Battery energy storage rapid frequency modulation effect quantification method and device, equipment and storage medium

Abstract

The embodiment of the invention provides a battery energy storage rapid frequency modulation effect quantification method and device, electronic equipment and a storage medium, and belongs to the technical field of power grid frequency modulation. The method comprises the following steps: acquiring system parameters of a power system; on the basis of the system parameters, inertia merging is carried out on the power system, and the total inertia of the system is obtained; based on the system parameters and the total inertia of the system, performing frequency deviation analysis on the power system to obtain frequency deviation data; based on the frequency deviation data, the total inertia of the system and the system parameters, performing frequency response characteristic analysis to obtain a generator aggregation frequency response landslide rate; and based on the system parameters, the total inertia of the system and the aggregated frequency response landslide rate of the generator, performing frequency modulation effect quantification to obtain battery energy storage rapid frequency modulation effect data. According to the embodiment of the invention, the reliability of rapid frequency modulation of the power system can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of power grid frequency regulation, and in particular to a method and device for quantifying the rapid frequency regulation effect of battery energy storage, an electronic device, and a storage medium. Background Art

[0002] Battery energy storage fast frequency regulation refers to the process of regulating frequency changes in the power system by utilizing the fast response characteristics of the battery energy storage system. With the rapid development of new energy technologies and their large-scale access to the power system, the traditional power system based on synchronous generators faces the challenge of frequency security and stability. Due to the intermittent and uncertain nature of new energy, the inertia level of the power system is reduced, resulting in a weakened resistance to frequency changes and an increased risk of frequency deviation. As a flexible and fast frequency regulation resource, the battery energy storage system can respond quickly to disturbances in the power system and provide the necessary power support to maintain the frequency stability of the power system.

[0003] However, existing research and practice mainly focus on the demand response of energy storage systems and the suppression of new energy fluctuations, but lack a mechanism-based approach, which leads to unreliable rapid frequency regulation of battery energy storage in power systems. Therefore, how to improve the reliability of rapid frequency regulation of battery energy storage has become a technical problem that needs to be solved urgently. Summary of the invention

[0004] The main purpose of the embodiments of the present application is to propose a method and device for quantifying the rapid frequency modulation effect of battery energy storage, an electronic device and a storage medium, aiming to improve the reliability of rapid frequency modulation of battery energy storage.

[0005] To achieve the above-mentioned purpose, a first aspect of an embodiment of the present application proposes a method for quantifying the rapid frequency modulation effect of battery energy storage, which is applied to a battery energy storage system. The method includes: Obtaining system parameters of the power system; Based on the system parameters, performing inertia merging on the power system to obtain a total inertia of the system; Based on the system parameters and the total inertia of the system, frequency deviation analysis is performed on the power system to obtain frequency deviation data; Based on the frequency deviation data, the total inertia of the system and the system parameters, a frequency response characteristic analysis is performed to obtain a generator aggregate frequency response landslide rate; Based on the system parameters, the total inertia of the system and the aggregate frequency response ramp rate of the generator, the frequency modulation effect is quantified to obtain the battery energy storage rapid frequency modulation effect data.

[0006] In some embodiments, the system parameters include a dead-zone frequency of the power system and a minimum stable frequency of the power system, and the frequency deviation analysis of the power system based on the system parameters, the system parameters and the total inertia of the system to obtain frequency deviation data includes: Obtaining a current frequency of the power system; Based on the dead-zone frequency of the power system and the current frequency of the system, a frequency difference calculation is performed on the power system to obtain a first deviation frequency; Based on the first deviation frequency, frequency modulation is performed on the power system to obtain a system frequency modulation frequency; Based on the system frequency modulation frequency and the minimum stable frequency of the power system, a secondary frequency difference calculation is performed on the power system to obtain a second deviation frequency; The first deviation frequency and the second deviation frequency are integrated to obtain the frequency deviation data.

[0007] In some embodiments, the system parameters include a total number of generators, an inertia time constant, and a maximum power generation power, and the inertia merging of the power system based on the system parameters to obtain the total inertia of the system includes: Identifying faulty motors in the power system to obtain the number of faulty generators; Determining the number of non-faulty generators based on the number of faulty generators and the total number of generators; Calculating the generator inertia based on the inertia time constant, the maximum power generation and the number of non-faulty generators to obtain the generator inertia; The generator inertia is combined to obtain the total inertia of the system.

[0008] In some embodiments, the system parameters include the generator speed regulation system time constant, the total single frequency regulation of the system new energy, and the total frequency regulation of the battery energy storage system. The frequency regulation effect is quantified based on the system parameters, the total inertia of the system, and the aggregate frequency response landslide rate of the generator to obtain the battery energy storage fast frequency regulation effect data, including: Predicting the minimum value of the landslide rate of the aggregate frequency response of the generator to obtain minimum landslide rate data; Based on the total inertia of the system and the time constant of the generator speed control system, a dynamic response analysis is performed to obtain a dynamic response coefficient; Based on the minimum landslide rate data, the total inertia of the system, the total single frequency modulation of the new energy of the system and the total frequency modulation of the battery energy storage system, a system stability analysis is performed to obtain a frequency stability index; Based on the dynamic response coefficient and the frequency stability index, the frequency modulation effect is analyzed to obtain the battery energy storage fast frequency modulation effect data.

[0009] In some embodiments, the dynamic response analysis is performed based on the total inertia of the system and the time constant of the generator speed control system to obtain the dynamic response coefficient, including: The dynamic response coefficient is calculated by using the following dynamic response coefficient calculation formula to calculate the system dynamic characteristics of the power system to obtain the dynamic response coefficient: ; in, represents the total inertia of the system, represents the time constant of the generator speed control system of the g-th synchronous generator, represents the preset first constant coefficient, Represents the preset second constant coefficient, represents the preset third constant coefficient, represents the dynamic response coefficient.

[0010] In some embodiments, the system stability analysis is performed based on the minimum landslide rate data, the total inertia of the system, the total single frequency modulation of the new energy of the system, and the total frequency modulation of the battery energy storage system to obtain a frequency stability index, including: The following system stability analysis formula is used to calculate the system stability of the power system and obtain the frequency stability index: ; in, represents the frequency stability index, represents the total inertia of the system, It indicates the total amount of frequency modulation of the new energy in the system. represents the total frequency modulation amount of the battery energy storage system, Indicates the minimum data of the landslide rate.

[0011] In some embodiments, the frequency modulation effect analysis is performed based on the dynamic response coefficient and the frequency stability index to obtain the battery energy storage fast frequency modulation effect data, including: The frequency modulation effect of the battery energy storage system is quantitatively calculated using the following battery energy storage rapid frequency modulation effect quantification formula to obtain battery energy storage rapid frequency modulation effect data: ; in, represents the battery energy storage rapid frequency modulation effect data of the battery energy storage system at time t, represents the proportional coefficient of the aggregate frequency response ramp rate of the generator to the primary frequency reserve, wherein the primary frequency reserve represents the reserve capacity reserved in the power system, represents the dynamic response coefficient, represents the frequency stability index, represents the total inertia of the system, represents the time constant of the generator speed control system of the g-th synchronous generator, It indicates the total amount of frequency modulation of the new energy in the system. Indicates the total frequency regulation of the battery energy storage system.

[0012] To achieve the above-mentioned purpose, a second aspect of an embodiment of the present application proposes a device for quantifying the rapid frequency modulation effect of battery energy storage, the device comprising: A system parameter acquisition module, used to acquire system parameters of the power system; A system inertia calculation module, used for combining the inertia of the power system based on the system parameters to obtain the total inertia of the system; A frequency deviation analysis module, used to perform frequency deviation analysis on the power system based on the system parameters and the total inertia of the system to obtain frequency deviation data; A landslide rate analysis module, used to perform frequency response characteristic analysis based on the frequency deviation data, the total inertia of the system and the system parameters, to obtain a landslide rate of the aggregate frequency response of the generator; The frequency modulation effect quantification module is used to quantify the frequency modulation effect based on the system parameters, the total inertia of the system and the aggregate frequency response landslide rate of the generator to obtain the battery energy storage rapid frequency modulation effect data.

[0013] To achieve the above objectives, a third aspect of an embodiment of the present application proposes an electronic device, which includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method described in the first aspect is implemented.

[0014] To achieve the above-mentioned purpose, the fourth aspect of an embodiment of the present application proposes a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described in the first aspect is implemented.

[0015] The method and device, electronic device and storage medium for quantifying the rapid frequency regulation effect of battery energy storage proposed in the present application can obtain the rapid frequency regulation effect data of battery energy storage by accurately acquiring the system parameters of the power system, calculating the total system inertia of the power system, analyzing the frequency deviation of the power system, evaluating the landslide rate of the aggregate frequency response of the generator, and quantifying the rapid frequency regulation effect of the battery energy storage system. The method and device can accurately evaluate and predict the performance of the battery energy storage system in actual operation, thereby improving the power system to improve the frequency regulation capability of the battery energy storage system, so that it can more effectively cope with frequency fluctuations in the power system, and improve the reliability of the rapid frequency regulation of the battery energy storage. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a flow chart of a method for quantifying the rapid frequency modulation effect of battery energy storage provided in an embodiment of the present application; Figure 2 is a schematic diagram of the structure of the power system provided in the embodiment of the present application; Figure 3 yes Figure 1 Flow chart of step S102 in FIG. Figure 4 yes Figure 1 Flow chart of step S103 in FIG. Figure 5 yes Figure 1 Flow chart of step S105 in FIG. Figure 6 It is a structural schematic diagram of a device for quantifying the rapid frequency modulation effect of battery energy storage provided in an embodiment of the present application; Figure 7 It is a schematic diagram of the hardware structure of the electronic device provided in the embodiment of the present application. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0018] It should be noted that, although the functional modules are divided in the device schematic diagram and the logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flowchart. The terms "first", "second", etc. in the specification, claims and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0020] First, some nouns involved in this application are analyzed: Power system: A power system is a system composed of synchronous generators, new energy sources (such as wind power and solar energy) and battery energy storage, where energy storage can be connected on the power supply side, the grid side and the load side. The system quantifies the contribution of battery energy storage to the system frequency stability through an analytical model of the rapid frequency regulation effect of battery energy storage, in order to address the problems of reduced inertia and increased uncertainty caused by the access of new energy sources, and improve the frequency safety and stability of the power system.

[0021] Battery energy storage fast frequency regulation refers to the process of regulating frequency changes in the power system by utilizing the fast response characteristics of the battery energy storage system. With the rapid development of new energy technologies and their large-scale access to the power system, the traditional power system based on synchronous generators faces the challenge of frequency security and stability. Due to the intermittent and uncertain nature of new energy, the inertia level of the power system is reduced, resulting in a weakened resistance to frequency changes and an increased risk of frequency deviation. As a flexible and fast frequency regulation resource, the battery energy storage system can respond quickly to disturbances in the power system and provide the necessary power support to maintain the frequency stability of the power system.

[0022] However, existing research and practice mainly focus on the demand response of energy storage systems and the suppression of new energy fluctuations, but lack a mechanism-based approach, which leads to unreliable rapid frequency regulation of battery energy storage in power systems. Therefore, how to improve the reliability of rapid frequency regulation of battery energy storage has become a technical problem that needs to be solved urgently.

[0023] Based on this, the embodiments of the present application provide a method and device for quantifying the rapid frequency modulation effect of battery energy storage, an electronic device and a storage medium, aiming to improve the reliability of rapid frequency modulation of battery energy storage.

[0024] The method and device for quantifying the rapid frequency modulation effect of battery energy storage, electronic device and storage medium provided in the embodiments of the present application are specifically illustrated through the following embodiments. First, the method for quantifying the rapid frequency modulation effect of battery energy storage in the embodiments of the present application is described.

[0025] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Artificial Intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0026] AI basic technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, big data processing technology, operation / interaction systems, mechatronics, etc. AI software technologies mainly include computer vision technology, robotics technology, biometrics technology, speech processing technology, natural language processing technology, and machine learning / deep learning.

[0027] The method for quantifying the rapid frequency regulation effect of battery energy storage provided in the embodiment of the present application relates to the field of power grid frequency regulation technology. The method for quantifying the rapid frequency regulation effect of battery energy storage provided in the embodiment of the present application can be applied to a terminal, can also be applied to a server side, and can also be software running in a terminal or a server side. In some embodiments, the terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc.; the server side can be configured as an independent physical server, or can be configured as a server cluster or a distributed system composed of multiple physical servers, and can also be configured as a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms; the software can be an application that implements the method for quantifying the rapid frequency regulation effect of battery energy storage, etc., but is not limited to the above forms.

[0028] The present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc. The present application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present application can also be practiced in distributed computing environments, in which tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.

[0029] Figure 1 This is an optional flow chart of the method for quantifying the rapid frequency modulation effect of battery energy storage provided in the embodiment of the present application. Figure 1 The method may include but is not limited to steps S101 to S105.

[0030] Step S101, obtaining system parameters of the power system; Step S102, based on the system parameters, the inertia of the power system is combined to obtain the total inertia of the system; Step S103, based on the system parameters and the total inertia of the system, a frequency deviation analysis is performed on the power system to obtain frequency deviation data; Step S104, based on the frequency deviation data, the total inertia of the system and the system parameters, a frequency response characteristic analysis is performed to obtain the aggregate frequency response landslide rate of the generator; Step S105, based on the system parameters, the total inertia of the system and the aggregate frequency response ramp rate of the generator, the frequency modulation effect is quantified to obtain the battery energy storage rapid frequency modulation effect data.

[0031] In the steps S101 to S105 shown in the embodiment of the present application, by obtaining the system parameters of the power system, the inertia is merged to calculate the total inertia of the power system, and the total inertia of the system is obtained. Then, the frequency deviation analysis of the power system is performed using the system parameters and the total inertia of the system to obtain the frequency deviation data, and then based on the frequency deviation data, the total inertia of the system and the system parameters, the frequency response characteristic analysis is performed to obtain the aggregate frequency response landslide rate of the generator. Finally, based on the system parameters, the total inertia of the system and the aggregate frequency response landslide rate of the generator, the rapid frequency modulation effect of the battery energy storage is quantified to obtain the rapid frequency modulation effect data of the battery energy storage. Therefore, the present application can accurately evaluate and predict the performance of the battery energy storage system in actual operation by accurately obtaining the system parameters of the power system, calculating the total system inertia of the power system, analyzing the frequency deviation of the power system, evaluating the aggregate frequency response landslide rate of the generator, and quantifying the rapid frequency modulation effect of the battery energy storage system to obtain the rapid frequency modulation effect data of the battery energy storage. Therefore, the present application can accurately evaluate and predict the performance of the battery energy storage system in actual operation, thereby improving the power system to improve the frequency modulation capability of the battery energy storage system, so that it can more effectively cope with the frequency fluctuations in the power system, and improve the reliability of the rapid frequency modulation of the battery energy storage.

[0032] See also Figure 2 As shown, in step S101 of some embodiments, the power system refers to a complex network composed of power generation, transmission, transformation, distribution and consumption, which is mainly used to transmit electric energy from the power generation source to the user and ensure its safe, stable and efficient operation. Further, the power system usually integrates new energy modules, energy storage modules and synchronous generator modules, wherein the new energy module refers to the use of renewable energy for frequency modulation, such as wind energy, solar energy, hydropower, etc., which is generally set on the load side of the power system, the energy storage module is a battery energy storage system, which refers to a device that can store and release electric energy, which can be set on the power supply side, grid side and load side of the power system, and the synchronous generator module is used to provide stable power output, maintain the frequency and voltage stability of the power system, and is set on the power supply side of the power system.

[0033] In the embodiment of the present application, the system parameters include the operating status of the synchronous generator, the speed regulation system time constant, the inertia time constant and the maximum power generation power, the maximum generator loss power, the frequency response delay time, and the rated frequency, minimum frequency, and dead zone frequency of the power system. In addition, the system parameters also include the frequency of rapid frequency regulation provided by the battery energy storage system, the total frequency regulation of the battery energy storage system, the total single frequency regulation of the system's new energy, the response time of the new energy to provide a frequency regulation, the proportional coefficient of the synchronous generator frequency response landslide rate and the primary frequency reserve, the constant coefficient, etc.

[0034] It should be noted that the operating state of the synchronous generator includes a start-up state and a shutdown state. The speed control system time constant is used to indicate the parameter of the response speed of the synchronous generator module. Specifically, the larger the speed control system time constant is, the slower the response of the synchronous generator module is. The inertia time constant is used to indicate the ability of the synchronous generator module to maintain the original speed. The maximum power generation refers to the maximum power that the synchronous generator module can output. The maximum generator loss power refers to the power loss caused by the maximum generator failure that may occur in the power system. The frequency response delay time indicates the delay time for the synchronous generator module to respond to the frequency change. The rated power refers to the standard frequency when the power system is operating normally. The minimum frequency refers to the minimum frequency allowed when the power system is running. The dead frequency of the power system refers to the frequency deviation range allowed by the power system. The frequency of the rapid frequency regulation provided by the battery energy storage system refers to the target frequency of the power system when the battery energy storage system participates in the rapid frequency regulation. The total frequency regulation of the battery energy storage system refers to the total power that the battery energy storage system can provide for rapid frequency regulation. The total frequency regulation of the system's new energy single-time frequency regulation refers to the power adjustment amount that the new energy module can provide when participating in a frequency regulation. The response time of the new energy to provide primary frequency regulation refers to the time it takes for the new energy module to respond to frequency changes. The proportional coefficient of the synchronous generator frequency response landslide rate and the primary frequency reserve is used to describe the relationship between the synchronous generator module frequency response landslide rate and the primary frequency reserve. The constant coefficient appears as a fixed coefficient in the frequency regulation effect calculation, and is often used to adjust and optimize the frequency regulation effect calculation formula to ensure the accuracy of the frequency regulation effect calculation results.

[0035] In the embodiment of the present application, the system parameters of the power system can be obtained by querying the power system operator, and the system parameters of the power system can also be obtained by querying the databases of relevant metering departments, power plants, energy storage power stations, market trading departments and other units.

[0036] In step S102 of some embodiments, the total system inertia refers to the ability of the power system to resist frequency changes.

[0037] In an embodiment of the present application, the number of running synchronous generators can be determined based on the operating status of the synchronous generators in the system parameters, and then the resistance of each running synchronous generator to frequency changes can be calculated. Finally, the resistance of the synchronous generators to frequency changes is summarized to obtain the total system inertia of the power system.

[0038] For details, see Figure 3 In some embodiments, step S102 may include but is not limited to steps S301 to S304: Step S301, identifying faulty motors in the power system to obtain the number of faulty generators; Step S302, determining the number of non-faulty generators based on the number of faulty generators and the total number of generators; Step S303, calculating the generator inertia based on the inertia time constant, the maximum power generation and the number of non-faulty generators to obtain the generator inertia; Step S304, merging the generator inertia data to obtain the total system inertia.

[0039] In step S301 and step S302 of some embodiments, the number of faulty generators refers to the number of synchronous generators whose operating state is a shutdown state. The total number of generators refers to the total number of synchronous generators in the power system. The number of non-faulty generators refers to the number of synchronous generators whose operating state is a startup state.

[0040] In an embodiment of the present application, the number of synchronous generators in a shutdown state, that is, the number of faulty generators, can be determined based on the operating status of the synchronous generators in the system parameters. Furthermore, based on the number of synchronous generators and the number of faulty generators recorded in the power system, the number of synchronous generators in a startup state can be estimated to obtain the number of non-faulty generators.

[0041] In step S303 and step S304 of some embodiments, the inertia time constant of all synchronous generators in the power system may be calculated by multiplying the maximum power generation of all synchronous generators by the operating state of the synchronous generators.

[0042] In detail, the total system inertia of the power system can be calculated using the following system inertia formula: ; in, represents the inertia time constant of the g-th synchronous generator, represents the maximum power generation of the g-th synchronous generator, Indicates the number of non-faulty generators, Indicates the operating status of the g-th synchronous generator.

[0043] In steps S301 to S304 of some embodiments, the number of faulty generators is obtained by identifying faulty motors in the power system, and then the number of non-faulty generators is determined based on the number of faulty generators. Secondly, the inertia of the synchronous generator is calculated based on the inertia time constant, the maximum power generation power and the number of non-faulty generators to obtain the generator inertia. Finally, the generator inertia data is merged to obtain the total system inertia, which can lay a foundation for quantifying the rapid frequency regulation effect of battery energy storage, so that the battery energy storage system needs to adjust the frequency regulation strategy according to the total system inertia of the power system to ensure that the frequency stability of the power system can be effectively supported under different inertia conditions.

[0044] In step S103 of some embodiments, the frequency deviation data includes a first deviation frequency and a second deviation frequency, wherein the first deviation frequency refers to the difference between the frequency when the power system enters the frequency regulation dead zone and the frequency when the battery energy storage system starts to provide frequency regulation services, and the second deviation frequency refers to the difference between the frequency when the battery energy storage system provides fast frequency regulation services and the minimum frequency at which the power system can operate stably. It should also be noted that the frequency regulation dead zone refers to the frequency deviation of the power system reaching a threshold that requires the battery energy storage system to perform frequency regulation.

[0045] In an embodiment of the present application, a frequency deviation analysis can be performed based on the dead-zone frequency of the power system and the current system frequency of the power system to obtain a first deviation frequency, and then based on the first deviation frequency, a battery energy storage system can be used to perform rapid frequency modulation to obtain a system frequency modulation frequency, and then a frequency difference calculation is performed based on the system frequency modulation frequency and the minimum stable frequency of the power system to obtain a second deviation frequency, and finally the first deviation frequency and the second deviation frequency are integrated to obtain frequency deviation data.

[0046] For details, see Figure 4 In some embodiments, step S103 may include but is not limited to steps S401 to S405: Step S401, obtaining the current system frequency of the power system; Step S402, based on the dead-zone frequency of the power system and the current frequency of the system, the frequency difference of the power system is calculated to obtain a first deviation frequency; Step S403, based on the first deviation frequency, frequency modulation is performed on the power system to obtain a system frequency modulation frequency; Step S404, based on the system frequency modulation frequency and the minimum stable frequency of the power system, a secondary frequency difference calculation is performed on the power system to obtain a second deviation frequency; Step S405 , integrating the first deviation frequency and the second deviation frequency to obtain frequency deviation data.

[0047] In step S401 of some embodiments, the current system frequency refers to the frequency data at the current moment after a disturbance occurs in the power system.

[0048] In an embodiment of the present application, the frequency data of the power system can be monitored in real time by a frequency measuring device installed in the power system. Furthermore, a data acquisition system can be used to collect the frequency data and perform frequency analysis on the frequency data, so as to obtain the current frequency of the system.

[0049] In step S402 of some embodiments, the first deviation frequency can be determined by calculating the difference between the dead-zone frequency of the power system and the current frequency of the system. For example, when the dead-zone frequency of the power system is set to 49.8 Hz, if the frequency of the electronic system drops to 49.7 Hz due to a sudden increase in load at a certain moment, the battery energy storage system begins to intervene to provide frequency regulation services. At this time, the first deviation frequency is 49.8 Hz-49.7 Hz=0.1 Hz.

[0050] In detail, the present application can calculate the first deviation frequency between the dead zone frequency of the power system and the current frequency of the system by the following first deviation frequency calculation formula: ; in, represents the first deviation frequency, Indicates the dead-zone frequency of the power system, Indicates the current system frequency of the power system.

[0051] In step S403 of some embodiments, when the first deviation frequency indicates that the frequency of the power system is lower than the dead zone frequency of the power system, it indicates that the battery energy storage system needs to intervene to provide frequency regulation services. Therefore, the battery energy storage system is used to store or release electric energy to achieve rapid frequency regulation of the power system, thereby obtaining the frequency of the power system after the battery energy storage system provides frequency regulation, that is, the system frequency regulation frequency.

[0052] In step S404 of some embodiments, the second deviation frequency can be determined by calculating the difference between the system frequency modulation frequency and the minimum stable frequency of the power system. For example, when the minimum stable frequency of the power system is 49.5 Hz, the frequency of the power system drops from 50 Hz to 49.7 Hz, and after the battery energy storage system intervenes, the system frequency recovers from 49.7 Hz to 49.9 Hz, then the second deviation frequency is 49.9 Hz − 49.5 Hz = 0.4 Hz.

[0053] In detail, the present application can calculate the second deviation frequency of the power system by the following second deviation frequency calculation formula: ; in, represents the second deviation frequency, Indicates the system frequency modulation frequency of the power system, Indicates the minimum stable frequency of the power system.

[0054] In step S405 of some embodiments, frequency deviation data may be obtained by filling the first deviation frequency and the second deviation frequency into a preset frequency deviation table.

[0055] In steps S401 to S405 of some embodiments, a frequency deviation analysis can be performed on the power system based on the acquired current system frequency of the power system and the dead-zone frequency of the power system to obtain a first deviation frequency. Furthermore, based on the first deviation frequency, the power system is rapidly frequency-modulated to obtain a system frequency modulation frequency. Secondly, based on the system frequency modulation frequency and the minimum stable frequency of the power system, a frequency difference calculation is performed on the power system to obtain a second deviation frequency. Finally, data integration is performed on the first deviation frequency and the second deviation frequency to obtain frequency deviation data.

[0056] In step 104 of some embodiments, the generator aggregate frequency response landslide rate refers to the rate at which the frequency of the synchronous generator decreases when a disturbance occurs in the power system. It should be noted that the smaller the generator aggregate frequency response landslide rate, the stronger the resistance of the synchronous generator to frequency drop, and the better the frequency stability of the power system.

[0057] In the embodiment of the present application, the frequency response rate of the power system can be simulated based on the system parameters of the power system and a pre-constructed traditional synchronous generator aggregate frequency response landslide rate model to obtain the generator aggregate frequency response landslide rate.

[0058] In detail, the frequency response characteristics can be analyzed based on the system parameters such as the rated frequency, minimum frequency, system loss, frequency response delay time, the vector composed of the response time of primary frequency regulation provided by new energy, the total amount of rapid frequency regulation provided by battery energy storage, and the total inertia and frequency deviation data of the above-mentioned systems to obtain the generator aggregate frequency response landslide rate.

[0059] In the embodiment of the present application, the following landslide rate calculation formula can be used to calculate the landslide rate of the aggregate frequency response of the generator of the power system: ; ; ; ; in, represents the aggregate frequency response ramp rate of the generator, It represents the total frequency regulation provided by the battery energy storage system during the rapid frequency regulation of the power system. represents the maximum generator loss power in the power system, Indicates the total amount of single frequency modulation of the system's new energy. It indicates the difference between the power loss of the largest generator in the power system and the total amount of primary frequency regulation provided by the new energy module. It is used to reflect the power shortage that the traditional synchronous generator actually needs to compensate in the power system when new energy participates in frequency regulation. Indicates the total frequency regulation of the battery energy storage system, represents the frequency response delay time of the power system, Indicates the frequency deviation caused by the frequency response delay time. It indicates the correction value of the frequency deviation caused by the frequency response delay time after the influence of factors such as the new energy response time. It represents the vector formed by the response time of the new energy in the power system to provide primary frequency regulation. represents the total inertia of the system, Indicates the rated frequency of the power system.

[0060] In step S105 of some embodiments, after obtaining the system parameters of the power system and calculating the total system inertia of the power system and the generator aggregate frequency response landslide rate of the synchronous generator using the system parameters, the effect of the power system frequency regulation can be quantitatively quantified by using a pre-constructed energy storage rapid frequency regulation effect analytical model in which new energy participates in rapid frequency regulation.

[0061] For details, see Figure 5 In some embodiments, step S105 may include but is not limited to steps S501 to S504: Step S501, estimating the minimum value of the landslide rate of the generator aggregate frequency response to obtain minimum landslide rate data; Step S502, performing dynamic response analysis based on the total inertia of the system and the time constant of the generator speed control system to obtain a dynamic response coefficient; Step S503, based on the minimum landslide rate data, the total inertia of the system, the total single frequency modulation of the system's new energy, and the total frequency modulation of the battery energy storage system, a system stability analysis is performed to obtain a frequency stability index; Step S504: Based on the dynamic response coefficient and the frequency stability index, the frequency modulation effect is analyzed to obtain the battery energy storage rapid frequency modulation effect data.

[0062] In step S501 of some embodiments, the minimum landslide rate data refers to the minimum value of the landslide rate of the aggregated frequency response of the generators that meets the frequency deviation safety constraint.

[0063] In an embodiment of the present application, by substituting the first deviation frequency and the second deviation frequency of the power system into the above-mentioned landslide rate calculation formula, adding a frequency deviation safety constraint, and performing a minimum value estimation, the minimum landslide rate data for each frequency modulation of the power system can be obtained.

[0064] In detail, the present application can calculate the minimum landslide rate data that meets the frequency deviation safety constraint by the following landslide rate minimum data calculation formula: ; in, Indicates the minimum landslide rate data, represents the total amount of fast frequency regulation provided by the battery energy storage system, represents the second deviation frequency, represents the first deviation frequency, represents the total inertia of the system, Indicates the rated frequency of the power system, represents the maximum generator loss power in the power system, represents the frequency response delay time of the power system, It represents the vector formed by the response time of the new energy in the power system to provide primary frequency regulation. It represents the total amount of primary frequency regulation provided by renewable energy. It indicates the difference between the power loss of the largest generator in the power system and the total amount of primary frequency regulation provided by renewable energy. It is used to reflect the power shortage that the traditional synchronous generator actually needs to compensate in the power system when renewable energy participates in frequency regulation. Represents the total amount of fast frequency regulation provided by the battery energy storage system.

[0065] In step S502 of some embodiments, the dynamic response coefficient represents the influence of the total inertia of the system and the speed regulation time constant of the synchronous generator on the frequency regulation effect of the power system.

[0066] In the embodiment of the present application, the following dynamic response coefficient calculation formula can be used to calculate the system dynamic characteristics of the power system to obtain the dynamic response coefficient: ; in, represents the total inertia of the system, represents the time constant of the generator speed control system of the g-th synchronous generator, represents the first constant coefficient, represents the second constant coefficient, represents the third constant coefficient, Represents the dynamic response coefficient.

[0067] In step S503 of some embodiments, the frequency stability index refers to the time from when the battery energy storage system provides rapid frequency regulation to when the power system reaches the minimum stable frequency of the power system.

[0068] The following system stability analysis formula can be used to calculate the system stability of the power system and obtain the frequency stability index: ; in, It represents the frequency stability index, represents the total inertia of the system, Indicates the total amount of single frequency modulation of the system's new energy. Indicates the total frequency regulation of the battery energy storage system, Indicates the minimum landslide rate data.

[0069] In step S504 of some embodiments, the battery energy storage rapid frequency regulation effect data is used to represent the rapid frequency regulation effect of the battery energy storage system at any time point.

[0070] In the embodiment of the present application, the following battery energy storage rapid frequency modulation effect quantification formula can be used to quantify the frequency modulation effect of the battery energy storage system to obtain the battery energy storage rapid frequency modulation effect data: ; in, It represents the battery energy storage rapid frequency modulation effect data of the battery energy storage system at time t, It represents the ratio coefficient of the aggregate frequency response ramp rate of the generator to the primary frequency reserve. The primary frequency reserve represents the reserve capacity reserved in the power system. represents the dynamic response coefficient, It represents the frequency stability index, represents the total inertia of the system, represents the time constant of the generator speed control system of the g-th synchronous generator, Indicates the total amount of single frequency modulation of the system's new energy. Indicates the total frequency regulation of the battery energy storage system.

[0071] In steps S501 to S504 shown in the present embodiment, the minimum landslide rate data is obtained by estimating the minimum value of the landslide rate of the aggregate frequency response of the generator, and then a dynamic response analysis is performed according to the total inertia of the system and the time constant of the generator speed regulation system to obtain a dynamic response coefficient. Further, a system stability analysis is performed according to the minimum landslide rate data and system parameters to obtain a frequency stability index. Finally, according to the system parameters, the dynamic response coefficient and the frequency stability index, the rapid frequency regulation effect of the battery energy storage is analyzed to obtain the rapid frequency regulation effect data of the battery energy storage, which can achieve quantitative quantification of the rapid frequency regulation effect of the battery energy storage system, thereby facilitating the formulation of a suitable rapid frequency regulation scheme for the power system according to the rapid frequency regulation effect of the battery energy storage system, thereby improving the reliability of the rapid frequency regulation of the power system.

[0072] This application obtains battery energy storage rapid frequency regulation effect data by accurately acquiring system parameters of the power system, calculating the total system inertia of the power system, analyzing the frequency deviation of the power system, evaluating the landslide rate of the generator aggregate frequency response, and quantifying the rapid frequency regulation effect of the battery energy storage system. It can accurately evaluate and predict the performance of the battery energy storage system in actual operation, thereby improving the power system to improve the frequency regulation capability of the battery energy storage system, so that it can more effectively cope with frequency fluctuations in the power system, thereby improving the reliability of battery energy storage rapid frequency regulation.

[0073] See also Figure 6 The embodiment of the present application also provides a device for quantifying the rapid frequency modulation effect of battery energy storage, which can implement the above-mentioned method for quantifying the rapid frequency modulation effect of battery energy storage, and the device includes: The system parameter acquisition module 601 is used to acquire the system parameters of the power system; The system inertia calculation module 602 is used to combine the inertia of the power system based on the system parameters to obtain the total inertia of the system; The frequency deviation analysis module 603 is used to perform frequency deviation analysis on the power system based on system parameters and system total inertia to obtain frequency deviation data; The landslide rate analysis module 604 is used to perform frequency response characteristic analysis based on frequency deviation data, system total inertia and system parameters to obtain the generator aggregate frequency response landslide rate; The frequency modulation effect quantification module 605 is used to quantify the frequency modulation effect based on system parameters, total system inertia and generator aggregate frequency response landslide rate to obtain battery energy storage rapid frequency modulation effect data.

[0074] The specific implementation of the device for quantifying the rapid frequency modulation effect of battery energy storage is basically the same as the specific implementation of the method for quantifying the rapid frequency modulation effect of battery energy storage described above, and will not be described in detail here.

[0075] The embodiment of the present application also provides an electronic device, the electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the above-mentioned battery energy storage rapid frequency modulation effect quantification method when executing the computer program. The electronic device can be any intelligent terminal including a tablet computer, a car computer, etc.

[0076] See also Figure 7 , Figure 7 The hardware structure of an electronic device of another embodiment is illustrated, and the electronic device includes: The processor 701 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application; The memory 702 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 702 can store an operating system and other applications. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 702, and the processor 701 calls and executes the battery energy storage fast frequency modulation effect quantification method of the embodiment of this application; Input / output interface 703, used to implement information input and output; Communication interface 704, used to realize communication interaction between the device and other devices, which can be realized through wired mode (such as USB, network cable, etc.) or wireless mode (such as mobile network, WIFI, Bluetooth, etc.); A bus 705 that transmits information between various components of the device (e.g., the processor 701, the memory 702, the input / output interface 703, and the communication interface 704); The processor 701 , the memory 702 , the input / output interface 703 and the communication interface 704 are connected to each other in communication within the device via a bus 705 .

[0077] An embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above-mentioned method for quantifying the rapid frequency modulation effect of battery energy storage is implemented.

[0078] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely disposed relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0079] The embodiments of the present application provide a method for quantifying the rapid frequency modulation effect of battery energy storage, a device for quantifying the rapid frequency modulation effect of battery energy storage, an electronic device, and a storage medium. The method obtains system parameters of the power system, performs inertia merging to calculate the total inertia of the power system, and obtains the total inertia of the system. The system parameters and the total inertia of the system are then used to perform frequency deviation analysis on the power system to obtain frequency deviation data. The frequency response characteristics are then analyzed based on the frequency deviation data, the total inertia of the system, and the system parameters to obtain the aggregate frequency response landslide rate of the generator. Finally, the rapid frequency modulation effect of battery energy storage is quantified based on the system parameters, the total inertia of the system, and the aggregate frequency response landslide rate of the generator to obtain the rapid frequency modulation effect data of battery energy storage.

[0080] The embodiments described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Those skilled in the art will appreciate that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0081] Those skilled in the art will appreciate that the technical solutions shown in the figures do not constitute a limitation on the embodiments of the present application, and may include more or fewer steps than shown in the figures, or a combination of certain steps, or different steps.

[0082] The device embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0083] Those skilled in the art will appreciate that all or some of the steps in the methods disclosed above, and the functional modules / units in the systems and devices may be implemented as software, firmware, hardware, or a suitable combination thereof.

[0084] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0085] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0086] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the above units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. The mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0087] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0088] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0089] If the integrated 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 this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including multiple instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store programs.

[0090] The preferred embodiments of the present invention are described above with reference to the accompanying drawings, but the scope of the rights of the present invention is not limited thereto. Any modification, equivalent substitution and improvement made by a person skilled in the art without departing from the scope and essence of the present invention should be within the scope of the rights of the present invention.

Claims

1. A method for quantifying the rapid frequency modulation effect of battery energy storage, applied to a battery energy storage system, characterized in that: The method comprises: Obtaining system parameters of the power system; Based on the system parameters, performing inertia merging on the power system to obtain a total inertia of the system; Based on the system parameters and the total inertia of the system, frequency deviation analysis is performed on the power system to obtain frequency deviation data; Based on the frequency deviation data, the total inertia of the system and the system parameters, a frequency response characteristic analysis is performed to obtain a generator aggregate frequency response landslide rate; Based on the system parameters, the total inertia of the system and the aggregate frequency response ramp rate of the generator, the frequency modulation effect is quantified to obtain the battery energy storage rapid frequency modulation effect data.

2. The method according to claim 1, characterized in that: The system parameters include the dead zone frequency of the power system and the minimum stable frequency of the power system. Based on the system parameters, the system parameters and the total inertia of the system, the frequency deviation analysis is performed on the power system to obtain the frequency deviation data, including: Obtaining a current frequency of the power system; Based on the dead-zone frequency of the power system and the current frequency of the system, a frequency difference calculation is performed on the power system to obtain a first deviation frequency; Based on the first deviation frequency, frequency modulation is performed on the power system to obtain a system frequency modulation frequency; Based on the system frequency modulation frequency and the minimum stable frequency of the power system, a secondary frequency difference calculation is performed on the power system to obtain a second deviation frequency; The first deviation frequency and the second deviation frequency are integrated to obtain the frequency deviation data.

3. The method according to claim 1, characterized in that The system parameters include the total number of generators, the inertia time constant and the maximum power generation. Based on the system parameters, the inertia of the power system is merged to obtain the total inertia of the system, including: Identifying faulty motors in the power system to obtain the number of faulty generators; Determining the number of non-faulty generators based on the number of faulty generators and the total number of generators; Calculating the generator inertia based on the inertia time constant, the maximum power generation and the number of non-faulty generators to obtain the generator inertia; The generator inertia is data merged to obtain the total inertia of the system.

4. The method according to claim 1, characterized in that: The system parameters include the generator speed regulation system time constant, the total single frequency regulation of the system's new energy, and the total frequency regulation of the battery energy storage system. The frequency regulation effect is quantified based on the system parameters, the total inertia of the system, and the aggregate frequency response landslide rate of the generator to obtain the battery energy storage rapid frequency regulation effect data, including: Predicting the minimum value of the landslide rate of the aggregate frequency response of the generator to obtain minimum landslide rate data; Based on the total inertia of the system and the time constant of the generator speed control system, a dynamic response analysis is performed to obtain a dynamic response coefficient; Based on the minimum landslide rate data, the total inertia of the system, the total single frequency modulation of the new energy of the system and the total frequency modulation of the battery energy storage system, a system stability analysis is performed to obtain a frequency stability index; Based on the dynamic response coefficient and the frequency stability index, the frequency modulation effect is analyzed to obtain the battery energy storage fast frequency modulation effect data.

5. The method according to claim 4, characterized in that The dynamic response analysis is performed based on the total inertia of the system and the time constant of the generator speed control system to obtain the dynamic response coefficient, including: The dynamic response coefficient is calculated by using the following dynamic response coefficient calculation formula to calculate the system dynamic characteristics of the power system to obtain the dynamic response coefficient: ； in, represents the total inertia of the system, represents the time constant of the generator speed control system of the g-th synchronous generator, represents the preset first constant coefficient, Represents the preset second constant coefficient, represents the preset third constant coefficient, represents the dynamic response coefficient.

6. The method according to claim 4, characterized in that The system stability analysis is performed based on the minimum landslide rate data, the total inertia of the system, the total single frequency modulation amount of the system's new energy, and the total frequency modulation amount of the battery energy storage system to obtain a frequency stability index, including: The following system stability analysis formula is used to calculate the system stability of the power system and obtain the frequency stability index: ； in, represents the frequency stability index, represents the total inertia of the system, It indicates the total amount of frequency modulation of the new energy in the system. represents the total frequency modulation amount of the battery energy storage system, Indicates the minimum data of the landslide rate.

7. The method according to claim 4, characterized in that The frequency modulation effect analysis is performed based on the dynamic response coefficient and the frequency stability index to obtain the battery energy storage fast frequency modulation effect data, including: The frequency modulation effect of the battery energy storage system is quantitatively calculated using the following battery energy storage rapid frequency modulation effect quantification formula to obtain battery energy storage rapid frequency modulation effect data: ； in, represents the battery energy storage rapid frequency modulation effect data of the battery energy storage system at time t, represents the proportional coefficient of the aggregate frequency response ramp rate of the generator to the primary frequency reserve, wherein the primary frequency reserve represents the reserve capacity reserved in the power system, represents the dynamic response coefficient, represents the frequency stability index, represents the total inertia of the system, represents the time constant of the generator speed control system of the g-th synchronous generator, It indicates the total amount of frequency modulation of the new energy in the system. Indicates the total frequency regulation of the battery energy storage system.

8. A device for quantifying the rapid frequency modulation effect of battery energy storage, characterized in that: The device comprises: A system parameter acquisition module, used to acquire system parameters of the power system; A system inertia calculation module, used for combining the inertia of the power system based on the system parameters to obtain the total inertia of the system; A frequency deviation analysis module, used to perform frequency deviation analysis on the power system based on the system parameters and the total inertia of the system to obtain frequency deviation data; A landslide rate analysis module, used to perform frequency response characteristic analysis based on the frequency deviation data, the total inertia of the system and the system parameters, to obtain a landslide rate of the aggregate frequency response of the generator; The frequency modulation effect quantification module is used to quantify the frequency modulation effect based on the system parameters, the total inertia of the system and the aggregate frequency response landslide rate of the generator to obtain the battery energy storage rapid frequency modulation effect data.

9. An electronic device, characterized in that: The electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the method for quantifying the rapid frequency modulation effect of battery energy storage as described in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for quantifying the rapid frequency modulation effect of battery energy storage according to any one of claims 1 to 7 is implemented.

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