embodiment can implement all the contents of the aforementioned method embodiment. Figure 3 As shown, the device includes:

[0076] The data acquisition unit 301 is used to obtain multiple actual power values of the pumped storage unit under multiple experimental operating conditions, wherein the experimental operating conditions include different operating heads and load instructions;

[0077] The curve fitting unit 302 is used to fit the minimum load setting value curve of the initial index requirement according to the target exponential function corresponding to the preset large frequency difference step frequency modulation index requirement;

[0078] The accuracy verification unit 303 is used to evaluate whether the initial indicator requirement minimum load setting value curve obtained by the curve fitting unit 302 meets the preset accuracy requirement according to a preset evaluation formula;

[0079] The curve adjustment unit 304 is configured to adjust the initial indicator requirement minimum load setting value curve according to the intelligent optimization strategy to obtain the target indicator requirement minimum load setting value curve if the verification result of the accuracy verification unit 303 is not achieved;

[0080] The parameter calculation unit 305 is used to compare the deviation between each actual power value obtained by the data acquisition unit 301 and the load setting value in the minimum load setting value curve of the target indicator requirement obtained by the curve adjustment unit 304 according to the frequency modulation mode, and calculate the required capacity of the energy storage device.

[0081] Furthermore, as a response to the above Figure 2 In addition to the implementation of the method shown in the figure, the embodiment of the present invention also provides another energy storage equipment capacity calculation device for auxiliary pumped storage frequency regulation, which is used to calculate the capacity of the above-mentioned Figure 2 This device embodiment corresponds to the aforementioned method embodiment. For ease of reading, this device embodiment will not describe the details of the aforementioned method embodiment one by one, but it should be clear that the device in this embodiment can implement all the contents of the aforementioned method embodiment. Figure 4 As shown, the device includes:

[0082] The data acquisition unit 301 is used to obtain multiple actual power values of the pumped storage unit under multiple experimental operating conditions, wherein the experimental operating conditions include different operating heads and load instructions;

[0083] The curve fitting unit 302 is used to fit the minimum load setting value curve of the initial index requirement according to the target exponential function corresponding to the preset large frequency difference step frequency modulation index requirement;

[0084] The accuracy verification unit 303 is used to evaluate whether the initial indicator requirement minimum load setting value curve obtained by the curve fitting unit 302 meets the preset accuracy requirement according to a preset evaluation formula;

[0085] The curve adjustment unit 304 is configured to adjust the initial indicator requirement minimum load setting value curve according to the intelligent optimization strategy to obtain the target indicator requirement minimum load setting value curve if the verification result of the accuracy verification unit 303 is not achieved;

[0086] The parameter calculation unit 305 is used to compare the deviation between each actual power value obtained by the data acquisition unit 301 and the load setting value in the minimum load setting value curve of the target indicator requirement obtained by the curve adjustment unit 304 according to the frequency modulation mode, and calculate the required capacity of the energy storage device.

[0087] In an optional implementation, the accuracy verification unit 303 includes:

[0088] The accuracy verification module 3031 is configured to determine, based on a preset evaluation formula, whether a specified load setting value exists in the load setting value of the minimum load setting value curve of the initial indicator requirement, and whether the specified load setting value does not meet the indicator value corresponding to the preset large frequency difference step frequency modulation indicator requirement, wherein the large frequency difference step frequency modulation indicator requirement includes a frequency modulation dead zone requirement, a response time requirement, a rise time requirement, and a regulation time requirement;

[0089] The result determination module 3032 is configured to determine that the minimum load setting value curve required by the initial indicator does not meet the preset accuracy requirement if the verification result of the accuracy verification module 3031 is yes.

[0090] In an optional implementation, the target index function is:

[0091]

[0092] In the above formula: Y is the load setting value in the minimum load setting value curve required by the fitting index, t is time, A is the preset large frequency difference step amount, and β is the correction coefficient.

[0093] In an optional implementation, the curve adjustment unit 304 is specifically configured to:

[0094] Construct a target optimization model with the correction coefficient in the target exponential function as the optimization variable;

[0095] The target optimization model is solved using an intelligent optimization algorithm until the error between the specified load setting value in the initial indicator requirement minimum load setting value curve and the corresponding indicator value reaches a preset error standard, thereby obtaining the target indicator requirement minimum load setting value curve.

[0096] In an optional implementation manner, the parameter calculation unit 305 is specifically configured to:

[0097] When the frequency regulation mode is in the load reduction direction, the plurality of actual power values are respectively compared with the load setting values in the minimum load setting value curve required by the target indicator, and a target time interval in which the actual power value is higher than the load setting value is identified;

[0098] For each target time interval, the maximum power deviation in the difference between the actual power value and each load set value is calculated, and the difference between the actual power value and each load set value is integrated to obtain the deviation integral value;

[0099] The maximum value of the maximum power deviation in all target time intervals is determined as the rated power value in the capacity;

[0100] Accumulate the deviation integral values corresponding to all target time intervals to obtain the rated capacity value in the capacity.

[0101] In another optional implementation, the parameter calculation unit 305 is specifically configured to:

[0102] When the frequency modulation mode is in the load increasing direction, the plurality of actual power values are respectively compared with the load setting values in the minimum load setting value curve of the target indicator requirement, and a target time interval in which the actual power value is lower than the load setting value is identified;

[0103] For each target time interval, the maximum power deviation in the difference between the actual power value and each load set value is calculated, and the difference between the actual power value and each load set value is integrated to obtain the deviation integral value;

[0104] The maximum value of the maximum power deviation in all target time intervals is determined as the rated power value in the capacity;

[0105] Accumulate the deviation integral values corresponding to all target time intervals to obtain the rated capacity value in the capacity.

[0106] In an optional implementation manner, the preset evaluation formula is:

[0107]

[0108] Where, is the load setting value in the minimum load setting value curve required by the indicator; is the indicator value, and n is the specific number of assessment indicators of the regional power grid.

[0109] Furthermore, an embodiment of the present invention further provides a storage medium for storing a computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute the above Figure 1-2 The capacity calculation method of energy storage equipment for auxiliary pumped storage frequency regulation is described in.

[0110] Furthermore, an embodiment of the present invention further provides a processor, which is used to run a program, wherein the program executes the above-mentioned Figure 1-2 The capacity calculation method of energy storage equipment for auxiliary pumped storage frequency regulation is described in.

[0111] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0112] It is understood that the relevant features of the above methods and devices can be referenced to each other. In addition, the terms "first" and "second" in the above embodiments are used to distinguish between the embodiments, and do not represent the advantages and disadvantages of the embodiments.

[0113] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0114] The algorithm and display provided herein are not inherently related to any particular computer, virtual system or other device. Various general-purpose systems can also be used together with the teachings based on this. According to the above description, it is obvious that the structure required for constructing this type of system. In addition, the present invention is not directed to any specific programming language. It should be understood that various programming languages can be utilized to realize the content of the present invention described herein, and the above description of specific languages is for the purpose of disclosing the best mode of the present invention.

[0115] In addition, the memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0116] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0117] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0118] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0119] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0120] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0121] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0122] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0123] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0124] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0125] The above are merely embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should all be included within the scope of the claims of the present application.

Claims

1. A method for calculating the capacity of energy storage equipment for auxiliary pumped storage frequency regulation, characterized in that: The method comprises: Acquiring multiple actual power values of the pumped storage unit under multiple experimental operating conditions, wherein the experimental operating conditions include different operating heads and load instructions; Fit the minimum load setting value curve of the initial index requirement according to the target exponential function corresponding to the preset large frequency difference step frequency regulation index requirement; Evaluate whether the minimum load setting value curve of the initial indicator requirement meets the preset accuracy requirement according to a preset evaluation formula; If not, adjusting the minimum load setting value curve of the initial indicator requirement according to the intelligent optimization strategy to obtain the minimum load setting value curve of the target indicator requirement; According to the frequency regulation mode, the deviation between each actual power value and the load setting value in the minimum load setting value curve required by the target indicator is compared, and the required capacity of the energy storage device is calculated so that the energy storage device can assist the pumped storage unit in power frequency regulation according to the capacity.

2. The method according to claim 1, characterized in that Evaluate whether the minimum load setting value curve of the initial indicator requirement meets the preset accuracy requirement according to a preset evaluation formula, including: According to a preset evaluation formula, it is determined whether there is a specified load setting value in the load setting value of the minimum load setting value curve of the initial indicator requirement, and the specified load setting value does not meet the indicator value corresponding to the preset large frequency difference step frequency modulation indicator requirement, wherein the large frequency difference step frequency modulation indicator requirement includes a frequency modulation dead zone requirement, a response time requirement, a rise time requirement, and an adjustment time requirement; If so, it is determined that the initial indicator requires that the minimum load setting value curve does not meet the preset accuracy requirement.

3. The method according to claim 1, characterized in that The target index function is: Where Y is the load setting value in the minimum load setting value curve required by the fitting index, t is time, A is the preset large frequency difference step amount, and β is the correction coefficient.

4. The method according to claim 1, wherein The initial indicator requirement minimum load setting value curve is adjusted according to the intelligent optimization strategy to obtain the target indicator requirement minimum load setting value curve, including: Construct a target optimization model with the correction coefficient in the target exponential function as the optimization variable; The target optimization model is solved using an intelligent optimization algorithm until the error between the specified load setting value in the initial indicator requirement minimum load setting value curve and the corresponding indicator value reaches a preset error standard, thereby obtaining the target indicator requirement minimum load setting value curve.

5. The method according to claim 1, wherein According to the frequency modulation mode, the deviation between each actual power value and the load setting value in the minimum load setting value curve required by the target indicator is compared to calculate the required capacity of the energy storage device, including: When the frequency regulation mode is in the load reduction direction, the plurality of actual power values are respectively compared with the load setting values in the minimum load setting value curve required by the target indicator, and a target time interval in which the actual power value is higher than the load setting value is identified; For each target time interval, the maximum power deviation in the difference between the actual power value and each load set value is calculated, and the difference between the actual power value and each load set value is integrated to obtain the deviation integral value; The maximum value of the maximum power deviation in all target time intervals is determined as the rated power value in the capacity; Accumulate the deviation integral values corresponding to all target time intervals to obtain the rated capacity value in the capacity.

6. The method according to claim 1, characterized in that According to the frequency modulation mode, the deviation between each actual power value and the load setting value in the minimum load setting value curve required by the target indicator is compared to calculate the required capacity of the energy storage device, including: When the frequency modulation mode is in the load increasing direction, the plurality of actual power values are respectively compared with the load setting values in the minimum load setting value curve of the target indicator requirement, and a target time interval in which the actual power value is lower than the load setting value is identified; For each target time interval, the maximum power deviation in the difference between the actual power value and each load set value is calculated, and the difference between the actual power value and each load set value is integrated to obtain the deviation integral value; The maximum value of the maximum power deviation in all target time intervals is determined as the rated power value in the capacity; Accumulate the deviation integral values corresponding to all target time intervals to obtain the rated capacity value in the capacity.

7. The method according to claim 2, characterized in that The preset evaluation formula is: Where y i The load setting value in the minimum load setting value curve required by the indicator; is the index value, and n is the number of specific assessment indicators of the regional power grid.

8. A device for calculating the capacity of energy storage equipment to assist pumped storage frequency regulation, characterized in that: The device comprises: a data acquisition unit, configured to acquire a plurality of actual power values of the pumped storage unit under a plurality of experimental operating conditions, wherein the experimental operating conditions include different operating heads and load instructions; A curve fitting unit is used to fit the minimum load setting value curve of the initial index requirement according to the target exponential function corresponding to the preset large frequency difference step frequency modulation index requirement; An accuracy verification unit, configured to evaluate, based on a preset evaluation formula, whether the curve of the minimum load setting value of the initial indicator requirement obtained by the curve fitting unit meets a preset accuracy requirement; a curve adjustment unit, configured to adjust the minimum load setting value curve of the initial indicator requirement according to an intelligent optimization strategy to obtain the minimum load setting value curve of the target indicator requirement if the verification result of the accuracy verification unit is not achieved; a parameter calculation unit for comparing, according to the frequency modulation mode, deviations between the actual power values obtained by the data acquisition unit and the load setting values in the curve of the minimum load setting value required by the target indicator obtained by the curve adjustment unit, and calculating the required capacity of the energy storage device so that the energy storage device can assist the pumped storage unit in power frequency modulation according to the capacity.

9. A storage medium, characterized in that: The storage medium includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute the energy storage device capacity calculation method for auxiliary pumped storage frequency regulation according to any one of claims 1 to 7.

10. A processor, characterized in that: The processor is used to run a program, wherein when the program is run, the method for calculating the capacity of energy storage equipment for auxiliary pumped storage frequency regulation according to any one of claims 1 to 7 is executed.

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