Inertia coordination-based power control method and device for photovoltaic storage system and electronic equipment

Abstract

This application discloses a photovoltaic-storage cooperative power control method, device, and electronic device considering inertia coordination. It relates to the field of power transmission and distribution control technology. The method includes: in response to a target grid's operating angular frequency being greater than or equal to a first preset threshold of rated angular frequency, acquiring energy storage operating parameters of a target photovoltaic-storage power station used to supply power to the target grid; performing calculations based on the energy storage operating parameters and the rated angular frequency to obtain a first droop coefficient of the photovoltaic converter and a second droop coefficient of the energy storage converter of the target photovoltaic-storage power station; controlling the output power of the photovoltaic converter based on the first droop coefficient; and controlling the output power of the energy storage converter based on the second droop coefficient. This method can provide continuous, reliable inertia support to the grid, similar to that of a synchronous machine, under grid-side frequency fluctuations, maintaining grid stability.

Description

Technical Field

[0001] This invention relates to the field of power transmission control technology, and in particular to a method, apparatus, and electronic device for photovoltaic-storage cooperative power control that takes inertia coordination into account. Background Technology

[0002] Virtual inertial control technology for photovoltaic-storage systems is a key means to improve the stability of high-proportion renewable energy power systems. Its core principle is to simulate the inertial response characteristics and primary frequency regulation function of a synchronous generator through a power electronic converter control algorithm. According to search results, current technologies mainly revolve around virtual synchronous generators (VSGs). Through control algorithms, the photovoltaic-storage system can rapidly release or absorb power based on the grid frequency change rate (df / dt) and frequency deviation (Δf), providing transient frequency support for the system.

[0003] In practical applications, researchers have proposed various inertia coordination and allocation strategies for scenarios involving the coordinated operation of multiple photovoltaic and energy storage units. Typical approaches include frequency-division control, adaptive control, and multi-objective coordinated control. Based on the work of researchers such as Meng Jianhui, frequency-based differentiation of system power disturbances using high-pass filtering and sliding filtering can efficiently allocate the inertial support tasks of different energy storage components: for high-frequency disturbances, supercapacitors are preferentially selected to provide a fast response, while for low-frequency disturbances, batteries undertake the support task. This frequency-division control strategy significantly improves the system's response capability to power disturbances at different time scales.

[0004] Existing control strategies are clearly insufficiently adaptable to scenarios with extremely high photovoltaic penetration. As the proportion of photovoltaic power generation increases significantly, the system's inertia level decreases significantly, and frequency stability issues become more prominent. Zhang Xiangyu et al. pointed out in their research that while multi-machine inertia adjustment can improve frequency stability, it negatively impacts the system's transient stability, particularly its limited ability to suppress the initial swing of the power angle. This deficiency is particularly evident in interconnected power systems under strong disturbances, potentially leading to system instability. Furthermore, traditional virtual inertia control typically only considers local frequency variations, making it difficult to effectively address the complex dynamic characteristics of the entire network under high photovoltaic penetration, and lacking a global stability guarantee mechanism. Summary of the Invention

[0005] In view of this, the present invention provides a photovoltaic-storage co-power control method, device and electronic equipment that considers inertia coordination. The main purpose is to solve the comprehensive problem of the contradiction between steady-state power distribution and transient inertia support capability in the traditional droop control of photovoltaic-storage combined power plants.

[0006] To address the above problems, this application provides a method for optical-storage cooperative power control considering inertia coordination, comprising:

[0007] In response to the target power grid's operating angular frequency being greater than or equal to a first preset threshold of the rated angular frequency, the energy storage operating parameters of the target photovoltaic-storage power station used to supply power to the target power grid are obtained;

[0008] Based on the energy storage operating parameters and the rated angular frequency, calculations are performed to obtain the first droop coefficient of the photovoltaic converter and the second droop coefficient of the energy storage converter of the target photovoltaic-energy storage power station.

[0009] The output power of the photovoltaic converter is controlled based on the first droop coefficient;

[0010] The output power of the energy storage converter is controlled based on the second droop coefficient.

[0011] Optionally, the calculation based on the energy storage operating parameters and the rated angular frequency to obtain the first droop coefficient of the photovoltaic converter and the second droop coefficient of the energy storage converter of the target photovoltaic-energy storage power station specifically includes:

[0012] The equalization coefficient is obtained by calculating based on the energy storage operating parameters and the rated angular frequency.

[0013] Based on the equilibrium coefficient, the Kendall correlation coefficient analysis method is used to calculate and process the first droop coefficient of the photovoltaic converter and the second droop coefficient of the energy storage converter of the target photovoltaic-energy storage power station.

[0014] Optionally, the calculation and processing based on the energy storage operating parameters and the rated angular frequency to obtain the equalization coefficient specifically includes:

[0015] The equilibrium coefficient is obtained by calculating based on the current energy storage SOC state, rated energy storage SOC state, maximum energy storage SOC state, minimum energy storage SOC state, predetermined state of charge ratio coefficient, and rated angular frequency in the energy storage operation parameters.

[0016] Optionally, the calculation based on the equilibrium coefficient using the Kendall correlation coefficient analysis method to obtain the first droop coefficient of the photovoltaic converter and the second droop coefficient of the energy storage converter of the target photovoltaic-energy storage power station specifically includes:

[0017] Based on the balance coefficient, the virtual inertia parameters of the photovoltaic converter, the virtual inertia parameters of the energy storage converter, the active power output of the photovoltaic converter, the set power output of the photovoltaic converter, the scheduling plan power, and the set power output of the energy storage converter, the droop parameter relationship between the photovoltaic converter and the energy storage converter is calculated using a preset droop parameter relationship formula.

[0018] The calculations are performed based on the droop parameter relationship and the preset droop parameter solution equation based on the Kendall correlation coefficient analysis method to obtain the first droop coefficient of the photovoltaic converter and the second droop coefficient of the energy storage converter of the target photovoltaic-energy storage power station.

[0019] Optionally, the mathematical expression for the preset droop parameter relationship is:

[0020]

[0021] in, This indicates the droop parameter of the photovoltaic converter. This indicates the droop parameter of the energy storage converter. This indicates the active power output of the photovoltaic converter. This indicates the set output power of the photovoltaic converter. This indicates the set output power of the energy storage converter. For scheduling planned power, This represents the virtual inertia parameter of the photovoltaic converter. This represents the virtual inertia parameter of the energy storage converter. s This is the equilibrium coefficient;

[0022] The mathematical expression for the equation for solving the preset droop parameter is:

[0023]

[0024] in, This represents the proportional parameter of the PI element in the virtual inertia control of the photovoltaic converter. This represents the proportional parameter of the PI element in the virtual inertia control of the energy storage converter. This represents the equivalent time constant of the dual closed-loop control environment of the photovoltaic converter. denoted by , where represents the equivalent time constant of the dual closed-loop control environment of the energy storage converter, and D is the equivalent damping of the photovoltaic-energy storage power station.

[0025] Optionally, controlling the output power of the photovoltaic converter based on the first droop coefficient specifically includes:

[0026] The first output power of the photovoltaic converter is obtained by calculating the first output power of the photovoltaic converter based on the first droop coefficient, the rated angular frequency, the first angular frequency of the photovoltaic converter, and the set output power of the photovoltaic converter using the first inertial demand function.

[0027] The output power of the photovoltaic converter is controlled based on the first output power.

[0028] Optionally, controlling the output power of the energy storage converter based on the second droop coefficient specifically includes:

[0029] The second output power of the energy storage converter is obtained by calculating the second output power of the energy storage converter based on the second droop coefficient, the rated angular frequency, the second angular frequency of the energy storage converter, and the set output power of the energy storage converter using the second inertial demand function.

[0030] The output power of the energy storage converter is controlled based on the second output power.

[0031] To address the aforementioned problems, this application provides a photoelectric storage cooperative power control device considering inertia coordination, comprising:

[0032] The acquisition module is used to acquire the energy storage operation parameters of the target photovoltaic-storage power station for supplying power to the target power grid in response to the target power grid's operating angular frequency being greater than or equal to a first preset threshold of the rated angular frequency;

[0033] The calculation module is used to perform calculations based on the energy storage operating parameters and the rated angular frequency to obtain the first droop coefficient of the photovoltaic converter and the second droop coefficient of the energy storage converter of the target photovoltaic-energy storage power station.

[0034] The first control module is used to control the output power of the photovoltaic converter based on the first droop coefficient;

[0035] The second control module is used to control the output power of the energy storage converter based on the second droop coefficient.

[0036] To address the aforementioned problems, this application provides a storage medium storing a computer program that, when executed by a processor, implements the steps of the aforementioned optical-storage coordinated power control method considering inertia coordination.

[0037] To address the aforementioned problems, this application provides an electronic device, comprising at least a memory and a processor. The memory stores a computer program, and the processor, when executing the computer program in the memory, implements the steps of the aforementioned optical-storage coordinated power control method considering inertia coordination.

[0038] The beneficial effects of this application are as follows: This application integrates the steady-state power distribution and transient inertia support capability of a photovoltaic-storage system into a coordinated design. It employs an adaptive droop parameter tuning method, which decouples the droop coefficients of the photovoltaic and energy storage inverters from their fixed values, allowing for dynamic adjustment based on the system's real-time operating status and the unit's own operational margin. Under steady-state or quasi-steady-state conditions, the droop parameters ensure that power is distributed among the units according to economic or optimal principles. Once the system detects a frequency mutation, this method immediately triggers a preset inertia power distribution logic. Based on the dynamic weights of each unit, the required inertia support power is rapidly and evenly distributed according to the principle of "responsibility sharing," thereby ensuring that the photovoltaic-storage combined system can function as a whole, providing continuous, reliable inertia support to the grid with characteristics similar to synchronous machines, without impacting equipment.

[0039] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0040] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0041] Figure 1 A schematic flowchart of a photoelectric storage coordinated power control method considering inertia coordination, provided in an embodiment of this application, is shown.

[0042] Figure 2 A flowchart illustrating a photoelectric storage cooperative power control method considering inertia coordination, as provided in another embodiment of this application, is shown.

[0043] Figure 3 A structural block diagram of a photoelectric storage cooperative power control device considering inertia coordination is shown in another embodiment of this application. Detailed Implementation

[0044] Various embodiments and features of this application are described herein with reference to the accompanying drawings.

[0045] It should be understood that various modifications can be made to the embodiments described herein. Therefore, the above description should not be considered as limiting, but merely as an example of embodiments. Other modifications within the scope and spirit of this application will be apparent to those skilled in the art.

[0046] The accompanying drawings, which are included in and form part of this specification, illustrate embodiments of the present application and, together with the general description of the present application given above and the detailed description of the embodiments given below, serve to explain the principles of the present application.

[0047] These and other features of this application will become apparent from the following description of preferred forms of embodiments given as non-limiting examples, with reference to the accompanying drawings.

[0048] It should also be understood that although this application has been described with reference to some specific examples, those skilled in the art can certainly implement many other equivalent forms of this application.

[0049] The above and other aspects, features and advantages of this application will become more apparent when taken in conjunction with the accompanying drawings and in view of the following detailed description.

[0050] Specific embodiments of this application are described thereafter with reference to the accompanying drawings; however, it should be understood that the claimed embodiments are merely examples of this application, which can be implemented in various ways. Well-known and / or repeated functions and structures are not described in detail to avoid unnecessary or redundant details that could obscure the application. Therefore, the specific structural and functional details claimed herein are not intended to be limiting, but merely serve as the basis and representative basis for the claims to teach those skilled in the art to use this application in a variety of substantially any suitable detailed structures.

[0051] This specification may use the phrases “in one embodiment,” “in another embodiment,” “in yet another embodiment,” or “in other embodiments,” all of which may refer to one or more of the same or different embodiments according to this application.

[0052] This application provides a method for optical-storage cooperative power control that considers inertia coordination, such as... Figure 1 As shown, it includes:

[0053] Step S101: In response to the target power grid's operating angular frequency being greater than or equal to a first preset threshold of the rated angular frequency, obtain the energy storage operation parameters of the target photovoltaic-storage power station used to supply power to the target power grid;

[0054] In the specific implementation process of this step, when the operating angular frequency of the target power grid is greater than or equal to the first preset threshold of the rated angular frequency, a transient process of power grid frequency change occurs. At this time, it is necessary to adjust the droop coefficient of the energy storage converter according to the inertia power balance requirements to quickly change its power output, so as to adapt it to the scheduling plan and meet the system's inertia requirements. The energy storage operation parameters of the target photovoltaic-energy storage power station used to supply power to the target power grid are obtained, which lays the foundation for calculating the droop coefficient of the dynamic photovoltaic converter and the energy storage converter.

[0055] Step S102: Based on the energy storage operating parameters and the rated angular frequency, perform calculations to obtain the first droop coefficient of the photovoltaic converter and the second droop coefficient of the energy storage converter of the target photovoltaic-energy storage power station.

[0056] In this step, calculations are performed based on the energy storage operating parameters and the rated angular frequency to obtain the equalization coefficient. Based on the equalization coefficient, the Kendall correlation coefficient analysis method is used to calculate the first droop coefficient of the photovoltaic converter and the second droop coefficient of the energy storage converter of the target photovoltaic-energy storage power station.

[0057] Step S103: Control the output power of the photovoltaic converter based on the first droop coefficient;

[0058] In this step, the first output power of the photovoltaic converter is calculated using a first inertial demand function based on the first droop coefficient, the rated angular frequency, the first angular frequency of the photovoltaic converter, and the set output power of the photovoltaic converter. The output power of the photovoltaic converter is then controlled based on this first output power. By adjusting the droop coefficient of the photovoltaic converter according to the inertial power balancing requirements, its power output is rapidly changed to adapt to the scheduling plan and meet the system's inertial requirements.

[0059] Step S104: Control the output power of the energy storage converter based on the second droop coefficient.

[0060] In this step, the second output power of the energy storage converter is calculated using a second inertial demand function based on the second droop coefficient, the rated angular frequency, the second angular frequency of the energy storage converter, and the set output power of the energy storage converter. The output power of the energy storage converter is then controlled based on this second output power. By adjusting the droop coefficient of the energy storage converter according to the inertial power balancing requirements, its power output is rapidly changed to adapt to the scheduling plan and meet the system's inertial requirements.

[0061] This application integrates the steady-state power distribution and transient inertia support capabilities of a photovoltaic-storage system into a co-designed system. It employs an adaptive droop parameter tuning method, decoupling the droop coefficients of the photovoltaic and energy storage inverters from a fixed value. Instead, the droop coefficients are dynamically adjusted based on the system's real-time operating status and the operational margin of each unit. Under steady-state or quasi-steady-state conditions, the droop parameters ensure that power is distributed among the units according to economic or optimal principles. Once the system detects a frequency mutation, this method immediately triggers a pre-set inertia power distribution logic. Based on the dynamic weights of each unit, the required inertia support power is rapidly and evenly distributed according to the principle of "responsibility sharing." This ensures that the photovoltaic-storage system, as a whole, can provide continuous, reliable inertia support to the grid with characteristics similar to synchronous machines, without impacting equipment.

[0062] Another embodiment of this application provides a different method for optical-storage cooperative power control that considers inertia coordination, such as... Figure 2 As shown, it includes:

[0063] Step S201: In response to the target power grid's operating angular frequency being greater than or equal to a first preset threshold of the rated angular frequency, obtain the energy storage operating parameters of the target photovoltaic-storage power station used to supply power to the target power grid;

[0064] In the specific implementation of this step, when the operating angular frequency of the target power grid is greater than or equal to a first preset threshold of the rated angular frequency, a transient process of grid frequency change occurs. At this time, it is necessary to adjust the droop coefficient of the energy storage converter according to the inertia power balance requirements to quickly change its power output, so as to adapt it to the scheduling plan and meet the system's inertia requirements. This obtains the energy storage operation parameters of the target photovoltaic-energy storage power station used to supply power to the target power grid, laying the foundation for calculating the droop coefficients of the dynamic photovoltaic converter and the energy storage converter. The first preset threshold can be 0.1Hz, and can be set according to actual needs. The energy storage operation parameters include: the current energy storage SOC state. Rated energy storage SOC status Maximum State of Charge (SOC) of Energy Storage Minimum State of Charge (SOC) for Energy Storage Predetermined state of charge ratio Parameters such as these.

[0065] Step S202: Calculate and process the energy storage operating parameters and the rated angular frequency to obtain the equalization coefficient;

[0066] In the specific implementation process of this step, the mathematical expression of the equilibrium coefficient is as shown in the following formula (1):

[0067] (1)

[0068] in, Current energy storage SOC status, Rated energy storage SOC state For energy storage at maximum SOC state, For energy storage minimum SOC state, This is the predetermined state of charge ratio; The rated angular frequency, This is the second angular frequency of the energy storage converter.

[0069] Step S203: Based on the equilibrium coefficient, Kendall correlation coefficient analysis method is used to calculate and process the first droop coefficient of the photovoltaic converter and the second droop coefficient of the energy storage converter of the target photovoltaic power station.

[0070] In the specific implementation process of this step, the photovoltaic converter virtual inertia parameter, the energy storage converter virtual inertia parameter, the active power output of the photovoltaic converter, the set power output of the photovoltaic converter, the scheduling plan power, and the set power output of the energy storage converter are calculated using a preset droop parameter relationship to obtain the droop parameter relationship between the photovoltaic converter and the energy storage converter; the mathematical expression of the preset droop parameter relationship is shown in the following formula (2):

[0071] (2)

[0072] in, This represents the first droop parameter of the photovoltaic converter. This represents the second droop parameter of the energy storage converter. This indicates the active power output of the photovoltaic converter. This indicates the set output power of the photovoltaic converter. This indicates the set output power of the energy storage converter. For scheduling planned power, This represents the virtual inertia parameter of the photovoltaic converter. This represents the virtual inertia parameter of the energy storage converter. s The equalization coefficient is used; by substituting the real-time energy storage parameters and the calculated equalization parameters into formula (2), the first droop parameter of the photovoltaic converter can be calculated. With the second droop parameter of the energy storage converter The relationship between the drooping parameters.

[0073] The active power within a photovoltaic-storage power station should always meet the requirement of matching the converter's output active power with the power scheduled for dispatch.

[0074]

[0075] in, To maximize the active power output of photovoltaic (PV) units, the PV converter should output power based on the maximum generateable PV power. The reference frequency may differ from the current system frequency. If the droop coefficient of the energy storage converter is not changed, its output power will fluctuate, leading to system power imbalance. Therefore, droop control is typically used to achieve power balancing. However, when adjusting the droop parameters, the inertial power of PV and energy storage will also become imbalanced due to changes in the droop parameters. The collaborative droop control strategy designed in this application addresses the shortcomings of the aforementioned droop control application in PV-energy storage systems. By adjusting the droop coefficient of the energy storage converter according to the inertial power balancing requirements, it rapidly changes its power output, adapting it to the scheduling plan and meeting the system's inertial requirements.

[0076] Based on the droop parameter relationship and the preset droop parameter solution equation based on the Kendall correlation coefficient analysis method, the first droop coefficient of the photovoltaic converter and the second droop coefficient of the energy storage converter of the target photovoltaic-energy storage power station are obtained through calculation. The mathematical expression of the preset droop parameter solution equation is shown in the following formula (3):

[0077] (3)

[0078] in, This represents the proportional parameter of the PI element in the virtual inertia control of the photovoltaic converter. This represents the proportional parameter of the PI element in the virtual inertia control of the energy storage converter. This represents the equivalent time constant of the dual closed-loop control environment of the photovoltaic converter. Let represent the equivalent time constant of the dual closed-loop control environment of the energy storage converter, and D be the equivalent damping of the photovoltaic-energy storage power station. This is based on the calculated first droop parameter of the photovoltaic converter. With the second droop parameter of the energy storage converter Substituting the droop parameter relationship into formula (3) for solution, the first droop coefficient of the photovoltaic converter can be obtained respectively. The values ​​and the second droop coefficient of the energy storage converter The value.

[0079] Step S204: Control the output power of the photovoltaic converter based on the first droop coefficient;

[0080] In the specific implementation process of this step, the first output power of the photovoltaic converter is obtained by calculating based on the first droop coefficient, the rated angular frequency, the first angular frequency of the photovoltaic converter, and the set output power of the photovoltaic converter using the first inertial demand function. The mathematical expression of the first inertial demand function can be shown in the following formula (4):

[0081] (4)

[0082] The first droop coefficient The rated angular frequency The first angular frequency of the photovoltaic converter and the set power output of the photovoltaic converter Substituting into formula (4) and performing calculations, the first output power is obtained. Based on the first output power The output power of the photovoltaic converter is controlled.

[0083] Step S205: Control the output power of the energy storage converter based on the second droop coefficient.

[0084] In the specific implementation process of this step, the second inertial demand function is used to calculate the second output power of the energy storage converter based on the second droop coefficient, the rated angular frequency, the second angular frequency of the energy storage converter, and the set output power of the energy storage converter. The mathematical expression of the second inertial demand function can be shown in the following formula (5):

[0085] (5)

[0086] The second droop coefficient The rated angular frequency The second angular frequency of the energy storage converter and the set power output of the energy storage converter Substituting into formula (5) and performing calculations, the second output power is obtained. Based on the second output power The output power of the energy storage converter is controlled.

[0087] This application integrates the steady-state power distribution and transient inertia support capabilities of a photovoltaic-storage system into a co-designed system. It employs an adaptive droop parameter tuning method, decoupling the droop coefficients of the photovoltaic and energy storage inverters from a fixed value. Instead, the droop coefficients are dynamically adjusted based on the system's real-time operating status and the operational margin of each unit. Under steady-state or quasi-steady-state conditions, the droop parameters ensure that power is distributed among the units according to economic or optimal principles. Once the system detects a frequency mutation, this method immediately triggers a pre-set inertia power distribution logic. Based on the dynamic weights of each unit, the required inertia support power is rapidly and evenly distributed according to the principle of "responsibility sharing." This ensures that the photovoltaic-storage system, as a whole, can provide continuous, reliable inertia support to the grid with characteristics similar to synchronous machines, without impacting equipment.

[0088] Another embodiment of this application provides a photoelectric storage cooperative power control device that considers inertia coordination, such as... Figure 3 As shown, it includes:

[0089] Module 1 is used to acquire the energy storage operation parameters of the target photovoltaic-storage power station for supplying power to the target power grid in response to the target power grid's operating angular frequency being greater than or equal to a first preset threshold of the rated angular frequency.

[0090] Calculation module 2 is used to perform calculations based on the energy storage operating parameters and the rated angular frequency to obtain the first droop coefficient of the photovoltaic converter and the second droop coefficient of the energy storage converter of the target photovoltaic-energy storage power station.

[0091] The first control module 3 is used to control the output power of the photovoltaic converter based on the first droop coefficient;

[0092] The second control module 4 is used to control the output power of the energy storage converter based on the second droop coefficient.

[0093] In the specific implementation process, the calculation module 2 is specifically used to: perform calculation processing based on the energy storage operating parameters and the rated angular frequency to obtain the equalization coefficient; and perform calculation processing based on the equalization coefficient using the Kendall correlation coefficient analysis method to obtain the first droop coefficient of the photovoltaic converter and the second droop coefficient of the energy storage converter of the target photovoltaic-energy storage power station.

[0094] In the specific implementation process, the calculation module 2 is also used to: calculate and process the current energy storage SOC state, rated energy storage SOC state, maximum energy storage SOC state, minimum energy storage SOC state, predetermined state of charge ratio coefficient and rated angular frequency in the energy storage operation parameters to obtain the balance coefficient.

[0095] In the specific implementation process, the calculation module 2 is also used to: calculate the droop parameter relationship between the photovoltaic converter and the energy storage converter based on the balance coefficient, the virtual inertia parameter of the photovoltaic converter, the virtual inertia parameter of the energy storage converter, the active power output of the photovoltaic converter, the set power output of the photovoltaic converter, the scheduling plan power, and the set power output of the energy storage converter using a preset droop parameter relationship, thereby obtaining the droop parameter relationship between the photovoltaic converter and the energy storage converter; and calculate the first droop coefficient of the photovoltaic converter and the second droop coefficient of the energy storage converter of the target photovoltaic-energy storage power station based on the droop parameter relationship and the preset droop parameter solving equation based on the Kendall correlation coefficient analysis method.

[0096] In the specific implementation process, the calculation module 2 is also used to: the mathematical expression of the preset droop parameter relationship is:

[0097]

[0098] in, This indicates the droop parameter of the photovoltaic converter. This indicates the droop parameter of the energy storage converter. This indicates the active power output of the photovoltaic converter. This indicates the set output power of the photovoltaic converter. This indicates the set output power of the energy storage converter. For scheduling planned power, This represents the virtual inertia parameter of the photovoltaic converter. This represents the virtual inertia parameter of the energy storage converter. s This is the equilibrium coefficient;

[0099] The mathematical expression for the equation for solving the preset droop parameter is:

[0100]

[0101] in, This represents the proportional parameter of the PI element in the virtual inertia control of the photovoltaic converter. This represents the proportional parameter of the PI element in the virtual inertia control of the energy storage converter. This represents the equivalent time constant of the dual closed-loop control environment of the photovoltaic converter. denoted by , where represents the equivalent time constant of the dual closed-loop control environment of the energy storage converter, and D is the equivalent damping of the photovoltaic-energy storage power station.

[0102] In specific implementation, the first control module 3 is specifically used to: calculate the first output power of the photovoltaic converter based on the first droop coefficient, the rated angular frequency, the first angular frequency of the photovoltaic converter, and the set output power of the photovoltaic converter using a first inertial demand function; and control the output power of the photovoltaic converter based on the first output power.

[0103] In the specific implementation process, the second control module 4 is specifically used to: calculate and process the second output power of the energy storage converter using the second inertial demand function based on the second droop coefficient, the rated angular frequency, the second angular frequency of the energy storage converter and the set output power of the energy storage converter; and control the output power of the energy storage converter based on the second output power.

[0104] This application integrates the steady-state power distribution and transient inertia support capabilities of a photovoltaic-storage system into a co-designed system. It employs an adaptive droop parameter tuning method, decoupling the droop coefficients of the photovoltaic and energy storage inverters from a fixed value. Instead, the droop coefficients are dynamically adjusted based on the system's real-time operating status and the operational margin of each unit. Under steady-state or quasi-steady-state conditions, the droop parameters ensure that power is distributed among the units according to economic or optimal principles. Once the system detects a frequency mutation, this method immediately triggers a pre-set inertia power distribution logic. Based on the dynamic weights of each unit, the required inertia support power is rapidly and evenly distributed according to the principle of "responsibility sharing." This ensures that the photovoltaic-storage system, as a whole, can provide continuous, reliable inertia support to the grid with characteristics similar to synchronous machines, without impacting equipment.

[0105] Another embodiment of this application provides a storage medium storing a computer program, which, when executed by a processor, implements the following method steps:

[0106] Step 1: In response to the target power grid's operating angular frequency being greater than or equal to a first preset threshold of the rated angular frequency, obtain the energy storage operating parameters of the target photovoltaic-storage power station used to supply power to the target power grid;

[0107] Step 2: Based on the energy storage operating parameters and the rated angular frequency, perform calculations to obtain the first droop coefficient of the photovoltaic converter and the second droop coefficient of the energy storage converter of the target photovoltaic-energy storage power station.

[0108] Step 3: Control the output power of the photovoltaic converter based on the first droop coefficient;

[0109] Step 4: Control the output power of the energy storage converter based on the second droop coefficient.

[0110] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0111] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0112] The specific implementation process of the above method steps can be found in the above embodiment of the optical-storage cooperative power control method that considers inertia coordination. This embodiment will not be repeated here.

[0113] This application integrates the steady-state power distribution and transient inertia support capabilities of a photovoltaic-storage system into a co-designed system. It employs an adaptive droop parameter tuning method, decoupling the droop coefficients of the photovoltaic and energy storage inverters from a fixed value. Instead, the droop coefficients are dynamically adjusted based on the system's real-time operating status and the operational margin of each unit. Under steady-state or quasi-steady-state conditions, the droop parameters ensure that power is distributed among the units according to economic or optimal principles. Once the system detects a frequency mutation, this method immediately triggers a pre-set inertia power distribution logic. Based on the dynamic weights of each unit, the required inertia support power is rapidly and evenly distributed according to the principle of "responsibility sharing." This ensures that the photovoltaic-storage system, as a whole, can provide continuous, reliable inertia support to the grid with characteristics similar to synchronous machines, without impacting equipment.

[0114] Another embodiment of this application provides an electronic device, which can be a server. The electronic device includes a processor, a memory, a network interface, and a database connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile and / or volatile storage media and internal memory. The non-volatile storage media stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface is used to communicate with external clients via a network connection. When the program is executed by the processor, it implements the functions or steps of a server-side optical-storage cooperative power control method considering inertia coordination.

[0115] In one embodiment, an electronic device is provided, which can be a client. The electronic device includes a processor, memory, a network interface, a display screen, and an input device connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The network interface is used to communicate with an external server via a network connection. When the program is executed by the processor, it implements client-side functions or steps of a photoelectric storage coordinated power control method considering inertia coordination.

[0116] Another embodiment of this application provides an electronic device, including at least a memory and a processor. The memory stores a computer program, and the processor, when executing the computer program in the memory, performs the following method steps:

[0117] Step 1: In response to the target power grid's operating angular frequency being greater than or equal to a first preset threshold of the rated angular frequency, obtain the energy storage operating parameters of the target photovoltaic-storage power station used to supply power to the target power grid;

[0118] Step 2: Based on the energy storage operating parameters and the rated angular frequency, perform calculations to obtain the first droop coefficient of the photovoltaic converter and the second droop coefficient of the energy storage converter of the target photovoltaic-energy storage power station.

[0119] Step 3: Control the output power of the photovoltaic converter based on the first droop coefficient;

[0120] Step 4: Control the output power of the energy storage converter based on the second droop coefficient.

[0121] The specific implementation process of the above method steps can be found in the above embodiment of the optical-storage cooperative power control method that considers inertia coordination. This embodiment will not be repeated here.

[0122] This application integrates the steady-state power distribution and transient inertia support capabilities of a photovoltaic-storage system into a co-designed system. It employs an adaptive droop parameter tuning method, decoupling the droop coefficients of the photovoltaic and energy storage inverters from a fixed value. Instead, the droop coefficients are dynamically adjusted based on the system's real-time operating status and the operational margin of each unit. Under steady-state or quasi-steady-state conditions, the droop parameters ensure that power is distributed among the units according to economic or optimal principles. Once the system detects a frequency mutation, this method immediately triggers a pre-set inertia power distribution logic. Based on the dynamic weights of each unit, the required inertia support power is rapidly and evenly distributed according to the principle of "responsibility sharing." This ensures that the photovoltaic-storage system, as a whole, can provide continuous, reliable inertia support to the grid with characteristics similar to synchronous machines, without impacting equipment.

[0123] The above embodiments are merely exemplary embodiments of this application and are not intended to limit this application. The scope of protection of this application is defined by the claims. Those skilled in the art can make various modifications or equivalent substitutions to this application within its substance and scope of protection, and such modifications or equivalent substitutions should also be considered to fall within the scope of protection of this application.

Claims

1. A method for coordinated power control of optical storage considering inertia coordination, characterized in that, include: In response to the target power grid's operating angular frequency being greater than or equal to a first preset threshold of the rated angular frequency, the energy storage operating parameters of the target photovoltaic-storage power station used to supply power to the target power grid are obtained; Based on the energy storage operating parameters and the rated angular frequency, calculations are performed to obtain the first droop coefficient of the photovoltaic converter and the second droop coefficient of the energy storage converter of the target photovoltaic-energy storage power station. The output power of the photovoltaic converter is controlled based on the first droop coefficient; The output power of the energy storage converter is controlled based on the second droop coefficient; The calculation process based on the energy storage operating parameters and the rated angular frequency yields the first droop coefficient of the photovoltaic converter and the second droop coefficient of the energy storage converter in the target photovoltaic-energy storage power station. Specifically, this includes: The equalization coefficient is obtained by calculating based on the energy storage operating parameters and the rated angular frequency. Based on the equilibrium coefficient, the Kendall correlation coefficient analysis method is used to calculate and process the first droop coefficient of the photovoltaic converter and the second droop coefficient of the energy storage converter of the target photovoltaic-storage power station. The calculation process based on the equilibrium coefficient using the Kendall correlation coefficient analysis method yields the first droop coefficient of the photovoltaic converter and the second droop coefficient of the energy storage converter in the target photovoltaic-energy storage power station. Specifically, this includes: Based on the balance coefficient, the virtual inertia parameters of the photovoltaic converter, the virtual inertia parameters of the energy storage converter, the active power output of the photovoltaic converter, the set power output of the photovoltaic converter, the scheduling plan power, and the set power output of the energy storage converter, the droop parameter relationship between the photovoltaic converter and the energy storage converter is calculated using a preset droop parameter relationship formula. The calculations are performed based on the droop parameter relationship and the preset droop parameter solution equation based on the Kendall correlation coefficient analysis method to obtain the first droop coefficient of the photovoltaic converter and the second droop coefficient of the energy storage converter of the target photovoltaic-energy storage power station.

2. The method as described in claim 1, characterized in that, The calculation and processing based on the energy storage operating parameters and the rated angular frequency to obtain the equalization coefficient specifically includes: The equilibrium coefficient is obtained by calculating based on the current energy storage SOC state, rated energy storage SOC state, maximum energy storage SOC state, minimum energy storage SOC state, predetermined state of charge ratio coefficient, and rated angular frequency in the energy storage operation parameters.

3. The method as described in claim 1, characterized in that, The mathematical expression for the preset droop parameter relationship is: in, This indicates the droop parameter of the photovoltaic converter. This indicates the droop parameter of the energy storage converter. This indicates the active power output of the photovoltaic converter. This indicates the set output power of the photovoltaic converter. This indicates the set output power of the energy storage converter. For scheduling planned power, This represents the virtual inertia parameter of the photovoltaic converter. This represents the virtual inertia parameter of the energy storage converter. s This is the equilibrium coefficient; The mathematical expression for the equation for solving the preset droop parameter is: in, This represents the proportional parameter of the PI element in the virtual inertia control of the photovoltaic converter. This represents the proportional parameter of the PI element in the virtual inertia control of the energy storage converter. This represents the equivalent time constant of the dual closed-loop control environment of the photovoltaic converter. denoted by , where represents the equivalent time constant of the dual closed-loop control environment of the energy storage converter, and D is the equivalent damping of the photovoltaic-energy storage power station.

4. The method as described in claim 1, characterized in that, The control of the output power of the photovoltaic converter based on the first droop coefficient specifically includes: The first output power of the photovoltaic converter is obtained by calculating the first output power of the photovoltaic converter based on the first droop coefficient, the rated angular frequency, the first angular frequency of the photovoltaic converter, and the set output power of the photovoltaic converter using the first inertial demand function. The output power of the photovoltaic converter is controlled based on the first output power.

5. The method as described in claim 1, characterized in that, The control of the output power of the energy storage converter based on the second droop coefficient specifically includes: The second output power of the energy storage converter is obtained by calculating the second output power of the energy storage converter based on the second droop coefficient, the rated angular frequency, the second angular frequency of the energy storage converter, and the set output power of the energy storage converter using the second inertial demand function. The output power of the energy storage converter is controlled based on the second output power.

6. A photoelectric-storage cooperative power control device considering inertia coordination, used to implement any one of the photoelectric-storage cooperative power control methods considering inertia coordination as described in claims 1 to 5, characterized in that, include: The acquisition module is used to acquire the energy storage operation parameters of the target photovoltaic-storage power station for supplying power to the target power grid in response to the target power grid's operating angular frequency being greater than or equal to a first preset threshold of the rated angular frequency; The calculation module is used to perform calculations based on the energy storage operating parameters and the rated angular frequency to obtain the first droop coefficient of the photovoltaic converter and the second droop coefficient of the energy storage converter of the target photovoltaic-energy storage power station. The first control module is used to control the output power of the photovoltaic converter based on the first droop coefficient; The second control module is used to control the output power of the energy storage converter based on the second droop coefficient.

7. A storage medium, characterized in that, The storage medium stores a computer program, which, when executed by a processor, implements the steps of the optical-storage coordinated power control method considering inertia coordination as described in any one of claims 1-5.

8. An electronic device, characterized in that, It includes at least a memory and a processor, wherein the memory stores a computer program, and the processor, when executing the computer program in the memory, implements the steps of the optical-storage coordinated power control method considering inertia coordination as described in any one of claims 1-5.

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