Operation control method and device of power system, storage medium and electronic device

Abstract

The invention discloses an operation control method of an electric power system, and the method comprises the steps: obtaining the real-time load and frequency variation of the electric power system, and the environment wind speed of a wind turbine generator of the electric power system; comparing the real-time load with a set standard load to determine a load comparison result, and comparing the frequency variation with a set frequency variation threshold to determine a frequency comparison result; when it is determined that the system load changes based on the load comparison result, it is determined that the frequency variation meets the frequency fluctuation condition based on the frequency comparison result, and the environment wind speed meets the wind speed condition, inertia response processing is conducted on the wind turbine generator; and under the condition that the inertia response processing in the power system is adjusted for a preset time length, controlling the power output of energy storage equipment in the power system so as to adjust the system frequency of the power system. The problem that in the prior art, the power system frequency adjusting capacity is poor is solved.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to an operation control method and device, a storage medium, and an electronic device for an electric power system. Background Art

[0002] As a clean and sustainable form of energy, wind power generation has become one of the important means to address climate change. However, the intermittent and volatile nature of wind energy poses a severe challenge to the frequency stability of the power grid. Frequency is a key indicator of the health of the power grid, which directly affects the stability of the power system and the quality of power. Traditionally, the frequency control of the power grid mainly relies on traditional generators with high inertia, such as thermal power and hydropower, which can respond to load changes by quickly adjusting output power to maintain the frequency within the set range.

[0003] As the capacity of wind power grid connection increases, the proportion of traditional generators in the power system gradually decreases, which leads to a decrease in the overall inertia of the system and a decrease in frequency response capability. Wind turbines, especially those based on permanent magnet synchronous generators (PMSG), are highly efficient and have low maintenance costs, but due to their inherent low inertia characteristics, they cannot provide immediate inertia support when the frequency fluctuates. In addition, the output power regulation capability of wind turbines is limited by wind speed, which is particularly evident under low wind speed conditions, further limiting their ability to participate in power system frequency regulation.

[0004] Therefore, how to improve the frequency regulation capability of the power system to enhance the operational stability of the power system has become a problem that needs to be solved urgently. Summary of the invention

[0005] An embodiment of the present application provides an operation control method for an electric power system to at least solve the problem of frequency fluctuation risk in the electric power system in the related art.

[0006] According to one embodiment of the embodiments of the present application, there is provided an operation control method of an electric power system, comprising: obtaining a real-time load of the electric power system, a frequency change, and an ambient wind speed of a wind turbine of the electric power system; comparing the real-time load with a set standard load to determine a load comparison result, and comparing the frequency change with a set frequency change threshold to determine a frequency comparison result; performing inertia response processing on the wind turbine when it is determined based on the load comparison result that the system load has changed, when it is determined based on the frequency comparison result that the frequency change satisfies a frequency fluctuation condition, and when the ambient wind speed satisfies a wind speed condition; when the duration of the inertia response processing on the wind turbine reaches a preset duration, controlling the power output of the energy storage device in the electric power system to adjust the system frequency of the electric power system.

[0007] In an exemplary embodiment, when it is determined based on the load comparison result that the system load has changed, when it is determined based on the frequency comparison result that the frequency change satisfies the frequency fluctuation condition, and when the ambient wind speed satisfies the wind speed condition, the inertia response processing is performed on the wind turbine, including: when the system load increases, the frequency change is not in a preset frequency range, and the ambient wind speed reaches a set wind speed threshold, obtaining a first control parameter, a frequency change rate, and a maximum output power of the wind turbine; determining a reference output power of the wind turbine based on the first control parameter, the frequency change rate, and the maximum output power of the wind turbine; and adjusting the rotor speed of the wind turbine according to the reference output power.

[0008] In an exemplary embodiment, when the duration of inertia response processing on the wind turbine reaches a preset duration, controlling the power output of the energy storage device in the power system includes: when the duration of inertia response processing on the wind turbine reaches a preset duration and the system load increases, determining a second control parameter, the maximum output power of the wind turbine, and a preset support power; determining a first energy storage reference power of the energy storage device based on the second control parameter, the maximum output power of the wind turbine, and the preset support power; and controlling the energy storage device to discharge according to the first energy storage reference power.

[0009] In an exemplary embodiment, determining the second control parameter includes: obtaining the remaining power of the energy storage device; comparing the remaining power with a set remaining power threshold to obtain a comparison result, and determining the second control parameter according to the comparison result.

[0010] In an exemplary embodiment, the remaining power threshold includes a first remaining power threshold and a second remaining power threshold; wherein the first remaining power threshold is less than the second remaining power threshold; the remaining power is compared with the set remaining power threshold to obtain a comparison result, and the second control parameter is determined according to the comparison result, including: when the remaining power is greater than 0 and less than or equal to the first remaining power threshold, determining the value of the second control parameter to be 0; when the remaining power is greater than the first remaining power threshold and less than or equal to the second remaining power threshold, determining the second control parameter based on the remaining power, the second remaining power threshold and a preset maximum discharge rate; when the remaining power is greater than the second remaining power threshold and less than or equal to 1, determining the preset maximum discharge rate as the second control parameter.

[0011] In an exemplary embodiment, when the duration of inertia response processing on the wind turbine reaches a preset duration, the power output of the energy storage device in the power system is controlled, including: when the duration of inertia response processing on the wind turbine reaches a preset duration and the system load is reduced, determining a third control parameter and a maximum output power of the wind turbine; determining a second energy storage reference power of the energy storage device based on the third control parameter and the maximum output power of the wind turbine; and controlling the energy storage device to charge according to the second energy storage reference power.

[0012] In an exemplary embodiment, determining the third control parameter includes: obtaining the remaining power of the energy storage device; when the remaining power is greater than 0 and less than or equal to the third remaining power threshold, determining the third control parameter based on a preset maximum discharge rate; when the remaining power is greater than the fourth remaining power threshold and less than or equal to the fifth remaining power threshold, determining the third control parameter based on the remaining power, the fourth remaining power threshold, the fifth remaining power threshold and a preset maximum discharge rate; when the remaining power is greater than the fifth remaining power threshold and less than or equal to 1, determining that the value of the third control parameter is 0.

[0013] According to another embodiment of the embodiment of the present application, there is also provided an operation control device of an electric power system, including: an acquisition module, used to acquire the real-time load and frequency change of the electric power system, and the ambient wind speed of the wind turbine of the electric power system; a comparison module, used to compare the real-time load with a set standard load to determine a load comparison result, and to compare the frequency change with a set frequency change threshold to determine a frequency comparison result; a processing module, used to perform inertia response processing on the wind turbine when it is determined based on the load comparison result that the system load has changed, when it is determined based on the frequency comparison result that the frequency change satisfies the frequency fluctuation condition, and when the ambient wind speed satisfies the wind speed condition; the processing module is also used to control the power output of the energy storage device in the electric power system when the duration of the inertia response processing of the wind turbine reaches a preset duration, so as to adjust the system frequency of the electric power system.

[0014] According to another aspect of the embodiments of the present application, a computer-readable storage medium is provided, in which a computer program is stored, wherein the computer program is configured to execute the above method when running.

[0015] According to another aspect of the embodiments of the present application, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the method through the computer program.

[0016] According to another aspect of the embodiments of the present application, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0017] In an embodiment of the present application, by acquiring the load changes and frequency fluctuations of the power system in real time, it is possible to quickly respond to slight changes in the frequency of the power grid. By comparing the real-time load with the standard load, and comparing the frequency change with the preset threshold, the inertia response of the wind turbine can be triggered in time. This rapid response mechanism based on real-time data significantly improves the speed and accuracy of frequency regulation, reduces the impact of frequency fluctuations on the power system, and improves the quality of electric energy. When the load changes and the ambient wind speed permits, the power system will give priority to inertia response and use its rotor kinetic energy to release energy. When the inertia response processing reaches the preset time, the energy storage device will take over the wind turbine and adaptively adjust the charging and discharging power to prevent the frequency from dropping. This collaborative working mode not only makes full use of the instantaneous kinetic energy of the wind turbine, but also takes advantage of the rapid response of the energy storage device, improves the overall frequency regulation capability of the power system, and avoids the instability of the power system caused by frequency fluctuations. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0019] Figure 1 It is a hardware structure block diagram of a computer terminal of an operation control method of an electric power system according to an embodiment of the present application;

[0020] Figure 2 is a flow chart of an operation control method of a power system according to an embodiment of the present application;

[0021] Figure 3 is a structural block diagram of a wind turbine energy storage system according to an embodiment of the present application;

[0022] Figure 4 is a control flow block diagram of a motor-side converter according to an embodiment of the present application;

[0023] Figure 5 is a structural block diagram of an energy storage device according to an embodiment of the present application;

[0024] Figure 6is a flowchart of an operation control method of a power system according to an embodiment of the present application;

[0025] Figure 7 It is a structural block diagram of an operation control device of an electric power system according to an embodiment of the present application. DETAILED DESCRIPTION

[0026] In order to enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this application.

[0027] It should be noted that the terms "first", "second", etc. in the specification and claims 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 interchanged 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 variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices; "plurality" means two or more.

[0028] The method embodiments provided in the embodiments of the present application can be executed in a computer terminal or similar computing device or cloud platform or independent physical server or software platform, wherein the above software platform is run through one or more servers. Taking running on a computer terminal as an example, Figure 1 1 is a hardware structure block diagram of an operation control method of a power system according to an embodiment of the present application. Figure 1 As shown, the computer terminal may include one or more ( Figure 1 Only one is shown in the figure) processor 102 and memory 104 for storing data. In an exemplary embodiment, the computer terminal may also include a transmission device 106 for communication functions and an input and output device 108, wherein the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA. A person skilled in the art can understand that Figure 1 The structure shown is only for illustration and does not limit the structure of the above-mentioned computer terminal. Figure 1More or fewer components as shown, or with Figure 1 Equivalent functions or comparisons shown Figure 1 A different configuration with more features is shown.

[0029] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as computer programs corresponding to the methods in the embodiments of the present application. The processor 102 executes various functional applications and data processing by running the computer programs stored in the memory 104, that is, the above-mentioned methods are implemented. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the computer terminal 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.

[0030] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of a computer terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0031] In this embodiment, a method for controlling operation of a power system is provided, which is applied to the above-mentioned computer device. Figure 2 is a flow chart of an operation control method of a power system according to an embodiment of the present application, the flow chart comprising the following steps:

[0032] Step S202, obtaining the real-time load and frequency change of the power system, and the ambient wind speed of the wind turbines of the power system;

[0033] It should be noted that the acquisition of real-time load is achieved through intelligent instruments, sensors or SCADA (Supervisory Control and Data Acquisition) and other equipment installed in the power system. By analyzing the real-time load, it is determined whether the load exceeds the normal range or whether there is a sudden change in load, which provides a basis for subsequent frequency regulation control.

[0034] The acquisition of frequency variation mainly depends on frequency monitoring equipment in the power system, such as frequency transmitters, synchronous phasor measurement units (PMUs), etc. These devices can accurately measure the frequency of the power grid, compare the frequency data with the standard frequency (usually 50Hz or 60Hz), and calculate the frequency deviation. In modern power systems, the monitoring of frequency variation is usually high-precision and high-frequency, and can reach a sampling rate of multiple times per second to capture small changes in the power grid frequency. The frequency variation data obtained from the monitoring will be used to determine whether the power grid is in a state of frequency fluctuation and the severity of the frequency fluctuation, so as to decide whether to start the frequency control strategy.

[0035] Ambient wind speed is one of the key parameters for the operation of wind turbines, which directly affects the output power and operating status of wind turbines. The acquisition of wind speed is usually achieved through wind speed measurement sensors (such as anemometers, ultrasonic anemometers, etc.) installed in wind farms. These sensors can monitor wind speed in real time and provide accurate wind speed data. The collection and processing of wind speed data is crucial for the control of wind turbines, especially in maximum power point tracking (MPPT) and frequency response control. Wind speed data will be used to determine whether the wind turbine is in a high wind speed stage that can provide inertia response, and whether it is necessary to control the output power of the wind turbine by adjusting the pitch angle and other measures. Based on the wind speed measurement data, combined with the real-time load and frequency changes, the system control center comprehensively decides the operation mode of the wind turbine and the energy storage system to achieve the optimal grid-connected frequency response control.

[0036] The acquisition of real-time load, frequency change and ambient wind speed of wind turbines is the basis for the implementation of the coordinated control method of wind power and energy storage. They provide the system with key operating status information, enabling the control strategy to be intelligently adjusted according to the actual needs of the power grid and the current conditions of the wind turbines, thereby achieving more efficient and stable frequency response control.

[0037] Step S204, comparing the real-time load with a set standard load to determine a load comparison result, and comparing the frequency change with a set frequency change threshold to determine a frequency comparison result;

[0038] Step S206, when it is determined based on the load comparison result that the system load has changed, when it is determined based on the frequency comparison result that the frequency change amount meets the frequency fluctuation condition, and when the ambient wind speed meets the wind speed condition, performing inertia response processing on the wind turbine set;

[0039] Step S208, when the duration of the inertia response processing of the wind turbine generator set reaches a preset duration, controlling the power output of the energy storage device in the power system to adjust the system frequency of the power system.

[0040] The above steps S202-S208 can quickly respond to slight changes in the grid frequency by acquiring the load changes and frequency fluctuations of the power system in real time. By comparing the real-time load with the standard load and the frequency change with the preset threshold, the inertia response of the wind turbine can be triggered in time. This rapid response mechanism based on real-time data significantly improves the speed and accuracy of frequency regulation, reduces the impact of frequency fluctuations on the power system, and improves the quality of electric energy. When the load changes and the ambient wind speed permits, the power system will give priority to inertia response and use its rotor kinetic energy to release energy. When the inertia response processing reaches the preset time, the energy storage device will take over the wind turbine and adaptively adjust the charging and discharging power to prevent frequency drops. This collaborative working mode not only makes full use of the instantaneous kinetic energy of the wind turbine, but also takes advantage of the rapid response of the energy storage device, improves the overall frequency regulation capability of the power system, and avoids the instability of the power system caused by frequency fluctuations.

[0041] In an exemplary embodiment, when it is determined based on the load comparison result that the system load has changed, when it is determined based on the frequency comparison result that the frequency change satisfies the frequency fluctuation condition, and when the ambient wind speed satisfies the wind speed condition, the inertia response processing is performed on the wind turbine, including: when the system load increases, the frequency change is not in a preset frequency range, and the ambient wind speed reaches a set wind speed threshold, obtaining a first control parameter, a frequency change rate, and a maximum output power of the wind turbine; determining a reference output power of the wind turbine based on the first control parameter, the frequency change rate, and the maximum output power of the wind turbine; and adjusting the rotor speed of the wind turbine according to the reference output power.

[0042] Specifically, in the power system, in order to effectively respond to load changes and frequency fluctuations, the frequency control strategy of wind turbines is particularly critical. First, the load data collected in real time is compared with the preset standard load or historical load trend. If the real-time load is significantly higher than the standard load, this indicates that the system load is increasing and additional power may be required to maintain the stable operation of the power grid. And the real-time frequency of the power grid is monitored and compared with the rated frequency (50Hz or 60Hz) to determine the frequency change. If the frequency change exceeds the preset frequency range, for example, the frequency change drops below 0.033Hz, this is considered a frequency fluctuation condition, indicating that the power grid may require an emergency frequency response.

[0043] The inertia response effect of wind turbines is directly affected by the ambient wind speed. When the ambient wind speed reaches or exceeds the set high wind speed threshold (e.g. 11m / s), the wind turbine has sufficient wind energy input and can release the stored kinetic energy by reducing the speed, thereby providing additional active power support to the grid. At this point, the wind turbine is qualified to participate in the system inertia response.

[0044] Specifically, when it is determined that the load of the power system increases, the frequency fluctuates, and the ambient wind speed reaches the set wind speed threshold, the first control parameter (for example, virtual inertia coefficient), the frequency change rate, and the maximum possible output power of the wind turbine under the current wind speed conditions are obtained. These parameters are the core inputs of the inertia response control strategy. Based on the first control parameter, the frequency change rate and the maximum output power, the reference output power of the wind turbine is calculated. This process usually includes adjusting the rotor speed of the wind turbine so that its output power can meet the current grid demand without exceeding its maximum power limit.

[0045] In some embodiments, based on the calculated reference output power, the control unit of the wind turbine will adjust the rotor speed to reduce it to release the rotor kinetic energy. This kinetic energy release is converted into active power and injected into the grid to quickly respond to frequency fluctuations and support grid frequency stability. Typically, this inertia response will last for 5 to 10 seconds, depending on the specific design of the system and the characteristics of the wind turbine.

[0046] In the above embodiment, the wind turbine generator set can quickly change its operating state when the power system frequency requires an emergency response, provide instant power support to the power grid, and thus enhance the frequency stability and reliability of the power grid. At the same time, since this process is only started under high wind speed conditions, it avoids the ineffective call of the wind turbine generator set when the wind speed is insufficient, ensuring the efficient operation of the wind turbine generator set and the rational use of resources.

[0047] In an exemplary embodiment, when the duration of inertia response processing on the wind turbine reaches a preset duration, controlling the power output of the energy storage device in the power system includes: when the duration of inertia response processing on the wind turbine reaches a preset duration and the system load increases, determining a second control parameter, the maximum output power of the wind turbine, and a preset support power; determining a first energy storage reference power of the energy storage device based on the second control parameter, the maximum output power of the wind turbine, and the preset support power; and controlling the energy storage device to discharge according to the first energy storage reference power.

[0048] Specifically, after the inertia response ends, the discharge strategy of the energy storage device can be evaluated to ensure the stability of the grid frequency. In this step, the second control parameter (such as the droop control coefficient) will be determined, which is used to adjust the discharge rate of the energy storage device to match the frequency requirement. At the same time, the maximum output power of the wind turbine is also required, which is the maximum active power that the wind turbine can provide under the current wind speed conditions. The preset support power is the amount of power that needs to be provided by the energy storage device in addition to maintain frequency stability when the grid load increases.

[0049] Based on the above parameters, the first energy storage reference power of the energy storage device can be calculated, which is the power target that the energy storage device needs to meet in the discharge mode. The calculation formula can include the difference between the output power of the wind turbine and the load demand, plus the preset support power, and then adjust it according to the second control parameter. This reference power is a comprehensive evaluation result of the system based on the current frequency change rate, the power output capacity of the wind turbine, and the system load change.

[0050] After the first energy storage reference power is determined, a discharge instruction can be issued to the energy storage device, requiring the energy storage device to discharge according to this determined power target. The discharge instruction will be sent to the control unit of the BESS, which will adjust the output power of the bidirectional DC / DC converter to ensure that the discharge power matches the first energy storage reference power. The discharge process will be adaptively controlled according to the SOC state of the energy storage device to avoid the situation where the SOC is too low or too high, protect the health of the battery, and extend its service life.

[0051] In the above embodiments, the coordinated control between the energy storage device and the wind turbine is one of the key technologies for achieving high-proportion renewable energy grid-connected operation, and is of great significance for promoting the intelligence of the power grid and improving the frequency response capability of the power system.

[0052] In an exemplary embodiment, determining the second control parameter includes: obtaining the remaining power of the energy storage device; comparing the remaining power with a set remaining power threshold to obtain a comparison result, and determining the second control parameter according to the comparison result.

[0053] Specifically, the remaining power of the energy storage device is obtained, and this value is usually expressed in terms of the battery state of charge (SOC). SOC is a percentage value that reflects the ratio of the current battery power to the total capacity. For example, when the SOC is 80%, it means that the battery currently stores 80% of its total capacity. The current SOC value is compared with the preset SOC threshold. These thresholds are designed to guide the charging and discharging behavior of the energy storage device to ensure that it can support grid frequency regulation in a long-term and stable manner. The preset SOC thresholds may include SOC_low, SOC_high, etc., which represent the limits of low power and high power, respectively. For example, SOC_low may be set to 30%, and SOC_high to 80%. After comparing the SOC with the SOC threshold, a second control parameter will be determined based on the comparison result, which usually refers to a droop control coefficient or a similar control parameter.

[0054] In an exemplary embodiment, the remaining power threshold includes a first remaining power threshold and a second remaining power threshold; wherein the first remaining power threshold is less than the second remaining power threshold; the remaining power is compared with the set remaining power threshold to obtain a comparison result, and the second control parameter is determined according to the comparison result, including: when the remaining power is greater than 0 and less than or equal to the first remaining power threshold, determining the value of the second control parameter to be 0; when the remaining power is greater than the first remaining power threshold and less than or equal to the second remaining power threshold, determining the second control parameter based on the remaining power, the second remaining power threshold and a preset maximum discharge rate; when the remaining power is greater than the second remaining power threshold and less than or equal to 1, determining the preset maximum discharge rate as the second control parameter.

[0055] It is understandable that in the coordinated control of wind power and energy storage, when the remaining power is greater than 0 and less than or equal to the first remaining power threshold, this means that the power of the energy storage device is lower than the lower limit of the normal operating range and may not be sufficient to provide an effective frequency response. In this case, the value of the second control parameter will be determined to be 0. This means that the energy storage device will not be required to participate in the discharge to avoid further reduction of the SOC to a level that may damage the health or function of the battery. At this point, grid frequency regulation may rely entirely on wind turbines or other power sources.

[0056] When the remaining power SOC is greater than the first remaining power threshold and less than or equal to the second remaining power threshold, the power of the energy storage device is in an appropriate range and can participate in frequency regulation. When the remaining power is greater than the second remaining power threshold and less than or equal to 1, it means that the power of the energy storage device has reached or is close to its maximum capacity. At this time, the second control parameter is set to the preset maximum discharge rate. This means that the energy storage device will discharge at its maximum capacity to support the stability of the grid frequency while keeping the SOC from being excessively reduced to avoid energy waste or potential damage to the battery.

[0057] In the above embodiment, by determining the second control parameter based on SOC and two levels of remaining power threshold, the charging and discharging behavior of the energy storage device can be managed intelligently, which not only fully utilizes the rapid response capability of BESS, but also protects the health of the battery and avoids shortening the battery life due to excessive charging and discharging.

[0058] In an exemplary embodiment, when the duration of inertia response processing on the wind turbine reaches a preset duration, the power output of the energy storage device in the power system is controlled, including: when the duration of inertia response processing on the wind turbine reaches a preset duration and the system load is reduced, determining a third control parameter and a maximum output power of the wind turbine; determining a second energy storage reference power of the energy storage device based on the third control parameter and the maximum output power of the wind turbine; and controlling the energy storage device to charge according to the second energy storage reference power.

[0059] It should be noted that when the inertia response of the wind turbine ends, it is necessary to evaluate the current load reduction and whether the grid frequency exceeds the normal range. If the load is confirmed to be reduced and the frequency change exceeds the frequency regulation dead zone (such as 0.033Hz), it is necessary to adjust the operating status of the wind turbine and the energy storage device. At this time, the maximum output power of the wind turbine will be determined based on the current operating environment of the wind turbine, such as the ambient wind speed. At the same time, the third control parameter needs to be determined. This parameter is used to control the charging behavior of the energy storage device to ensure that when the grid frequency rises, the energy storage device can be charged at an appropriate speed to balance the system power, while also taking into account the remaining power (SOC) of the energy storage device and its charging and discharging health status. Further, the second energy storage reference power of the energy storage device is calculated to guide the charging process of the energy storage device. The calculation of this reference power is usually based on the current SOC state of the energy storage device and the need for grid frequency changes.

[0060] In the above embodiments, when the load is reduced and the frequency is increased, the power output of the wind turbine and the energy storage device can be coordinated to ensure the stability of the grid frequency, while optimizing the charging and discharging strategy of the energy storage device to maintain its SOC state within a healthy range.

[0061] In an exemplary embodiment, determining the third control parameter includes: obtaining the remaining power of the energy storage device; when the remaining power is greater than 0 and less than or equal to the third remaining power threshold, determining the third control parameter based on a preset maximum discharge rate; when the remaining power is greater than the fourth remaining power threshold and less than or equal to the fifth remaining power threshold, determining the third control parameter based on the remaining power, the fourth remaining power threshold, the fifth remaining power threshold and a preset maximum discharge rate; when the remaining power is greater than the fifth remaining power threshold and less than or equal to 1, determining that the value of the third control parameter is 0.

[0062] It is understandable that the third remaining power threshold is a lower value set, such as 20%, which defines at what SOC level the energy storage device needs to be charged at the maximum rate. If the current SOC is lower than or equal to the third remaining power threshold, this means that the energy storage device is low in power and needs to be charged quickly to restore its energy storage capacity. At this time, the third control parameter is set to the negative value of the preset maximum discharge rate (here refers to the absolute value of the maximum charging rate) to instruct the energy storage device to charge at the maximum charging rate.

[0063] The fourth remaining power threshold and the fifth remaining power threshold define the medium and high levels of SOC, respectively, for example, the fourth remaining power threshold is 50% and the fifth remaining power threshold is 80%. When the SOC is between the fourth remaining power threshold and the fifth remaining power threshold, the value of the third control parameter will be adjusted according to the relationship between the SOC and the two thresholds. When the SOC has exceeded or reached the five remaining power thresholds, it means that the power of the energy storage device has approached or reached its maximum capacity. At this time, it is determined that the third control parameter is set to 0, which means that the energy storage device will not be required to continue charging to avoid overcharging and ensure the life and safety of the battery.

[0064] In the above embodiment, the third control parameter can be dynamically adjusted according to the current SOC state of the energy storage device, thereby effectively guiding the charging behavior of the energy storage device. This SOC-based adaptive control strategy ensures that the power system can quickly adjust the system power balance and maintain the stability of the grid frequency through the synergy of wind turbines and energy storage devices when the load is reduced. At the same time, the long-term health and safety of the energy storage device are also taken into consideration, overcharging and discharging are avoided, and the service life of the battery is extended.

[0065] It is understandable that in order to better understand the process of the operation control method of the above-mentioned power system, the operation control method of the above-mentioned power system is described below in combination with an optional embodiment, but it is not used to limit the technical solution of the embodiment of the present application.

[0066] The operation control method of the wind turbine energy storage system of the present application is implemented based on the wind turbine energy storage system. Figure 3 As shown in Figure 1, the wind turbine energy storage system includes a wind turbine, a permanent magnet synchronous generator (PMSG), a machine-side converter, and an energy storage converter (i.e. Figure 3 The energy storage bidirectional DC converter in the wind turbine) and the energy storage device (BESS), and also include a grid-side converter (the grid-side converter function is not considered during island operation). Among them, one end of the wind turbine is connected to one end of the permanent magnet synchronous generator, the other end of the permanent magnet synchronous generator is connected to one end of the machine-side converter, the other end of the machine-side converter is connected to one end of the energy storage converter, and the other end of the energy storage converter is connected to one end of the energy storage device. Figure 3 In the process, both the software and hardware equipment of the wind turbine need to be modified. The energy storage device of a single wind turbine has a smaller capacity, occupies less space, has a longer service life, and is easy to install inside the unit. The output of the energy storage converter is directly connected to the DC bus of the converter, with a dual system integrated design, fewer system components, low manufacturing cost and high efficiency.

[0067] For a wind turbine, the aerodynamic characteristics of the wind turbine show that the mechanical output power of the wind turbine is:

[0068]

[0069] Where ρ is the air density, R is the radius of the wind wheel, v is the wind speed, and C p is the wind energy utilization coefficient, is the tip speed ratio, θ is the pitch angle. Wind energy utilization coefficient C p is a function of λ and θ. The tip speed ratio λ is ω r is the wind turbine rotor speed. Bates theory proves that the upper limit of wind energy utilization coefficient is 0.593. When the pitch angle remains unchanged, as long as the optimal blade tip speed ratio is kept unchanged according to the wind turbine speed, C can be maintained. p =C p,max , at this time the wind turbine obtains maximum wind energy.

[0070] For PMSG, in synchronous rotating coordinates, the voltage equation of the permanent magnetic synchronous generator (PMSG) is:

[0071]

[0072] The magnetic flux equation is:

[0073]

[0074] The torque equation is:

[0075]

[0076] In the formula, u sd 、u sq is the motor d and q axis output voltage, i sd 、i sq is the d and q axis armature current, L d , L q is the d-axis and q-axis inductance of the stator winding, is the d-axis and q-axis magnetic flux, ω e is the point angular frequency, is the permanent magnet flux.

[0077] For wind power converters, the functions of the generator-side converter are: 1) rectifying the alternating current with varying frequency and voltage amplitude emitted by the permanent magnet synchronous generator into direct current; 2) controlling the speed of the wind turbine to achieve maximum wind energy capture; 3) controlling the reactive exchange with the permanent magnet synchronous generator.

[0078] The control flow diagram of the motor side converter is as follows: Figure 4 As shown, it includes collecting grid current, dq transformation, and multiple PI controllers. By collecting grid current, dq transformation is performed on the d axis and q axis respectively. The dq transformation is used to convert the three-phase AC input into a DC signal to obtain ω e L d , which is convenient for subsequent control. And the fan rotor speed ω r , and the fan rotor reference speed ω ref Input to the PI controller to get u sd and u sq . Finally, the difference between the actual active power output of the generator and the reference active power output of the generator is compared. The reference value of the q-axis current can be obtained through the PI controller. The d-axis is used to control the operating state of the generator, and the control method of id=0 can be used. Including generator speed, grid current, reference signal, etc.

[0079] BESS energy storage system has the characteristics of fast response and flexible configuration of power and battery capacity. Compared with other batteries, lithium batteries have higher energy density, better energy storage capacity, more cycles, and more environmentally friendly materials. Therefore, it has become the first choice for energy storage system research. Its PNGV equivalent circuit is as follows Figure 5 As shown:

[0080] Figure 5In the figure, R0 represents the equivalent loss resistance, U0 is the voltage of the equivalent loss resistance, R1 is the polarization effective resistance of the battery, and C1 is the capacitor. Uoc is the battery electromotive force, U is the voltage value of the lithium battery output terminal, and I is the discharge current value of the lithium battery. Lithium battery energy storage is electrochemical energy storage, which is applied to the DC side through a bidirectional DC-DC converter. The DC / DC bidirectional converter is the key to the bidirectional flow of electric energy in the BESS system. The charge and discharge control of the energy storage battery adopts the voltage and current loop closed-loop control technology, and PI regulators are used. The main goal of the voltage loop is to achieve real-time control of the voltage value, track the reference value as much as possible, and achieve constant voltage control. The main goal of the current loop is to achieve real-time control of the current value, reduce the fluctuation of the actual current value, and enhance the dynamic response capability of the system.

[0081] When connected to the grid, wind turbines and energy storage participate in the inertia support and primary frequency regulation process of frequency regulation. The virtual inertia control strategy uses the characteristics of the wide range of rotor speed variation and large rotor kinetic energy of wind turbines to release or absorb rotor kinetic energy by changing the rotor speed when the system frequency fluctuates, so that the wind turbine provides active support to the system, which lasts for about 5 to 10 seconds. Primary frequency regulation is a manifestation of the active-droop characteristic. When the system power is surplus and the frequency increases, the wind turbines and energy storage batteries with primary frequency regulation function reduce active output to suppress the frequency increase; if the system has a power shortage and the frequency decreases, the wind turbines and energy storage batteries increase active output to prevent the frequency from falling. In the power system, the system frequency deviation of 0.033Hz is generally used as the frequency regulation dead zone. When the frequency deviation is less than the frequency regulation dead zone, the primary frequency regulation function of the unit is not started.

[0082] refer to Figure 6 As shown in FIG. 1 , it is a flowchart of the operation control of the power system during the operation of the power system. Figure 6 It can be seen that f represents the real-time measured grid frequency, f N represents the standard frequency, △f represents the frequency change, Indicates the frequency change rate. During the control process, when the load suddenly decreases, the control parameter value K W1 =0, when the load suddenly increases, parameter K W2 = 0. The input is the rotor speed of the generator ω r , and then get P MPPT , that is, power data.

[0083] In the control process, when the power grid is in a state of frequency fluctuation and the wind turbine is operating in the low wind speed stage, K W2 = 0, when it is impossible to provide active power by reducing the speed, the wind turbine will not act and will not participate in frequency modulation; when the power grid is in a state of frequency fluctuation and the wind turbine is operating in the high wind speed stage, based on K W1 , participating in frequency regulation through inertia response.

[0084] When the load suddenly increases, the frequency decreases and the deviation is greater than 0.033Hz, but the wind turbine is operating in a lower wind speed area and cannot provide active power by reducing the speed, the wind turbine will not move and will not participate in frequency modulation. Only the energy storage battery, that is, the energy storage device, will participate in frequency modulation by adaptively discharging according to the charge state. When the load suddenly increases, the frequency decreases and the deviation is greater than 0.033Hz, if the wind turbine is operating in a higher wind speed area, it can provide active power by reducing the speed, and the wind turbine and the energy storage device will cooperate to control and participate in frequency modulation. The wind turbine first performs an inertia response for 5 to 10 seconds to determine P W _ref, that is, the reference power of the wind turbine, controls the rotor speed of the wind turbine, and then exits the inertia response to start the recovery of the rotor speed. The energy storage battery compensates for the power drop during the speed recovery process and discharges adaptively according to the charge state, thereby suppressing the secondary frequency drop. In the process of sudden load increase, K S2 , and the support power determined by the power support during the speed recovery phase, determine P S _ref, i.e., the first energy storage reference power. Then, the power output of the energy storage device is adjusted based on the first energy storage reference power.

[0085] When the load suddenly decreases, the frequency increases and the deviation is greater than 0.033Hz, the energy storage battery will first adaptively charge according to the charge state to participate in frequency modulation; when the load suddenly decreases, the frequency increases and the deviation is greater than 0.033Hz, the energy storage battery is fully charged and cannot be charged. If the wind turbine is at a lower wind speed, it can balance the power surplus of the system by increasing the rotor speed and absorbing the rotor kinetic energy. At the same time, it can also reduce the output power of the wind turbine by controlling the pitch angle and reducing the wind energy utilization coefficient. During the load reduction process, it can be determined that K S1 , can be obtained by K S1 , determine P S _ref, i.e., the second energy storage reference power, and then the power output of the energy storage device is adjusted based on the second energy storage reference power.

[0086] In determining K S1 and K S2 When the energy storage SOC value is set to 4 critical points, they are SOC min , SOC low , SOC high , SOC max When SOC is in different states, parameters need to be adjusted according to the charging and discharging mode to form an adaptive control method for energy storage charging and discharging.

[0087] When the battery is charging, if SOC∈(0,SOC min ], the battery power is seriously insufficient, the third control parameter is:

[0088] K S1 =-K S，max

[0089] Among them, K S1 is the calculated third control parameter, K s,max is the set maximum discharge rate.

[0090] If SOC∈(SOC high ,SOC max ], in order to ensure the frequency modulation effect and battery SOC balance, the parameters are adjusted as follows:

[0091]

[0092] If SOC∈(SOC max ,1], at this time the battery is charged to the limit state and charging stops, that is:

[0093] K S1 =0

[0094] When the battery is discharged, if SOC∈(SOC low ,1], the battery is sufficient, calculate the second control parameter:

[0095] K S2 =K S，max

[0096] Among them, K S2 is the calculated second control parameter, K s,max is the set maximum discharge rate.

[0097] If SOC∈(SOC min ,SOC low ], in order to ensure the frequency modulation effect and battery SOC balance, the parameters are adjusted as follows:

[0098]

[0099] If SOC∈(0,SOC min ], at this time the battery is discharged to the limit state and stops discharging, that is:

[0100] K S2 =0

[0101] In summary, the load of the power system does not change, the frequency does not fluctuate, and there is no need to adjust the working state of the wind storage. When the load changes, if the wind turbine is operating in a higher wind speed stage, it can first perform inertia response control to quickly adjust the system frequency; if the unit is operating in a lower wind speed stage and is not enough to provide rotor kinetic energy that can respond to inertia, the unit's operating state remains unchanged, and the system frequency can only be regulated by a frequency modulation process; when the frequency change exceeds the dead zone range, a frequency modulation is triggered. When the load increases and the frequency decreases, the discharge state of the energy storage battery is adaptively regulated according to the charge of the energy storage battery; when the wind turbine unit withdraws the inertia response, PI control is used to make the energy storage provide more power to prevent the frequency from falling again. When the load decreases and the frequency increases, the charging state of the energy storage battery is adaptively regulated according to the charge of the energy storage battery. After the energy storage is charged, if the wind turbine is operating in a higher wind speed area, the pitch angle is controlled to limit the power of the wind turbine; if the wind turbine is operating in a lower wind speed area and cannot be operated with limited power, the wind turbine action is not changed.

[0102] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods of each embodiment of the present application.

[0103] The present application also provides a structural block diagram of an operation control device for a power system. Figure 7 is a structural block diagram of a weather forecasting device according to an embodiment of the present application; Figure 7 As shown, including:

[0104] An acquisition module 72 is used to acquire the real-time load and frequency variation of the power system and the ambient wind speed of the wind turbine generator set of the power system;

[0105] The comparison module 74 is used to compare the real-time load with the set standard load to determine the load comparison result, and to compare the frequency change with the set frequency change threshold to determine the frequency comparison result;

[0106] A processing module 76, configured to perform inertia response processing on the wind turbine generator set when it is determined based on the load comparison result that the system load has changed, when it is determined based on the frequency comparison result that the frequency change amount meets the frequency fluctuation condition, and when the ambient wind speed meets the wind speed condition;

[0107] The processing module 76 is further configured to control the power output of the energy storage device in the power system to adjust the system frequency of the power system when the duration of the inertia response processing of the wind turbine generator set reaches a preset duration.

[0108] Through the above device, by obtaining the load changes and frequency fluctuations of the power system in real time, it is possible to quickly respond to slight changes in the grid frequency. By comparing the real-time load with the standard load, and comparing the frequency change with the preset threshold, the inertia response of the wind turbine can be triggered in time. This rapid response mechanism based on real-time data significantly improves the speed and accuracy of frequency regulation, reduces the impact of frequency fluctuations on the power system, and improves the quality of power. When the load changes and the ambient wind speed allows, the power system will give priority to inertia response and use its rotor kinetic energy to release energy. When the inertia response processing reaches the preset time, the energy storage device will take over the wind turbine and adaptively adjust the charging and discharging power to prevent frequency drops. This collaborative working mode not only makes full use of the instantaneous kinetic energy of the wind turbine, but also takes advantage of the rapid response of the energy storage device, improves the overall frequency regulation capability of the power system, and avoids the instability of the power system caused by frequency fluctuations.

[0109] In an exemplary embodiment, the processing module 76 is also used to obtain a first control parameter, a frequency change rate and a maximum output power of the wind turbine when the system load increases, the frequency change is not within a preset frequency range, and the ambient wind speed reaches a set wind speed threshold; determine a reference output power of the wind turbine based on the first control parameter, the frequency change rate and the maximum output power of the wind turbine; and adjust the rotor speed of the wind turbine according to the reference output power.

[0110] In an exemplary embodiment, the processing module 76 is further used to determine a second control parameter, a maximum output power of the wind turbine set, and a preset support power when the duration of inertia response processing of the wind turbine set reaches a preset duration and the system load increases; determine a first energy storage reference power of the energy storage device based on the second control parameter, the maximum output power of the wind turbine set, and the preset support power; and control the energy storage device to discharge according to the first energy storage reference power.

[0111] In an exemplary embodiment, the processing module 76 is further used to obtain the remaining power of the energy storage device; compare the remaining power with a set remaining power threshold to obtain a comparison result, and determine the second control parameter according to the comparison result.

[0112] In an exemplary embodiment, the remaining power threshold includes a first remaining power threshold and a second remaining power threshold; wherein the first remaining power threshold is less than the second remaining power threshold; the processing module 76 is also used to determine that the value of the second control parameter is 0 when the remaining power is greater than 0 and less than or equal to the first remaining power threshold; when the remaining power is greater than the first remaining power threshold and less than or equal to the second remaining power threshold, determine the second control parameter based on the remaining power, the second remaining power threshold and a preset maximum discharge rate; when the remaining power is greater than the second remaining power threshold and less than or equal to 1, determine the preset maximum discharge rate as the second control parameter.

[0113] In an exemplary embodiment, the processing module 76 is also used to determine a third control parameter and a maximum output power of the wind turbine when the duration of inertia response processing of the wind turbine reaches a preset duration and the system load is reduced; determine a second energy storage reference power of the energy storage device based on the third control parameter and the maximum output power of the wind turbine; and control the energy storage device to charge according to the second energy storage reference power.

[0114] In an exemplary embodiment, the processing module 76 is further used to obtain the remaining power of the energy storage device;

[0115] When the remaining power is greater than 0 and less than or equal to a third remaining power threshold, determining the third control parameter based on a preset maximum discharge rate;

[0116] When the remaining power is greater than the fourth remaining power threshold and less than or equal to the fifth remaining power threshold, the third control parameter is determined based on the remaining power, the fourth remaining power threshold, the fifth remaining power threshold and the preset maximum discharge rate; when the remaining power is greater than the fifth remaining power threshold and less than or equal to 1, the value of the third control parameter is determined to be 0. An embodiment of the present application also provides a storage medium, the storage medium includes a stored program, wherein any of the above methods is executed when the above program is run.

[0117] Optionally, in this embodiment, the storage medium may be configured to store program codes for executing the following steps:

[0118] S1, obtaining the real-time load and frequency change of the power system, and the ambient wind speed of the wind turbines of the power system;

[0119] S2, comparing the real-time load with a set standard load to determine a load comparison result, and comparing the frequency change with a set frequency change threshold to determine a frequency comparison result;

[0120] S3, performing inertia response processing on the wind turbine generator set when it is determined based on the load comparison result that the system load has changed, when it is determined based on the frequency comparison result that the frequency change amount meets the frequency fluctuation condition, and when the ambient wind speed meets the wind speed condition;

[0121] S4, when the duration of the inertia response processing of the wind turbine generator set reaches a preset duration, controlling the power output of the energy storage device in the power system to adjust the system frequency of the power system.

[0122] An embodiment of the present application further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0123] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0124] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0125] S1, obtaining the real-time load and frequency change of the power system, and the ambient wind speed of the wind turbines of the power system;

[0126] S2, comparing the real-time load with a set standard load to determine a load comparison result, and comparing the frequency change with a set frequency change threshold to determine a frequency comparison result;

[0127] S3, performing inertia response processing on the wind turbine generator set when it is determined based on the load comparison result that the system load has changed, when it is determined based on the frequency comparison result that the frequency change amount meets the frequency fluctuation condition, and when the ambient wind speed meets the wind speed condition;

[0128] S4, when the duration of the inertia response processing of the wind turbine generator set reaches a preset duration, controlling the power output of the energy storage device in the power system to adjust the system frequency of the power system.

[0129] Optionally, in this embodiment, the above-mentioned storage medium may include but is not limited to: a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and other media that can store program codes.

[0130] An embodiment of the present application further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the steps in any one of the above method embodiments are implemented.

[0131] An embodiment of the present application further provides another computer program product, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0132] An embodiment of the present application also provides a computer program, which includes computer instructions stored in a computer-readable storage medium; a processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the steps in any one of the above method embodiments.

[0133] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0134] Obviously, those skilled in the art should understand that the above modules or steps of the present application can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, and optionally, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order from that herein, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

[0135] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for controlling the operation of a power system, characterized in that: include: Obtaining the real-time load and frequency change of the power system, as well as the ambient wind speed of the wind turbines of the power system; Comparing the real-time load with a set standard load to determine a load comparison result, and comparing the frequency change with a set frequency change threshold to determine a frequency comparison result; When it is determined based on the load comparison result that the system load has changed, when it is determined based on the frequency comparison result that the frequency change amount meets the frequency fluctuation condition, and when the ambient wind speed meets the wind speed condition, performing inertia response processing on the wind turbine set; When the duration of the inertia response processing on the wind turbine generator set reaches a preset duration, the power output of the energy storage device in the power system is controlled to adjust the system frequency of the power system.

2. The method according to claim 1, characterized in that The inertia response processing is performed on the wind turbine generator set when it is determined based on the load comparison result that the system load has changed, it is determined based on the frequency comparison result that the frequency change amount meets the frequency fluctuation condition, and the ambient wind speed meets the wind speed condition, including: When the system load increases, the frequency change is not within a preset frequency range, and the ambient wind speed reaches a set wind speed threshold, obtaining a first control parameter, a frequency change rate, and a maximum output power of the wind turbine generator set; Determining a reference output power of the wind turbine generator set based on the first control parameter, the frequency change rate and the maximum output power of the wind turbine generator set; The rotor speed of the wind turbine generator set is adjusted according to the reference output power.

3. The method according to claim 1, characterized in that: When the duration of the inertia response processing on the wind turbine generator set reaches a preset duration, controlling the power output of the energy storage device in the power system includes: When the duration of the inertia response processing on the wind turbine generator set reaches a preset duration and the system load increases, determining a second control parameter, a maximum output power of the wind turbine generator set, and a preset support power; Determining a first energy storage reference power of the energy storage device based on the second control parameter, the maximum output power of the wind turbine generator set, and a preset support power; The energy storage device is controlled to discharge according to the first energy storage reference power.

4. The method according to claim 3, characterized in that The determining of the second control parameter comprises: Obtaining the remaining power of the energy storage device; The remaining power is compared with a set remaining power threshold to obtain a comparison result, and a second control parameter is determined according to the comparison result.

5. The method according to claim 4, characterized in that The remaining power threshold includes a first remaining power threshold and a second remaining power threshold; wherein the first remaining power threshold is less than the second remaining power threshold; The comparing the remaining power with a set remaining power threshold to obtain a comparison result, and determining a second control parameter according to the comparison result, includes: When the remaining power is greater than 0 and less than or equal to the first remaining power threshold, determining the value of the second control parameter to be 0; When the remaining power is greater than the first remaining power threshold and less than or equal to the second remaining power threshold, determining the second control parameter based on the remaining power, the second remaining power threshold and a preset maximum discharge rate; When the remaining power is greater than the second remaining power threshold and less than or equal to 1, the preset maximum discharge rate is determined as the second control parameter.

6. The method according to claim 1, characterized in that When the duration of the inertia response processing on the wind turbine generator set reaches a preset duration, controlling the power output of the energy storage device in the power system includes: When the duration of the inertia response processing on the wind turbine generator set reaches a preset duration and the system load is reduced, determining a third control parameter and a maximum output power of the wind turbine generator set; Determining a second energy storage reference power of the energy storage device based on the third control parameter and the maximum output power of the wind turbine generator set; The energy storage device is controlled to charge according to the second energy storage reference power.

7. The method according to claim 6, characterized in that The determining of the third control parameter comprises: Obtaining the remaining power of the energy storage device; When the remaining power is greater than 0 and less than or equal to a third remaining power threshold, determining the third control parameter based on a preset maximum discharge rate; When the remaining power is greater than the fourth remaining power threshold and less than or equal to the fifth remaining power threshold, determining the third control parameter based on the remaining power, the fourth remaining power threshold, the fifth remaining power threshold and a preset maximum discharge rate; When the remaining power is greater than the fifth remaining power threshold and less than or equal to 1, the value of the third control parameter is determined to be 0.

8. An operation control device for an electric power system, characterized in that: include: An acquisition module, used to acquire the real-time load and frequency variation of the power system, and the ambient wind speed of the wind turbines of the power system; A comparison module, used for comparing the real-time load with a set standard load to determine a load comparison result, and for comparing the frequency change with a set frequency change threshold to determine a frequency comparison result; a processing module, configured to perform inertia response processing on the wind turbine generator set when it is determined based on the load comparison result that the system load has changed, when it is determined based on the frequency comparison result that the frequency change amount meets the frequency fluctuation condition, and when the ambient wind speed meets the wind speed condition; The processing module is further used to control the power output of the energy storage device in the power system to adjust the system frequency of the power system when the duration of the inertia response processing of the wind turbine generator set reaches a preset duration.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein the program executes the method described in any one of claims 1 to 7 when executed.

10. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the method according to any one of claims 1 to 7 through the computer program.

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