Compressed air energy storage grid-connected test method

Abstract

The invention relates to the technical field of new energy, in particular to a compressed air energy storage grid-connected test method, which comprises the following steps: debugging a compressor, an air storage tank and a heat storage tank of a compressed air energy storage unit; after debugging is passed, multiple power grid operation scenes are simulated through the power grid simulation server, the compressed air energy storage unit is controlled to operate in the multiple power grid operation scenes, and in the charging mode of the compressed air energy storage unit, an external power source is used for driving a compressor to compress air and then store the compressed air in an air storage tank; when the compressed air energy storage unit is in a discharging mode, compressed air stored in the air storage tank enters the turbine to do work after being heated through the heat storage tank, and the generator is driven to generate electric energy; and collecting operation data of the compressed air energy storage unit in various power grid operation scenes, and generating a grid connection test result of the compressed air energy storage unit according to the operation data. Therefore, the problems of low test precision, limited test range, difficulty in simulating a real power grid environment and the like in related technologies are solved.

Description

Technical Field

[0001] The present application relates to the field of new energy technology, and in particular to a compressed air energy storage grid-connected testing method. Background Art

[0002] With the transformation of the global energy structure and the development of renewable energy technology, the demand for energy storage in the power grid is increasing. Renewable energy such as wind energy and solar energy poses challenges to the stable operation of the power system due to its inherent intermittent and instability. In order to effectively deal with this problem, various energy storage technologies have emerged. Among them, compressed air energy storage has shown broad application prospects in the field of large-scale energy storage due to its advantages such as low cost, large scale and long life. The basic principle of compressed air energy storage technology is to use excess electric energy to drive the compressor to compress the air to a high pressure state during the low power load period and store it in a closed container or underground cave; when the peak power demand period arrives, the high-pressure air is released to work through the expander to drive the generator to generate electricity, thereby realizing energy recovery. However, key indicators such as the efficiency, response speed and grid-connected performance of the compressed air energy storage system directly affect its commercial application value. Therefore, it is particularly important to conduct accurate grid-connected testing of the compressed air energy storage system.

[0003] In the related technologies, most of the grid-connected test systems for compressed air energy storage have problems such as low test accuracy and limited test range, making it difficult to fully evaluate the actual performance of the energy storage system. In addition, traditional testing methods often need to be carried out in a real power grid environment, which not only increases the test cost, but also may pose a potential threat to power grid security. Summary of the invention

[0004] The present application provides a compressed air energy storage grid-connected testing method to solve the problems of low testing accuracy, limited testing range, and difficulty in simulating a real power grid environment in related technologies.

[0005] A first aspect of the present application provides a compressed air energy storage grid-connected test method, comprising the following steps: debugging a compressor, an air storage tank and a heat storage tank of a compressed air energy storage unit; after the debugging is passed, simulating a variety of grid operation scenarios through a grid simulation server, and controlling the operation of the compressed air energy storage unit in the various grid operation scenarios, wherein, in a charging mode, the compressed air energy storage unit uses an external power supply to drive a compressor to compress air and store it in a gas tank; in a discharging mode, the compressed air stored in the gas tank is heated by the heat storage tank and then enters a turbine to perform work, thereby driving a generator to generate electricity; collecting operating data of the compressed air energy storage unit in a variety of grid operation scenarios, and generating a grid-connected test result of the compressed air energy storage unit according to the operating data.

[0006] Optionally, the compressed air energy storage unit further includes a heat exchanger, through which the compressed air is heated, wherein a heat exchanger is provided between adjacent stages of the multi-stage compressor, and a heat exchanger is provided between adjacent turbines of the multi-stage turbine.

[0007] Optionally, the heat storage tank includes a high-temperature heat storage tank and a low-temperature heat storage tank, wherein the temperature inside the high-temperature heat storage tank is higher than the temperature inside the low-temperature heat storage tank.

[0008] Optionally, simulating multiple power grid operation scenarios through a power grid simulation server includes: identifying the user's actual test requirements; generating simulation control parameters of corresponding power grid operation scenarios according to the actual test requirements; and configuring the power grid simulation server to simulate the corresponding power grid operation scenarios according to the simulation control parameters.

[0009] Optionally, before simulating multiple power grid operation scenarios through the power grid simulation server, it includes: obtaining historical power grid data, wherein the historical power grid data includes voltage data, frequency data and load change data; and using a machine learning algorithm to train the historical power grid data to generate multiple power grid operation scenarios.

[0010] Optionally, the power grid operation scenarios include normal operation scenarios, fault recovery scenarios, load fluctuation scenarios and extreme operating condition scenarios.

[0011] Optionally, the multiple power grid operation scenarios control the operation of the compressed air energy storage unit, including: obtaining control instructions issued by a power grid simulation server; and controlling the operation of the compressed air energy storage unit according to the control instructions.

[0012] Optionally, the debugging of the compressor, gas storage tank and heat storage tank of the compressed air energy storage unit includes: testing the compressor, gas storage tank and heat storage tank of the compression control energy storage unit to generate test results; identifying whether the test results of the compressor, gas storage tank and heat storage tank are within a safe range; if not within the safe range, debugging the compressor, gas storage tank and heat storage tank of the compressed air energy storage unit until the error is within the safe range.

[0013] Optionally, generating the grid-connected test result of the compressed air energy storage unit according to the operating data includes: preprocessing the operating data; comparing the preprocessed operating data with the target operating data under the current grid operation scenario; when the error between the preprocessed operating data and the target operating data is lower than a preset threshold, the grid-connected characteristics of the compression control energy storage unit meet the grid requirements, otherwise, issuing a corresponding abnormal warning according to the operating data.

[0014] Optionally, it also includes: setting test conditions through a graphical interface according to user needs, and viewing real-time data and historical records.

[0015] Therefore, this application has at least the following beneficial effects:

[0016] The embodiment of the present application can debug the compressor, air storage tank and heat storage tank of the compressed air energy storage unit; after the debugging is passed, a variety of power grid operation scenarios are simulated through the power grid simulation server, the operation of the compressed air energy storage unit is controlled in a variety of power grid operation scenarios, and the operation data of the compressed air energy storage unit in a variety of power grid operation scenarios are collected. The grid-connected test results of the compressed air energy storage unit are generated according to the operation data, thereby simulating the real power grid environment and analyzing the grid-connected test results of the compressed air energy storage unit in a variety of power grid operation scenarios, which can not only accurately evaluate the performance indicators of the energy storage unit, but also effectively reduce the test cost and improve the safety and reliability of the test.

[0017] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0019] Figure 1 A flowchart of a compressed air energy storage grid-connected testing method provided according to an embodiment of the present application;

[0020] Figure 2 Schematic diagram of a compressed air energy storage grid-connected testing system provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0021] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0022] The following describes the compressed air energy storage grid-connected testing method of an embodiment of the present application with reference to the accompanying drawings.

[0023] Specifically, Figure 1 A schematic flow chart of a compressed air energy storage grid-connected testing method provided in an embodiment of the present application.

[0024] like Figure 1 As shown, the compressed air energy storage grid-connected testing method includes the following steps:

[0025] In step S101, the compressor, the air storage tank and the heat storage tank of the compressed air energy storage unit are debugged.

[0026] It is understandable that the embodiments of the present application can debug the compressor, air storage tank and heat storage tank of the compressed air energy storage unit to ensure subsequent normal testing and improve the accuracy of the test.

[0027] Specifically, the compressor is debugged and tested. In actual operation, the total compression process is generally a relatively stable process, and the operating conditions will not change significantly, so the compression part is tested first to ensure that the compression process is stable before the power generation test; then the gas storage and heat storage are debugged, and the status of the two is monitored by the measurement module and the monitoring module to ensure that they are within a safe range.

[0028] It should be noted that if Figure 2 As shown, the compressed air energy storage unit also includes a heat exchanger, through which the compressed air is heated, wherein a heat exchanger is arranged between adjacent stages of the multi-stage compressor, and a heat exchanger is arranged between adjacent turbines of the multi-stage turbine, and the heat storage tank includes a high-temperature heat storage tank and a low-temperature heat storage tank, wherein the temperature in the high-temperature heat storage tank is higher than the temperature in the low-temperature heat storage tank.

[0029] In an embodiment of the present application, the compressor, gas storage tank and heat storage tank of the compressed air energy storage unit are debugged, including: testing the compressor, gas storage tank and heat storage tank of the compression control energy storage unit to generate test results; identifying whether the test results of the compressor, gas storage tank and heat storage tank are within a safe range; if not within the safe range, debugging the compressor, gas storage tank and heat storage tank of the compressed air energy storage unit until the error is within the safe range.

[0030] Among them, the safety range can be set according to actual requirements without specific limitation.

[0031] It can be understood that the embodiment of the present application can test the compressor, gas storage tank and heat storage tank of the compression control energy storage unit to generate test results; identify whether the test results of the compressor, gas storage tank and heat storage tank are within a safe range; if not within the safe range, debug the compressor, gas storage tank and heat storage tank of the compressed air energy storage unit until the error is within the safe range, so as to ensure subsequent normal testing and improve the accuracy of the test.

[0032] It should be noted that the present application can use a pressure gauge and a safety valve to measure the air pressure in the gas storage tank and the heat storage tank and ensure that the gas storage tank operates within a safe range, and use a temperature sensor and a pressure sensor to monitor the temperature and pressure of the compressor.

[0033] In step S102, after debugging is passed, a variety of power grid operation scenarios are simulated through the power grid simulation server, and the operation of the compressed air energy storage unit is controlled in a variety of power grid operation scenarios. In the charging mode, the compressed air energy storage unit uses an external power supply to drive the compressor to compress the air and store it in the air tank. In the discharge mode, the compressed air stored in the air tank is heated by the heat storage tank and enters the turbine to do work, driving the generator to generate electricity.

[0034] It can be understood that after debugging, the embodiment of the present application can simulate various power grid operation scenarios through the power grid simulation server, and control the operation of the compressed air energy storage unit in various power grid operation scenarios, thereby simulating the operation of the compressed air energy storage machine in a real power grid environment and improving the stability and accuracy of the test.

[0035] In an embodiment of the present application, a variety of power grid operation scenarios are simulated through a power grid simulation server, including: identifying the user's actual test requirements; generating simulation control parameters for corresponding power grid operation scenarios based on the actual test requirements; and configuring the power grid simulation server to simulate the corresponding power grid operation scenarios based on the simulation control parameters.

[0036] It can be understood that the embodiments of the present application can generate simulation control parameters of corresponding power grid operation scenarios according to actual test requirements; configure the power grid simulation server to simulate the corresponding power grid operation scenarios according to the simulation control parameters, thereby improving the stability and accuracy of the test.

[0037] In an embodiment of the present application, before simulating various power grid operation scenarios through a power grid simulation server, it includes: obtaining historical power grid data, wherein the historical power grid data includes voltage data, frequency data and load change data; and using a machine learning algorithm to train the historical power grid data to generate various power grid operation scenarios.

[0038] Among them, power grid operation scenarios include normal operation scenarios, fault recovery scenarios, load fluctuation scenarios and extreme operating conditions scenarios.

[0039] It is understandable that the embodiments of the present application can use machine learning algorithms to train historical power grid data to generate a variety of power grid operation scenarios, so as to subsequently improve the accuracy of simulating the real power grid environment.

[0040] Specifically, the power grid simulation server is used to create a virtual power grid environment to simulate the characteristics of the power grid under different working conditions. By using big data analysis and prediction algorithms, the server can identify potential power grid failures in advance and provide preventive measures to reduce unexpected situations that may occur during the testing process.

[0041] In an embodiment of the present application, a variety of power grid operation scenarios control the operation of the compressed air energy storage unit, including: obtaining control instructions issued by a power grid simulation server; and controlling the operation of the compressed air energy storage unit according to the control instructions.

[0042] It can be understood that the embodiment of the present application can obtain the control instructions issued by the power grid simulation server; control the operation of the compressed air energy storage unit according to the control instructions, and effectively reduce the testing cost.

[0043] In step S103, the operating data of the compressed air energy storage unit in various power grid operating scenarios are collected, and the grid-connected test results of the compressed air energy storage unit are generated according to the operating data.

[0044] It can be understood that the embodiments of the present application can collect operating data of compressed air energy storage units in various power grid operating scenarios, and generate grid-connected test results of compressed air energy storage units based on the operating data, thereby simulating the real power grid environment and analyzing the grid-connected test results of compressed air energy storage units in various power grid operating scenarios. This can not only accurately evaluate the performance indicators of the energy storage units, but also effectively reduce testing costs and improve the safety and reliability of testing.

[0045] In an embodiment of the present application, a grid-connected test result of a compressed air energy storage unit is generated based on operating data, including: preprocessing the operating data; comparing the preprocessed operating data with the target operating data under the current grid operating scenario; when the error between the preprocessed operating data and the target operating data is lower than a preset threshold, the grid-connected characteristics of the compression control energy storage unit meet the grid requirements, otherwise, a corresponding abnormal warning is issued based on the operating data.

[0046] Among them, the preset threshold can be set according to actual needs without specific limitation.

[0047] It can be understood that the embodiment of the present application can pre-process the operation data; compare the pre-processed operation data with the target operation data under the current power grid operation scenario; when the error between the pre-processed operation data and the target operation data is lower than the preset threshold, the grid-connected characteristics of the compression control energy storage unit meet the power grid requirements; otherwise, a corresponding abnormal warning is issued according to the operation data, thereby improving

[0048] It should be noted that before using the machine learning algorithm, the sensor data is transmitted to the central processor through the data acquisition card, and pre-processing such as Kalman filtering can be performed and stored.

[0049] In an embodiment of the present application, it also includes: setting test conditions through a graphical interface according to user needs, and viewing real-time data and historical records.

[0050] It is understandable that the embodiments of the present application can set test conditions, view real-time data and historical records through a graphical interface according to user needs to enhance the user experience.

[0051] It should be noted that this application has developed a graphical user interface that allows users to easily set test conditions, view real-time data and historical records; it also provides a variety of visualization tools, such as charts, graphs, etc., to intuitively display test results; it can realize remote monitoring functions, allowing users to access the test system through the network for remote operation and management.

[0052] According to the compressed air energy storage grid-connected test method proposed in the embodiment of the present application, the compressor, air storage tank and heat storage tank of the compressed air energy storage unit are debugged; after the debugging is passed, a variety of grid operation scenarios are simulated through the grid simulation server, the operation of the compressed air energy storage unit is controlled in a variety of grid operation scenarios, the operation data of the compressed air energy storage unit in a variety of grid operation scenarios are collected, and the grid-connected test results of the compressed air energy storage unit are generated according to the operation data, so as to simulate the real grid environment and analyze the grid-connected test results of the compressed air energy storage unit in a variety of grid operation scenarios, which can not only accurately evaluate the performance indicators of the energy storage unit, but also effectively reduce the test cost and improve the safety and reliability of the test.

[0053] The following will Figure 2 The compressed air energy storage grid-connected test system implements the above-mentioned compressed air energy storage grid-connected test method, specifically:

[0054] The compressed air energy storage grid-connected test system includes: compressed air energy storage unit, power grid simulation server and measurement and interaction module. The specific components are as follows:

[0055] (1) Compressed air energy storage unit: As the core component of this application, it is responsible for realizing energy storage and release.

[0056] The unit includes key components such as air compression device, high-pressure gas storage tank, thermal energy management system, expander and generator. In charging mode, an external power source is used to drive the air compression device to compress the air to a high-pressure state and store it in the gas storage tank; in discharge mode, the high-pressure gas is heated by the thermal energy management system and then enters the expander to perform work, driving the generator to generate electricity.

[0057] Specifically, the compressed air energy storage unit includes the following modules:

[0058] 1) Air compression device

[0059] Use axial flow and centrifugal compressors to compress air into high temperature and high pressure air.

[0060] Equipped with a frequency converter to adjust the speed of the compressor according to actual needs to achieve energy-saving operation.

[0061] Temperature and pressure sensors are installed to monitor key parameters of the compression process in real time.

[0062] 2) High-pressure gas tank

[0063] High-pressure resistant materials are used to manufacture gas tanks to ensure their safety and reliability.

[0064] Install a pressure gauge and a safety valve to measure the gas pressure in the gas tank and ensure that the gas tank operates within a safe range.

[0065] 3) Thermal management system

[0066] An efficient heat exchanger is used to ensure that the compressed air is fully cooled during the charging process and can be quickly heated during the discharge process.

[0067] Install temperature sensors to monitor temperature changes during heat exchange in real time.

[0068] 4) Expander and generator

[0069] Choose an efficient and reliable expander to ensure that the high-pressure gas can be converted into mechanical energy to the greatest extent during the expansion process.

[0070] Equipped with a high-performance generator to convert mechanical energy into electrical energy.

[0071] Install power meters, voltage measuring devices, current measuring devices, PMU devices, etc. to monitor key parameters in the power generation process, such as power, voltage, current, frequency, etc., in real time.

[0072] (2) Grid simulation server: used to create a virtual grid environment to simulate grid characteristics under different working conditions. The server uses advanced artificial intelligence technology and has the following features:

[0073] Intelligent scenario generation: Based on machine learning algorithms, the power grid simulation server can generate a variety of power grid operation scenarios based on historical data and real-time data, including normal operation, fault recovery, load fluctuations and other complex situations, ensuring a high degree of simulation of the test environment.

[0074] Adaptive adjustment: The server can monitor the operating status of the energy storage unit in real time and automatically adjust the output signal through the deep learning model to simulate the grid conditions that best meet the current test requirements. This adaptive adjustment capability significantly improves the flexibility and accuracy of the test.

[0075] Fault prediction and diagnosis: Using big data analysis and predictive algorithms, the server can identify potential power grid faults in advance and provide preventive measures to reduce unexpected situations that may occur during testing.

[0076] Optimize control strategy: Through reinforcement learning technology, the server can continuously optimize the control strategy of the energy storage unit to improve the overall efficiency and stability of the system. For example, by dynamically adjusting the operating parameters of the compressor and expander, the best energy conversion effect can be achieved.

[0077] Among them, the specific application process of the power grid simulation server is as follows:

[0078] Collect a large amount of historical power grid data, including voltage, frequency, load changes, etc.

[0079] Use machine learning algorithms to train data and generate a variety of power grid operation scenarios.

[0080] Implement scene switching function, allowing users to select different test scenarios for simulation.

[0081] (3) Measurement and interaction module: responsible for data collection, analysis and processing, and human-computer interaction. This module uses high-precision sensors to monitor the various operating parameters of the energy storage unit (such as pressure, temperature, power, etc.) in real time, and uses dedicated software to analyze the data and generate detailed test reports. At the same time, operators can set test conditions, view real-time data and historical records through a graphical interface, and achieve convenient control of the entire test process.

[0082] Among them, the implementation method of the measurement and interaction module is as follows:

[0083] The interactive module includes a monitoring module and an instruction issuing module, which respectively transmit the data of the measuring module to the power grid simulation server and the power grid simulation server issues power instructions to the energy storage device.

[0084] 1) Data collection

[0085] Install high-precision sensors to monitor the various operating parameters of the energy storage unit in real time, including pressure, temperature, power, etc.

[0086] The sensor data is transmitted to the central processor through the data acquisition card for preliminary processing such as Kalman filtering and storage.

[0087] 2) Data analysis

[0088] Use dedicated software to analyze the collected data and generate detailed test reports.

[0089] Apply statistical methods and machine learning algorithms to extract key features and identify anomalies.

[0090] 3) Human-computer interaction

[0091] Develop a graphical user interface that allows users to easily set test conditions and view real-time data and historical records.

[0092] Provides a variety of visualization tools, such as charts, graphs, etc., to intuitively display test results.

[0093] Realize remote monitoring function, allowing users to access the test system through the network for remote operation and management.

[0094] In view of the above content, the testing process of this application is as follows:

[0095] (1) Debug and test the compressor. In actual operation, the total compression process is generally a relatively stable process, and the operating conditions will not change significantly. Therefore, the compression part test is carried out first to ensure that the compression process is stable before conducting the power generation test.

[0096] (2) Debug the gas storage and heat storage, and monitor their status through the measurement module and monitoring module to ensure that they are within a safe range.

[0097] (3) Test the compressed air energy storage system by generating multiple scenarios, especially various extreme working conditions, through the power grid simulation server, and transmit the scenario instructions to the compressed air energy storage system through the instruction issuing module, measure the relevant reactions of the power station, and test the grid-connected characteristics of the compressed air energy storage.

[0098] In summary, this application can not only accurately evaluate the performance indicators of the energy storage unit, but also effectively reduce the testing cost, improve the safety and reliability of the test, and provide strong support for the research and development and application of compressed air energy storage technology.

[0099] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0100] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0101] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0102] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one or a combination of multiple of the following technologies known in the art: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0103] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

Claims

1. A method for testing the grid connection of compressed air energy storage, characterized in that: The following steps are involved: Debug the compressor, air storage tank and heat storage tank of the compressed air energy storage unit; After the debugging is passed, a plurality of grid operation scenarios are simulated through the grid simulation server, and the operation of the compressed air energy storage unit is controlled in the plurality of grid operation scenarios, wherein the compressed air energy storage unit uses an external power supply to drive the compressor to compress the air and store it in the gas storage tank in the charging mode, and the compressed air energy storage unit is in the discharging mode, and the compressed air stored in the gas storage tank is heated by the heat storage tank and then enters the turbine to perform work, thereby driving the generator to generate electricity; The operating data of the compressed air energy storage unit in various power grid operating scenarios are collected, and the grid-connected test results of the compressed air energy storage unit are generated according to the operating data.

2. The compressed air energy storage grid-connected testing method according to claim 1, characterized in that: The compressed air energy storage unit also includes a heat exchanger, through which the compressed air is heated, wherein a heat exchanger is arranged between adjacent compressor stages of a multi-stage compressor, and a heat exchanger is arranged between adjacent turbine stages of a multi-stage turbine.

3. The compressed air energy storage grid-connected testing method according to claim 2 is characterized in that: The heat storage tank includes a high-temperature heat storage tank and a low-temperature heat storage tank, wherein the temperature inside the high-temperature heat storage tank is higher than the temperature inside the low-temperature heat storage tank.

4. The compressed air energy storage grid-connected testing method according to claim 1, characterized in that: The power grid simulation server simulates various power grid operation scenarios, including: Identify users’ actual testing needs; Generate simulation control parameters of corresponding power grid operation scenarios according to the actual test requirements; The power grid simulation server is configured according to the simulation control parameters to simulate the corresponding power grid operation scenario.

5. The method for testing the grid-connected compressed air energy storage according to claim 4, characterized in that: Before simulating various power grid operation scenarios through the power grid simulation server, the following steps are included: Acquiring historical power grid data, wherein the historical power grid data includes voltage data, frequency data, and load change data; The historical power grid data is trained using a machine learning algorithm to generate a variety of power grid operation scenarios.

6. The compressed air energy storage grid-connected testing method according to claim 5, characterized in that: The power grid operation scenarios include normal operation scenarios, fault recovery scenarios, load fluctuation scenarios and extreme operating condition scenarios.

7. The compressed air energy storage grid-connected testing method according to claim 6, characterized in that: The multiple grid operation scenarios control the operation of the compressed air energy storage unit, including: Obtain control instructions issued by the power grid simulation server; The operation of the compressed air energy storage unit is controlled according to the control instruction.

8. The compressed air energy storage grid-connected testing method according to claim 1, characterized in that: The commissioning of the compressor, air storage tank and heat storage tank of the compressed air energy storage unit includes: Testing the compressor, the gas storage tank and the heat storage tank of the compression control energy storage unit to generate test results; Identify whether the test results of compressors, gas tanks and heat storage tanks are within the safe range; If it is not within the safety range, the compressor, air storage tank and heat storage tank of the compressed air energy storage unit are debugged until the error is within the safety range.

9. The compressed air energy storage grid-connected testing method according to claim 1, characterized in that: The generating the grid-connected test result of the compressed air energy storage unit according to the operating data comprises: Preprocessing the operation data; Comparing the preprocessed operation data with target operation data under the current power grid operation scenario; When the error between the preprocessed operating data and the target operating data is lower than a preset threshold, the grid-connected characteristics of the compression-controlled energy storage unit meet the grid requirements; otherwise, a corresponding abnormal warning is issued according to the operating data.

10. The compressed air energy storage grid-connected testing method according to claim 1, characterized in that: Also includes: Set test conditions and view real-time data and historical records through a graphical interface according to user needs.

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