Energy storage power station grid-connected test method and system and readable storage medium

Abstract

The invention discloses an energy storage power station grid-connected test method and system and a readable storage medium, and the method comprises the steps: constructing an energy storage power station power grid joint simulation model, and pre-configuring a multi-dimensional test scene in the energy storage power station power grid joint simulation model; carrying out a multi-stage test by using a pre-configured multi-dimensional test scene; based on real-time data, multi-stage test parameter thresholds are dynamically adjusted, and a test result is evaluated through an intelligent algorithm. The performance and the safety of the energy storage power station after grid connection can be comprehensively evaluated by constructing the energy storage power station power grid joint simulation model, pre-configuring the multi-dimensional test scene, carrying out the multi-stage test and evaluating the test result, and it is ensured that the energy storage power station can be safely and reliably connected to the power grid.

Description

Technical Field

[0001] The present invention belongs to the technical field of grid connection testing for energy storage power stations, and specifically relates to a grid connection testing method, system and readable storage medium for energy storage power stations. Background Art

[0002] With the large-scale grid connection of renewable energy, energy storage power stations have become important facilities for power grid frequency regulation, peak shaving and emergency support. The existing grid connection testing methods have the following problems: traditional methods only focus on single electrical parameters and lack comprehensive testing of the dynamic response and fault ride-through capabilities of energy storage systems; they do not consider the dynamic changes in grid operating conditions (such as load fluctuations and randomness of new energy output), resulting in a large deviation between test results and actual operating scenarios; the testing process relies on manual intervention and has low automation, making it difficult to meet the rapid deployment requirements of large-scale energy storage power stations. Summary of the Invention

[0003] The purpose of the present invention is to provide a grid connection testing method, system and readable storage medium for energy storage power stations, so as to solve the technical defects in the prior art that traditional methods only focus on single electrical parameters, lack comprehensive testing of the dynamic response and fault ride-through capabilities of energy storage systems; do not consider the dynamic changes in grid operating conditions, resulting in a large deviation between test results and actual operating scenarios; the testing process relies on manual intervention and has low automation, making it difficult to meet the rapid deployment requirements of large-scale energy storage power stations.

[0004] To achieve the above purpose, the present invention adopts the following technical solutions: In the first aspect, a grid connection testing method for an energy storage power station is provided, including: Construct a combined simulation model of the energy storage power station and the grid, and pre-configure multi-dimensional test scenarios in the combined simulation model of the energy storage power station and the grid; Carry out multi-stage testing by using the pre-configured multi-dimensional test scenarios; Based on real-time data, dynamically adjust the parameter thresholds of the multi-stage testing, and evaluate the test results through intelligent algorithms.

[0005] Further, the constructing a combined simulation model of the energy storage power station and the grid, and pre-configuring multi-dimensional test scenarios in the combined simulation model of the energy storage power station and the grid specifically includes: Obtain the grid topology structure; Use the obtained grid topology structure to establish a grid dynamic model, and establish a simulation model using power system simulation software; Import the real-time grid operation data into the simulation model to calibrate the simulation model parameters; Establish an electrochemical model, calibrate the SOC-SOH curve and charge-discharge efficiency, and construct a double closed-loop control model, and define the switching frequency and modulation strategy; Using the modulation strategy defined above, simulate the equalization control logic, thermal management strategy, and fault protection mechanism; Couple the simulation model, electrochemical model, and double closed-loop control model to form a joint simulation model of the energy storage power station and the power grid; In the joint simulation model of the energy storage power station and the power grid, configure power grid fault test scenarios, power grid dynamic fluctuation test scenarios, internal anomalies test scenarios of the energy storage power station, and comprehensive operation test scenarios respectively.

[0006] Further, in the power grid fault test scenario, set different short-circuit types, fault locations, and durations, and define the voltage dip depth and recovery time; In the power grid dynamic fluctuation test scenario, simulate the frequency deviation caused by the sudden change in new energy output, and configure the background harmonic content; In the internal anomalies test scenario of the energy storage power station, simulate the inconsistency and thermal runaway of battery clusters, and set the overcurrent of the converter and the action threshold for IGBT breakdown protection; In the comprehensive operation test scenario, simulate the multi-mode switching of frequency modulation, peak shaving, and black start, and set continuous charge and discharge cycles throughout the day, and monitor the temperature rise and efficiency decay during the continuous charge and discharge cycles.

[0007] Further, using the pre-configured multi-dimensional test scenarios, conduct multi-stage tests, specifically including: Using the pre-configured multi-dimensional test scenarios, conduct electrical characteristic tests, power grid adaptability tests, dynamic response tests, and comprehensive stability tests respectively.

[0008] Further, the electrical characteristic tests include voltage / frequency adaptability tests and harmonic content tests.

[0009] Further, the power grid adaptability tests include simulating power grid short-circuit faults, frequency sudden rises / drops, and voltage sags tests.

[0010] In a second aspect, there is provided a grid connection test system for an energy storage power station, including: A construction module for constructing a joint simulation model of the energy storage power station and the power grid; A configuration module for pre-configuring multi-dimensional test scenarios; A test module for conducting multi-stage tests; An evaluation module for evaluating test results.

[0011] In a third aspect, there is provided a mobile device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the grid connection test method for the energy storage power station as described above are implemented.

[0012] Fourthly, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned grid connection test method for the energy storage power station are implemented.

[0013] Fifthly, a computer program product is provided, including computer instructions, and the computer instructions direct a computing device to execute the operations corresponding to the above-mentioned grid connection test method for the energy storage power station.

[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. By integrating the dynamic interaction between the grid side and the energy storage side through a co-simulation model, it is possible to simulate complex working conditions in a real grid environment, avoiding the limitations of traditional single-device testing; pre-configuring test scenarios can expose potential problems in advance during the simulation stage, reducing the risk of equipment damage in on-site tests and lowering the commissioning cost; the staged progressive testing ensures the layer-by-layer verification of the collaborative performance of each subsystem; dynamically adjusting the test threshold based on real-time grid data makes the test conditions more in line with the actual operation requirements, solving the problems of "too strict" or "too loose" in traditional fixed-threshold testing; the intelligent algorithm can extract implicit features from a large amount of test data, identify potential risks that are difficult to detect manually, and greatly improve the fault detection rate.

[0015] 2. By obtaining the grid topology structure and establishing a grid dynamic model, the simulation model can accurately reflect the structure and operation characteristics of the actual grid. Importing the real-time grid operation data into the simulation model to calibrate the model parameters further improves the accuracy and reliability of the model, making the simulation results closer to the reality; establishing an electrochemical model, calibrating the SOC-SOH curve and charge-discharge efficiency, fully considering the characteristics of energy storage batteries, provides a basis for evaluating the performance of the energy storage power station; constructing a double-loop control model, defining the switching frequency and modulation strategy, simulating the actual control logic of the energy storage power station, enabling the simulation model to more realistically reflect the operating state of the energy storage power station.

[0016] 3. By setting different short-circuit types, fault locations, and durations, it is possible to comprehensively simulate various fault conditions that may occur in the grid; defining the voltage sag depth and recovery time can accurately evaluate the response speed, voltage support ability, and recovery performance of the energy storage power station under grid faults, helping to optimize the control strategy of the energy storage power station, improving its ability to respond to grid faults, and ensuring the stable operation of the grid.

[0017] 4. Using the pre-configured multi-dimensional test scenarios to carry out multi-stage tests can comprehensively and systematically evaluate the performance of the energy storage power station, providing strong support for its design, operation, and optimization.

[0018] 5. Voltage / frequency adaptability test and harmonic content test, as important components of electrical characteristic tests, are of great significance for the performance evaluation and optimization of energy storage power stations. They help verify the grid connection compatibility of energy storage power stations, optimize control strategies, improve grid stability, evaluate power quality, optimize filter design, and improve system efficiency, providing strong guarantees for the safe, stable, and efficient operation of energy storage power stations.

[0019] 6. Short-circuit faults are relatively serious fault types in the power grid. By simulating short-circuit faults, it can be tested whether the protection system of the energy storage power station can act quickly and accurately, effectively isolate the fault point, prevent the expansion of the fault, and ensure the safety of the energy storage power station and the power grid; the frequency stability of the power grid is an important foundation for the normal operation of the power system. By simulating sudden frequency increase / decrease, it can be tested the frequency regulation ability of the energy storage power station, including response speed, regulation accuracy, and regulation range, etc. Description of the Drawings

[0020] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention, and thus should not be regarded as limiting the scope. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0021] Figure 1 It is the flowchart of the grid connection test method for the energy storage power station provided by the present invention; Figure 2 It is the schematic diagram of the grid connection test system for the energy storage power station provided by the present invention. Detailed Embodiments

[0022] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Usually, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0023] Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed present invention, but merely represents the selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0024] It should be noted that similar reference numerals and letters indicate similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0025] In the description of the embodiments of the present invention, it should be noted that if terms such as "upper", "lower", "horizontal", "inner", etc. indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship in which the invention product is usually placed during use, it is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation to the present invention. In addition, terms such as "first", "second", etc. are only used for distinguishing descriptions and cannot be understood as indicating or implying relative importance.

[0026] In addition, if the term "horizontal" appears, it does not mean that the component is required to be absolutely horizontal, but it can be slightly inclined. For example, "horizontal" only means that its direction is more horizontal relative to "vertical", and does not mean that the structure must be completely horizontal, but it can be slightly inclined.

[0027] In the description of the embodiments of the present invention, it should also be noted that unless otherwise clearly specified and limited, if terms such as "set", "installed", "connected", "connected" are understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0028] With the large-scale grid connection of renewable energy, energy storage power stations have become important facilities for grid frequency regulation, peak shaving, and emergency support. The existing grid connection test methods have the following problems: traditional methods only focus on single electrical parameters and lack comprehensive tests on the dynamic response and fault ride-through capabilities of energy storage systems; they do not consider the dynamic changes in grid operating conditions (such as load fluctuations and randomness of new energy output), resulting in a large deviation between test results and actual operating scenarios; the test process relies on manual intervention and has a low degree of automation, making it difficult to meet the rapid deployment requirements of large-scale energy storage power stations.

[0029] To solve the above technical defects, the inventor provides a grid connection test method, system, and readable storage medium for an energy storage power station.

[0030] The following further describes the present invention in detail with reference to the drawings: In the first aspect, the embodiments of the present invention provide a grid connection test method for an energy storage power station, as Figure 1 shown, including: S101. Build a joint simulation model of the energy storage power station and the power grid, and pre-configure multi-dimensional test scenarios in the joint simulation model of the energy storage power station and the power grid. Exemplarily, first obtain the power grid topology structure, which can understand the connection relationships and power flow directions of various components in the power grid, providing an accurate structural framework for establishing the power grid dynamic model. Then, use the obtained power grid topology structure to establish a power grid dynamic model, which can simulate the dynamic responses of the power grid under various working conditions, including changes in parameters such as voltage, current, and frequency.

[0031] Use power system simulation software to establish a simulation model. Specifically, select appropriate power system simulation software, such as Matlab / Simulink, etc., import the power grid dynamic model into it, and establish a simulation model of the power grid, which can simulate the real-time operation of the power grid and provide a basis for importing real-time power grid operation data for calibration later. Secondly, import the real-time power grid operation data into the simulation model to calibrate the parameters of the simulation model. Importing the actual real-time power grid operation data into the simulation model and comparing it with the simulation results can calibrate the parameters of the simulation model, ensuring the accuracy and reliability of the simulation model and making it closer to the actual power grid operation situation.

[0032] Then establish an electrochemical model. The core of the energy storage power station is the electrochemical energy storage device, such as a battery pack, etc. Therefore, it is necessary to establish an electrochemical model to simulate parameters such as the charge and discharge process of the energy storage device, the SOC (state of charge)-SOH (state of health) curve, and the charge and discharge efficiency. Calibrate the SOC-SOH curve and the charge and discharge efficiency. Through experiments or data analysis, calibrating the SOC-SOH curve and the charge and discharge efficiency of the energy storage device is crucial for accurately simulating the performance of the energy storage device.

[0033] In order to achieve precise control of the energy storage device, it is necessary to build a double closed-loop control model. This model includes two control loops, an inner loop and an outer loop, which are respectively used to adjust parameters such as the current and voltage of the energy storage device to ensure that the energy storage device operates within a safe and efficient range. Then, according to the characteristics of the energy storage device and the requirements of the power grid, define the switching frequency and modulation strategy of the double closed-loop control model, and use the defined modulation strategy to simulate the equalization control logic, thermal management strategy, and fault protection mechanism. These mechanisms can ensure the safe operation and long service life of the energy storage device under complex working conditions.

[0034] Finally, couple the simulation model, the electrochemical model, and the double closed-loop control model to form a joint simulation model of the energy storage power station and the power grid, which can comprehensively simulate the interaction process between the energy storage power station and the power grid and provide a basis for subsequent test evaluation. In the joint simulation model of the energy storage power station and the power grid, configure power grid fault test scenarios, power grid dynamic fluctuation test scenarios, internal abnormal test scenarios of the energy storage power station, and comprehensive operation test scenarios respectively, which can cover various working conditions that the energy storage power station may encounter and comprehensively evaluate its grid connection performance.

[0035] During the whole process, by building a joint simulation model of the energy storage power station and the power grid, it is possible to simulate the real power grid environment and the operation status of the energy storage power station. On this basis, multi-dimensional test scenarios are pre-configured, including various situations such as power grid faults, dynamic fluctuations, internal anomalies, and comprehensive operation, so as to comprehensively cover all kinds of working conditions that the energy storage power station may encounter. However, it is far from enough to rely solely on the pre-configured test scenarios for testing. Since both the power grid environment and the operation status of the energy storage power station are dynamically changing, the test parameter thresholds also need to be dynamically adjusted according to the actual situation. At the same time, in order to accurately evaluate the test results, intelligent algorithms are also needed to process and analyze the test data.

[0036] Furthermore, in the power grid fault test scenario, different short-circuit types, fault locations, and durations are set, and the voltage sag depth and recovery time are defined. Among them, different short-circuit types include single-phase grounding and three-phase short-circuit; the fault locations include near-end / far-end, and the duration is 100 ms - 2 s; the voltage sag depth is defined, such as 50% of the rated voltage, and the recovery time is 0.1 s - 5 s. In the above process, by setting two short-circuit types of single-phase grounding and three-phase short-circuit, common fault situations in the power grid can be simulated. Single-phase grounding faults are usually caused by equipment insulation damage, line aging, etc., while three-phase short-circuit faults may be caused by serious equipment failures, severe line damage, etc. These fault types pose different challenges to the grid connection performance and fault response ability of the energy storage power station. Through simulation tests, the response ability of the energy storage power station can be comprehensively evaluated. Near-end faults and far-end faults have different impacts on the energy storage power station. Near-end faults usually result in larger current shocks and voltage sags, posing a severe test to the equipment and control system of the energy storage power station. Although the current shock and voltage sag of far-end faults are relatively small, the fault propagation and recovery time may be longer. By setting different fault locations, the fault response process under different conditions can be simulated, and the adaptability and stability of the energy storage power station can be evaluated. The length of the fault duration also has a significant impact on the fault response ability of the energy storage power station. A shorter fault duration may allow the energy storage power station to restore grid stability through rapid response and regulation, while a longer fault duration may lead to overload, overheating, and even damage of the energy storage power station. By setting different fault durations, the fault tolerance ability and recovery ability of the energy storage power station under different conditions can be evaluated. By defining the voltage sag depth and recovery time, the voltage regulation ability of the energy storage power station can be accurately evaluated. For example, setting the voltage sag depth to 50% of the rated voltage can simulate a relatively severe voltage sag situation in the power grid; setting the recovery time to 0.1 s - 5 s can evaluate the voltage regulation speed and accuracy of the energy storage power station under different recovery times. These parameters are of great significance for ensuring that the energy storage power station can quickly restore voltage stability during power grid faults and prevent sensitive loads from being damaged. Then, through simulation tests, the response process and performance indicators of the energy storage power station under different fault scenarios can be observed. Based on these test results, the protection strategy and control algorithm of the energy storage power station can be optimized. For example, adjusting protection settings, optimizing control algorithm parameters, etc., to improve the fault response speed and regulation accuracy of the energy storage power station. These optimization measures help to improve the grid connection performance and reliability of the energy storage power station and reduce the impact of faults on the power grid and users. In summary, by setting different short-circuit types, fault locations, and durations, and defining the voltage sag depth and recovery time, the grid connection performance and fault response ability of the energy storage power station can be comprehensively evaluated. These test results provide important references for the design, operation, and maintenance of the energy storage power station. By optimizing the hardware and software design of the energy storage power station, its reliability and safety can be improved, ensuring its stable and safe operation under various working conditions.

[0037] Furthermore, in the power grid dynamic fluctuation test scenario, the frequency deviation caused by the sudden change of new energy output is simulated, and the background harmonic content is configured. The output of new energy, such as wind power and photovoltaic power generation, is affected by natural conditions and has significant intermittency and volatility. Simulating the frequency deviation caused by the sudden change of new energy output can truly reflect the dynamic characteristics of the power grid after the access of new energy. This test scenario can evaluate the fast response ability of the energy storage power station during the power grid frequency fluctuation, including its regulation speed, regulation accuracy, and continuous regulation ability. Secondly, through the test, it can be observed how the energy storage power station automatically adjusts the charge and discharge power according to the change of the power grid frequency to maintain the stability of the power grid frequency, which helps to verify whether the frequency response control strategy of the energy storage power station is effective and its performance in actual operation.

[0038] During the grid connection process of new energy power generation equipment, power conversion needs to be carried out through power electronic devices. The use of these devices will generate non-linear currents and inject harmonics into the power grid. Configuring the background harmonic content can simulate the actual harmonic pollution situation in the power grid. At the same time, in the environment of harmonic pollution, the energy storage power station needs to have effective harmonic suppression capabilities to ensure the power quality of the power grid. Through the test, the harmonic suppression effect of the energy storage power station can be evaluated, including its harmonic absorption ability, harmonic compensation strategy, and the degree of influence of harmonics on the power grid and equipment. By simulating the frequency deviation caused by the sudden change of new energy output and configuring the background harmonic content, the grid connection performance and dynamic response ability of the energy storage power station can be comprehensively evaluated, which can reveal the problems and challenges that the energy storage power station may encounter in actual operation and provide important references for subsequent optimized design, operation, and maintenance.

[0039] Finally, based on the test results, the control strategy of the energy storage power station can be adjusted and optimized; for example, improving the frequency response control strategy to improve the regulation speed and accuracy; optimizing the harmonic suppression strategy to reduce the influence of harmonics on the power grid and equipment, etc. These optimization measures help to improve the grid connection performance and dynamic response ability of the energy storage power station and ensure its stability and reliability in actual operation.

[0040] The inconsistency of battery clusters is a common problem in energy storage power stations, including the inconsistency of parameters such as battery capacity, internal resistance, and open-circuit voltage. The inconsistency will cause the generation of circulating current phenomena during the charge and discharge process of the battery cluster, reducing the available capacity and efficiency of the energy storage system. By simulating the inconsistency of battery clusters, the influence of this inconsistency on the overall performance of the energy storage power station can be evaluated, and whether the equalization control strategy of the energy storage power station is effective can be evaluated; moreover, through the simulation test, the inconsistency problem in the battery cluster can be detected early, providing a basis for subsequent maintenance and management. According to the test results, optimize the equalization control strategy of the energy storage power station, reduce the circulating current phenomenon, and improve the available capacity and efficiency of the energy storage system.

[0041] Battery thermal runaway is one of the serious safety accidents in energy storage power stations, which may trigger fires or explosions. By simulating battery thermal runaway, it is possible to evaluate whether the thermal management strategy and fault protection mechanism of the energy storage power station are effective; simulating the thermal runaway process, including the rise of battery internal temperature, gas release, pressure change, etc., helps to reveal the triggering conditions and evolution process of thermal runaway. Through simulation tests, verify whether the thermal management strategy of the energy storage power station can control the battery temperature in a timely and effective manner to prevent the occurrence of thermal runaway. According to the test results, improve the fault protection mechanism of the energy storage power station to ensure that the power supply can be quickly cut off in case of emergencies such as thermal runaway, and protect the safety of personnel and equipment.

[0042] The converter is a key device in the energy storage power station, responsible for the conversion and transmission of electrical energy. By setting the overcurrent protection action threshold of the converter, its protection ability under overload conditions can be evaluated; when the output current of the converter exceeds the set threshold, the protection action should quickly cut off the power supply to prevent equipment damage or safety accidents such as fires. IGBT is the core component in the converter, responsible for the conversion and control of electrical energy. By setting the IGBT breakdown protection action threshold, its protection effect under abnormal conditions such as overvoltage and overcurrent can be evaluated. When the voltage or current borne by the IGBT exceeds the set threshold, the protection action should quickly cut off the power supply to prevent the IGBT from being broken down and damaged.

[0043] When the grid frequency fluctuates, the energy storage power station can respond quickly and maintain the grid frequency stability through charge and discharge regulation; discharge during the peak load period of the grid and charge during the low valley period to achieve "peak shaving and valley filling" of electrical energy; in the case of a complete power outage of the grid, the energy storage power station can be used as a starting power source to drive other units to gradually restore the grid power supply. By simulating the switching of these three modes, the operating performance of the energy storage power station under different working conditions can be comprehensively evaluated, and it can be verified whether it can meet the actual needs of the grid. In addition, the actual operating conditions of the grid are complex and changeable, and the energy storage power station needs to have good adaptability and be able to operate stably in different modes. The multi-mode switching test helps the energy storage power station to optimize its control strategy and algorithm, and improve the operating efficiency and stability under different working conditions. The energy storage power station needs long-term and high-frequency charge and discharge cycles to meet the actual needs of the grid. The all-weather continuous charge and discharge cycle test can simulate the actual operating conditions of the energy storage power station and evaluate its durability and reliability. During the continuous charge and discharge cycle process, the internal temperature of the energy storage power station will gradually rise, and at the same time, the efficiency of components such as batteries will also gradually decay. By monitoring the temperature rise and efficiency decay, the thermal management performance of the energy storage power station and the performance stability of components such as batteries can be evaluated. In the above process, by simulating multi-mode switching and continuous charge and discharge cycles, the efficiency bottleneck in the operation of the energy storage power station can be found and optimized accordingly. The optimized energy storage power station can maintain a higher operating efficiency under different working conditions and reduce the operating cost of the grid.

[0044] S102. Conduct multi-stage tests using the pre-configured multi-dimensional test scenarios. Exemplarily, use the pre-configured multi-dimensional test scenarios to conduct electrical characteristic tests, grid adaptability tests, dynamic response tests, and comprehensive stability tests respectively. Among them, the electrical characteristic tests include voltage / frequency adaptability tests and harmonic content tests; the grid adaptability tests include simulating grid short-circuit faults, frequency rapid rise / fall, and voltage sag tests; the dynamic response tests include charge / discharge switching time tests and power regulation accuracy tests; the comprehensive stability tests include long-term operation temperature rise tests and SOC balance tests. Specifically, for the voltage / frequency adaptability test, the test content is to evaluate the adaptability of the energy storage power station to the fluctuations of the grid voltage and frequency. This test can ensure that the energy storage power station can operate stably when the grid voltage and frequency change, avoiding equipment damage or performance degradation caused by grid fluctuations. Through the test, it can be verified whether the voltage / frequency regulation strategy of the energy storage power station is effective and its output performance under different voltage / frequency conditions. The test content of the harmonic content test is to detect the harmonic content injected into the grid by the energy storage power station and evaluate its impact on the power quality of the grid, ensuring that the energy storage power station will not cause harmonic pollution to the grid during grid-connected operation and guaranteeing the power quality of the grid. Through the test, potential harmonic sources of the energy storage power station can be discovered and corresponding measures can be taken to suppress them. The test content of the simulating grid short-circuit fault test is to simulate grid short-circuit faults and evaluate the fault ride-through ability of the energy storage power station and its support for grid stability, ensuring that the energy storage power station can respond quickly when a grid short-circuit fault occurs and provide necessary voltage and frequency support to help the grid quickly return to stability. Through the test, it can be verified whether the short-circuit fault protection strategy of the energy storage power station is effective and its performance under different fault conditions. The test content of the frequency rapid rise / fall test is to simulate the situation of rapid rise or fall of the grid frequency and evaluate the frequency regulation ability of the energy storage power station and its contribution to grid stability, ensuring that the energy storage power station can respond quickly when the grid frequency fluctuates and maintain the grid frequency stable through charge / discharge regulation. Through the test, it can be verified whether the frequency regulation strategy of the energy storage power station is effective and its output performance under different frequency conditions. The test content of the voltage sag test is to simulate the situation of grid voltage sag and evaluate the voltage support ability of the energy storage power station for sensitive loads, ensuring that the energy storage power station can respond quickly when the grid voltage sags and maintain the voltage stability of critical loads through charge / discharge regulation. Through the test, it can be verified whether the voltage support strategy of the energy storage power station is effective and its performance under different voltage sag conditions. The test content of the charge / discharge switching time test is to evaluate the response speed of the energy storage power station when switching between charge and discharge modes, ensuring that the energy storage power station can respond quickly when it needs to quickly switch between charge and discharge modes to meet the real-time regulation requirements of the grid. Through the test, it can be verified whether the charge / discharge switching control strategy of the energy storage power station is effective and its performance under different switching conditions.The test content of the power regulation accuracy test is to evaluate the accuracy and stability of the energy storage power station during power regulation, ensure that the energy storage power station can accurately output the required power during power regulation, and meet the precise control requirements of the power grid. Through the test, it can be verified whether the power regulation strategy of the energy storage power station is effective and its performance under different power regulation conditions. The test content of the long-term operation temperature rise test is to evaluate the temperature rise of the energy storage power station during long-term operation, ensure that the equipment of the energy storage power station will not be damaged or its performance will not decline due to excessive temperature during long-term operation; through the test, it can be verified whether the heat dissipation design of the energy storage power station is reasonable and its temperature rise performance under different operating loads. The test content of the SOC balance test is to evaluate the SOC (state of charge) balance of each battery cluster in the energy storage power station, ensure that the SOC of each battery cluster in the energy storage power station can be maintained in balance during operation, and extend the service life of the battery; through the test, it can be verified whether the balance control strategy of the energy storage power station is effective and its SOC balance performance under different operating conditions. Through the above tests, it can be verified whether the performance indicators of the energy storage power station meet the design requirements, ensure its stable operation in actual operation, and provide reliable power support; moreover, as an important part of the power grid, the performance and reliability of the energy storage power station are directly related to the safety and stability of the power grid. Through the test, potential problems of the energy storage power station can be discovered and solved in time to ensure the normal operation of the power grid.

[0045] S103. Dynamically adjust the multi-stage test parameter thresholds based on real-time data, and evaluate the test results through intelligent algorithms. Exemplarily, through real-time data monitoring, the system can dynamically adjust the parameter thresholds of multi-stage tests to adapt to different test environments and conditions. This flexibility enables the test system to more accurately simulate the real power grid environment and the operating state of the energy storage power station, thereby improving the accuracy and reliability of the test. Dynamically adjusting the parameter thresholds can optimize the test process, reduce unnecessary test steps and time. For example, in some cases, if the system can judge in real time that the performance of the energy storage power station has met the requirements, the test can be terminated in advance to avoid waste of resources caused by overtesting. Real-time data monitoring and dynamic adjustment of parameter thresholds can ensure that the test system always operates in the best state, improving the efficiency and accuracy of the test. By adjusting the test parameters in a timely manner, the system can more effectively capture the performance changes of the energy storage power station and provide more valuable data for subsequent evaluation and analysis.

[0046] In a second aspect, there is provided an energy storage power station grid connection test system, as Figure 2 shown, including: A construction module for constructing a joint simulation model of the energy storage power station and the power grid; A configuration module for pre-configuring multi-dimensional test scenarios; A test module for conducting multi-stage tests; An evaluation module for evaluating test results.

[0047] By building a joint simulation model of the energy storage power station and the power grid, the system can simulate the real power grid environment and the operation status of the energy storage power station, so as to more accurately evaluate the performance of the energy storage power station after grid connection; testing in the simulation model can avoid the risks and costs that may be brought about by testing in the actual power grid, such as equipment damage, power grid fluctuations, etc. The simulation model can be adjusted and expanded according to actual needs to adapt to different types of energy storage power stations and power grid environments. Specifically, by pre-configuring multi-dimensional test scenarios, the performance of the energy storage power station in aspects such as electrical characteristics, power grid adaptability, dynamic response, and comprehensive stability can be comprehensively evaluated.

[0048] Pre-configuring test scenarios can reduce repetitive work and human errors during the test process, improve test efficiency, and flexibly configure test scenarios according to different test requirements and objectives to meet different test requirements.

[0049] Through multi-stage testing, the performance of the energy storage power station can be verified in stages to ensure that the expected effects are achieved in each stage. At the end of each test stage, the test results can be analyzed and evaluated to promptly discover and solve problems, avoiding the accumulation of problems in subsequent stages. Multi-stage testing can ensure the stable operation of the energy storage power station under various working conditions and improve the reliability of the test.

[0050] Through the evaluation module, quantitative analysis can be carried out on the test results to obtain specific performance index data, providing a basis for the optimization and improvement of the energy storage power station. The evaluation results can provide decision-making support for the design, construction, and operation and maintenance of the energy storage power station, helping relevant personnel make more informed decisions.

[0051] Through the evaluation and analysis of the test results, the problems and deficiencies in the energy storage power station technology can be discovered, promoting the continuous progress and innovation of energy storage technology.

[0052] In summary, by building a joint simulation model of the energy storage power station and the power grid, pre-configuring multi-dimensional test scenarios, conducting multi-stage testing, and evaluating test results, the performance and safety of the energy storage power station after grid connection can be comprehensively evaluated to ensure that the energy storage power station can be safely and reliably connected to the power grid.

[0053] In a third aspect, a mobile device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned energy storage power station grid connection test method are implemented.

[0054] Fourthly, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the grid connection test method for the energy storage power station as described above are implemented.

[0055] Fifthly, a computer program product is provided, including computer instructions, and the computer instructions direct a computing device to perform operations corresponding to the grid connection test method for the energy storage power station as described above.

[0056] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than limit the scope of its protection. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that after reading the present invention, various changes, modifications or equivalent replacements can still be made to the specific implementation manners of the invention, but these changes, modifications or equivalent replacements are all within the scope of the protection of the pending claims of the invention.

Claims

1. A method for testing the grid connection of an energy storage power station, characterized in that: include: Constructing a joint simulation model of an energy storage power station and a power grid, and pre-configuring a multi-dimensional test scenario in the joint simulation model of the energy storage power station and a power grid; Conduct multi-stage testing using the pre-configured multi-dimensional test scenarios; Based on real-time data, the multi-stage test parameter thresholds are dynamically adjusted, and the test results are evaluated through intelligent algorithms.

2. The energy storage power station grid connection test method according to claim 1, characterized in that: The energy storage power station and power grid joint simulation model is constructed, and a multi-dimensional test scenario is preconfigured in the energy storage power station and power grid joint simulation model, specifically including: Obtaining the power grid topology; Using the obtained power grid topology structure, a power grid dynamic model is established, and a simulation model is established using power system simulation software; Importing real-time operation data of the power grid into the simulation model to calibrate simulation model parameters; Establish an electrochemical model, calibrate the SOC-SOH curve and charge and discharge efficiency, and build a dual closed-loop control model to define the switching frequency and modulation strategy; Using the modulation strategy defined above, simulate the balancing control logic, thermal management strategy and fault protection mechanism; The simulation model, electrochemical model and dual closed-loop control model are coupled to form a joint simulation model of energy storage power station and power grid; In the energy storage power station and power grid joint simulation model, power grid fault test scenarios, power grid dynamic fluctuation test scenarios, energy storage power station internal abnormality test scenarios and comprehensive operation test scenarios are configured respectively.

3. The energy storage power station grid connection test method according to claim 2, characterized in that: In the grid fault test scenario, different short circuit types, fault locations and durations are set to define the voltage drop depth and recovery time; In the grid dynamic fluctuation test scenario, the frequency deviation caused by the sudden change of renewable energy output is simulated, and the background harmonic content is configured; In the abnormal test scenario inside the energy storage power station, the inconsistency and thermal runaway of the battery cluster are simulated, and the action thresholds of the converter overcurrent and IGBT breakdown protection are set; In the comprehensive operation test scenario, frequency modulation, peak regulation and black start multi-mode switching are simulated, and all-weather continuous charge and discharge cycles are set to monitor the temperature rise and efficiency attenuation of the continuous charge and discharge cycles.

4. The energy storage power station grid connection test method according to claim 1, characterized in that: The multi-stage test is carried out by using the pre-configured multi-dimensional test scenario, specifically including: Using pre-configured multi-dimensional test scenarios, electrical characteristics tests, grid adaptability tests, dynamic response tests and comprehensive stability tests are carried out.

5. The energy storage power station grid connection test method according to claim 4, characterized in that: The electrical characteristics test includes a voltage / frequency adaptability test and a harmonic content test.

6. The energy storage power station grid connection test method according to claim 4, characterized in that: The grid adaptability test includes simulating grid short circuit fault, frequency surge / sag and voltage sag test.

7. A grid-connected test system for an energy storage power station, characterized in that: include: A construction module is used to construct a joint simulation model of an energy storage power station and a power grid; Configuration module, used to preconfigure multi-dimensional test scenarios; Testing module, used to carry out multi-stage testing; Evaluation module, used to evaluate the test results.

8. A mobile device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the energy storage power station grid-connected testing method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the energy storage power station grid connection test method as described in any one of claims 1 to 6 are implemented.

10. A computer program product comprising computer instructions, characterized in that: The computer instructions instruct the computing device to execute operations corresponding to the energy storage power station grid-connected testing method according to any one of claims 1-6.

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