Energy storage equipment processing method and device, storage medium and electronic device

Abstract

The invention discloses a processing method for energy storage equipment, and the method comprises the steps: determining to-be-tested energy storage equipment, and determining the electrical parameters of the energy storage equipment; processing the electrical parameters based on test environment parameters corresponding to the energy storage equipment to obtain target electrical parameters; according to the target electrical parameters, splitting the energy storage device to obtain at least two energy storage sub-devices; and performing a performance test based on the at least two energy storage sub-devices to obtain a test result. The energy storage equipment can be effectively tested in the existing test environment, the capacity bottleneck problem of high-voltage and high-power equipment test is effectively solved, and the test cost and complexity are reduced.

Description

Technical Field

[0001] The present application relates to the technical field of power systems, and in particular to a processing method and device for energy storage equipment, a storage medium, and an electronic device. Background Art

[0002] In the current energy transformation context, high-voltage cascade energy storage systems, as a key technology for power grid peak and frequency regulation and improving the utilization rate of new energy, have been widely used in multiple large-capacity energy storage scenarios such as peak shaving and valley filling, thermal storage combined with AGC frequency regulation, and enhanced stability of new energy power stations due to their high single-machine power, low harmonic content, and high charge-discharge conversion efficiency. However, with the continuous increase in the capacity of high-voltage cascade energy storage systems, how to ensure that the performance parameters of these systems meet industry standards has become a difficult problem facing manufacturers.

[0003] At present, the type test of high-voltage cascade energy storage system mainly relies on test equipment that simulates the power grid environment. However, the capacity of such devices is often limited. The power capacity of traditional energy storage test vehicles generally does not exceed 8MW, and most of them operate at around 6MW. It is difficult to be competent for the test of 35kV-level energy storage equipment with a rated capacity exceeding 8MW, such as 20MW-level high-voltage cascade PCS (energy storage inverter). In addition, even in the manufacturer's own power grid environment, the voltage level and load capacity are very limited, and it is impossible to meet the full-power operation test, such as the test of key performance indicators such as charge and discharge conversion time, active and reactive power control response.

[0004] To solve the above problems, traditional technologies usually build a test platform that includes real equipment and virtual environment, which can simulate various complex working conditions and cover almost all type test requirements. Although this method provides more comprehensive test conditions, its test results may be too idealized and different from the operating effects in the real power grid environment. In addition, the high cost of platform construction and complex communication configuration limit its application in industry standard verification.

[0005] Therefore, a testing method that can perform performance testing on high-power, high-voltage energy storage system types has become an urgent need in the industry. Summary of the invention

[0006] The embodiments of the present application provide a method and device for processing an energy storage device, a storage medium, and an electronic device to at least solve the problem in the related art that it is difficult to effectively test the energy storage device in the existing test environment.

[0007] According to one embodiment of the embodiments of the present application, a method for processing an energy storage device is provided, including: determining an energy storage device to be tested, and determining electrical parameters of the energy storage device; processing the electrical parameters based on test environment parameters corresponding to the energy storage device to obtain target electrical parameters; splitting the energy storage device according to the target electrical parameters to obtain at least two energy storage sub-devices; and performing performance testing based on the at least two energy storage sub-devices to obtain test results.

[0008] In an exemplary embodiment, the test environment parameters include at least the environmental voltage corresponding to the energy storage device; the electrical parameters are processed based on the test environment parameters corresponding to the energy storage device to obtain target electrical parameters, including: based on the environmental voltage and a pre-set equivalent transformation model, the electrical parameters are processed to obtain target electrical parameters.

[0009] In an exemplary embodiment, the equivalent transformation model includes a power calculation expression, a cascade number calculation expression and a reactance calculation expression; the electrical parameters include the rated voltage, rated power, rated reactance and rated cascade number of the energy storage device; the electrical parameters are processed based on the ambient voltage and a pre-set equivalent transformation model to obtain target electrical parameters, including: inputting the ambient voltage, the rated voltage and the rated power into the power calculation expression to determine the target power; inputting the rated cascade number, the ambient voltage and the rated voltage into the cascade number calculation expression to determine the target cascade number; inputting the rated reactance, the ambient voltage and the rated voltage into the reactance calculation expression to determine the target reactance.

[0010] In an exemplary embodiment, the energy storage device is composed of multiple power units in a cascade structure; the target electrical parameters include a target cascade number; the energy storage device is split according to the target electrical parameters to obtain at least two energy storage sub-devices, including: according to the target cascade number, the power unit of the energy storage device is split to obtain at least two energy storage sub-devices.

[0011] In an exemplary embodiment, the test includes an in-plant type test and a grid adaptability test; the performance test based on the at least two energy storage sub-devices is performed to obtain the test results, including: in the in-plant type test, real-time data exchange and coordinated control between the energy storage sub-devices are carried out through high-speed optical fiber communication, and the first test parameter is determined; in the grid adaptability test, any one of the at least two energy storage sub-devices is connected to a grid simulation device, and a grid adaptability test is performed to obtain a second test parameter; based on the first test parameter and the second test parameter, the test result is determined.

[0012] In an exemplary embodiment, the method further includes: comparing and analyzing the first test parameter and the second test parameter with theoretical index parameters of the energy storage device respectively to obtain comparative analysis results, and evaluating the performance of the energy storage sub-device according to the comparative analysis results.

[0013] In an exemplary embodiment, the method further includes: updating component parameters of the energy storage sub-device according to the performance evaluation result, and performing a test based on the energy storage sub-device after the updated component parameters.

[0014] According to another embodiment of the embodiments of the present application, there is also provided a processing device for an energy storage device, including: a determination module, used to determine an energy storage device to be tested, and determine the electrical parameters of the energy storage device; a processing module, used to process the electrical parameters based on the test environment parameters corresponding to the energy storage device, and obtain target electrical parameters; a splitting module, used to split the energy storage device according to the target electrical parameters, and obtain at least two energy storage sub-devices; and a testing module, used to perform performance testing based on the at least two energy storage sub-devices and obtain test results.

[0015] According to another aspect of the embodiments of the present application, a computer-readable storage medium is provided, in which a computer program is stored, wherein the computer program is configured to execute the above method when running.

[0016] According to another aspect of the embodiments of the present application, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the method through the computer program.

[0017] According to another aspect of the embodiments of the present application, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0018] In an embodiment of the present application, an energy storage device to be tested is determined, and the electrical parameters of the energy storage device are determined; based on the test environment parameters corresponding to the energy storage device, the electrical parameters are processed to obtain target electrical parameters; according to the target electrical parameters, the energy storage device is split to obtain at least two energy storage sub-devices; performance testing is performed based on the at least two energy storage sub-devices to obtain test results. Among them, the energy storage device to be tested and its electrical parameters are determined, and the electrical parameters of the energy storage device are processed based on the test environment parameters, and the energy storage device is split according to the target electrical parameters, which ensures that the split energy storage sub-devices can be effectively tested in the existing test environment, effectively solving the capacity bottleneck problem of high-voltage and high-power equipment testing, and reducing the testing cost and complexity. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0020] Figure 1 It is a hardware structure block diagram of a computer terminal of a method for processing an energy storage device according to an embodiment of the present application;

[0021] Figure 2 is a flow chart of a method for generating a processing method of an energy storage device according to an embodiment of the present application;

[0022] Figure 3 is a schematic diagram of an equivalent structure of an energy storage device according to an embodiment of the present application;

[0023] Figure 4 is another flow chart of a processing method for an energy storage device according to an embodiment of the present application;

[0024] Figure 5 It is a structural block diagram of a processing device of an energy storage device according to an embodiment of the present application. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0026] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices; "plurality" means two or more.

[0027] The method embodiments provided in the embodiments of the present application can be executed in a computer terminal or similar computing device or cloud platform or independent physical server or software platform, wherein the above software platform is run through one or more servers. Taking running on a computer terminal as an example, Figure 1 is a hardware structure block diagram of a processing method for an energy storage device according to an embodiment of the present application. Figure 1 As shown, the computer terminal may include one or more ( Figure 1 Only one is shown in the figure) processor 102 and memory 104 for storing data. In an exemplary embodiment, the computer terminal may also include a transmission device 106 for communication functions and an input and output device 108, wherein the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA. A person skilled in the art can understand that Figure 1 The structure shown is only for illustration and does not limit the structure of the above-mentioned computer terminal. Figure 1 More or fewer components as shown, or with Figure 1 Equivalent functions or comparisons shown Figure 1 A different configuration with more features is shown.

[0028] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as computer programs corresponding to the methods in the embodiments of the present application. The processor 102 executes various functional applications and data processing by running the computer programs stored in the memory 104, that is, the above-mentioned methods are implemented. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the computer terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0029] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of a computer terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0030] In this embodiment, a method for processing an energy storage device is provided, which is applied to the above-mentioned computer device. Figure 2 : is a flowchart of a processing method for an energy storage device according to an embodiment of the present application, the process includes the following steps:

[0031] Step S202, determining an energy storage device to be tested, and determining electrical parameters of the energy storage device;

[0032] Step S204, processing the electrical parameters based on the test environment parameters corresponding to the energy storage device to obtain target electrical parameters;

[0033] Step S206, splitting the energy storage device according to the target electrical parameters to obtain at least two energy storage sub-devices;

[0034] Step S208: performing a performance test based on the at least two energy storage sub-devices to obtain a test result.

[0035] In an embodiment of the present application, an energy storage device to be tested is determined, and the electrical parameters of the energy storage device are determined; based on the test environment parameters corresponding to the energy storage device, the electrical parameters are processed to obtain target electrical parameters; according to the target electrical parameters, the energy storage device is split to obtain at least two energy storage sub-devices; performance testing is performed based on the at least two energy storage sub-devices to obtain test results. Among them, the energy storage device to be tested and its electrical parameters are determined, and the electrical parameters of the energy storage device are processed based on the test environment parameters, and the energy storage device is split according to the target electrical parameters, which ensures that the split energy storage sub-devices can be effectively tested in the existing test environment, effectively solving the capacity bottleneck problem of high-voltage and high-power equipment testing, and reducing the testing cost and complexity.

[0036] In an exemplary embodiment, the test environment parameters include at least the environmental voltage corresponding to the energy storage device; the electrical parameters are processed based on the test environment parameters corresponding to the energy storage device to obtain target electrical parameters, including: based on the environmental voltage and a pre-set equivalent transformation model, the electrical parameters are processed to obtain target electrical parameters.

[0037] It should be noted that electrical parameters may include the rated voltage, rated current, rated power, power factor, harmonic content, etc. of energy storage equipment. These parameters are the basis for equipment design and operation, and are also an important basis for subsequent equivalent capacity testing.

[0038] The key parameter in the test environment parameters may be the environmental voltage, that is, the voltage level that the test site can provide. For example, if the test site can only support a voltage level of 6kV or 10kV, then the environmental voltage is 6kV or 10kV. This parameter will serve as an important basis for adjusting the target electrical parameters to ensure that the test results at different voltage levels can still reflect the performance of the equipment at the design voltage level (such as 35kV).

[0039] Specifically, under the model framework, the ambient voltage and the electrical parameters of the original equipment are used as inputs, and the pre-set mathematical expressions are applied for calculation to obtain the target electrical parameters. For example, if the rated voltage of the original equipment is 35kV and the ambient voltage is 6kV, the calculation of the target electrical parameters may involve adjusting the cascade number, inductance, capacitance and other parameters to ensure that key indicators such as the rated current remain unchanged.

[0040] In some instances, after the target electrical parameters are determined, preliminary verification can be performed to ensure that the target electrical parameters are set to meet the test conditions and will not affect the performance and safety of the equipment. This may include a small-scale pre-test to check whether the energy storage device can achieve the expected key performance indicators such as charge-discharge conversion time and power control response under the target electrical parameters.

[0041] In the above embodiment, the electrical parameters of the energy storage device can be reasonably adjusted based on the ambient voltage and the pre-set equivalent transformation model, so as to obtain the target electrical parameters suitable for the specific test environment. This not only ensures the smooth progress of the test process, but also accurately evaluates the performance of the device under actual working conditions, providing strong support for the research and development, manufacturing and application of energy storage devices.

[0042] In an exemplary embodiment, the equivalent transformation model includes a power calculation expression, a cascade number calculation expression, and a reactance calculation expression; the electrical parameters include a rated voltage, a rated power, a rated reactance, and a rated cascade number of the energy storage device;

[0043] The electrical parameters are processed based on the ambient voltage and a pre-set equivalent transformation model to obtain target electrical parameters, including: inputting the ambient voltage, the rated voltage, and the rated power into the power calculation expression to determine the target power; inputting the rated cascade number, the ambient voltage, and the rated voltage into the cascade number calculation expression to determine the target cascade number; inputting the rated reactance, the ambient voltage, and the rated voltage into the reactance calculation expression to determine the target reactance.

[0044] Among them, the equivalent transformation model aims to effectively convert the electrical parameters of the original equipment under a specific environmental voltage through mathematical expressions, ensuring that even under different voltage levels or capacity restrictions, the test results can still reflect the performance of the equipment under design conditions. This includes keeping the rated current unchanged and adjusting parameters such as power, cascade number and reactance to adapt to the limitations of the test environment.

[0045] The power calculation expression takes the ambient voltage, the original equipment rated voltage and the rated power as input parameters to determine the target power at the new voltage level. Substitute the ambient voltage (such as 6kV or 10kV) and the original equipment rated voltage (such as 35kV) and rated power (such as 20MW) into the power calculation expression.

[0046] The cascade number calculation expression is used to determine the target cascade number of the device under the new voltage level based on the ambient voltage, the original device rated voltage and the original device rated cascade number. Substitute the original device's rated cascade number, ambient voltage and rated voltage into the cascade number calculation expression.

[0047] The reactance calculation expression is used to calculate the parameters of the equivalent reactor under the new voltage level to ensure the consistency of electrical characteristics. Substitute the rated reactance, ambient voltage and rated voltage of the original equipment into the reactance calculation expression.

[0048] Through the above three calculation expressions, the electrical parameters of the original equipment can be converted into target electrical parameters suitable for a specific test environment, including target power, target cascade number and target reactance. During the processing, it is necessary to ensure that the inherent connection and mutual exclusion conditions between the electrical parameters are met. For example, when adjusting the cascade number and reactance, their effects on the target power should be taken into account.

[0049] After the electrical parameter processing is completed, a set of target electrical parameters suitable for the test environment will be obtained, including but not limited to rated voltage, power, number of cascades and reactance. These parameters will be used to guide the splitting and reorganization of energy storage equipment, ensuring that even after a high-voltage cascade energy storage system with a rated capacity of more than 8MW at 35kV level is split into 6 / 10kV subsystems, it can still maintain the same electrical characteristics as the original system, especially the rated current, thereby ensuring the accuracy and reliability of the test results and effectively overcoming the capacity bottleneck problem in the type test of high-power energy storage systems.

[0050] In an exemplary embodiment, the energy storage device is composed of multiple power units in a cascade structure; the target electrical parameters include a target cascade number; the energy storage device is split according to the target electrical parameters to obtain at least two energy storage sub-devices, including: according to the target cascade number, the power unit of the energy storage device is split to obtain at least two energy storage sub-devices.

[0051] Among them, for high-power and high-voltage energy storage devices with cascade structures, multiple power modules (PMs) are connected in series to achieve high voltage and high power output. When performing equivalent capacity testing, the target cascade number in the target electrical parameters is one of the key parameters, which directly determines how the original device is split into multiple sub-devices and how the electrical characteristics of these sub-devices are consistent with the original device.

[0052] The cascade structure allows multiple power units to be connected in series, thereby achieving voltage and power improvement. In the original equipment, each power unit is responsible for processing a part of the voltage and power, and the high voltage and high power characteristics of the entire system are the result of the joint action of multiple power units.

[0053] The power unit is the basic component of the energy storage device. Each unit contains electrical components such as active inverters, reactors, capacitors, etc., which are used to convert and store electrical energy. In the cascade structure, the number of power units determines the voltage level and power capacity of the device.

[0054] The power units in the original energy storage device are split according to the target cascade number. For example, if the rated cascade number of the original energy storage device is 48 and the target cascade number is 9, the power units of the original energy storage device need to be split into 5 groups, each containing 9 power units, or a more flexible splitting scheme, such as two groups each containing 9 power units for parallel testing.

[0055] During the splitting process, it is necessary to ensure that the rated current of each energy storage sub-device is the same as that of the original device, which is one of the target electrical parameters calculated by the equivalent transformation model. In addition, the electrical characteristics of each sub-device, such as reactance, capacitance, active and reactive power control strategy, etc., should also be ensured to be equivalent to the original device to ensure the accuracy and comparability of the test results.

[0056] In the above embodiment, the power unit of the energy storage device is split according to the target cascade number to form at least two energy storage sub-devices, so as to ensure that effective high-power and high-voltage energy storage device type testing can be carried out even when the site voltage level and the capacity of the test equipment are limited.

[0057] In an exemplary embodiment, the test includes an in-plant type test and a grid adaptability test; the performance test based on the at least two energy storage sub-devices is performed to obtain the test results, including: in the in-plant type test, real-time data exchange and coordinated control between the energy storage sub-devices are carried out through high-speed optical fiber communication, and the first test parameter is determined; in the grid adaptability test, any one of the at least two energy storage sub-devices is connected to a grid simulation device, and a grid adaptability test is performed to obtain a second test parameter; based on the first test parameter and the second test parameter, the test result is determined.

[0058] In an exemplary embodiment, during the in-factory type test, high-speed fiber optic communication technology is used to achieve real-time data exchange and coordinated control between energy storage sub-devices. Each energy storage sub-device is split from the original high-voltage cascade energy storage device and has an independent power electronic converter, inductor and capacitor components, and a control unit. Through high-speed fiber optic communication, each sub-device can share information such as charging and discharging status, current and voltage data, and control instructions in real time to ensure current balancing and control synchronization during parallel operation. For example, if two energy storage sub-devices are undergoing full-power operation tests, they need to quickly adjust active and reactive power according to real-time load demand to maintain the stability of the power grid.

[0059] The first test parameters usually include charge-discharge conversion time, power control response, harmonic content, efficiency, etc. These parameters directly reflect the electrical performance of the energy storage sub-device. In the factory type test, the tester will simulate different charging and discharging conditions according to the national standard requirements, such as fast conversion from full charge to full discharge, fast response from different power levels to full power, and efficiency and harmonic tests at different operating points. Through these tests, the first test parameters can be collected, that is, the performance data of the energy storage sub-device under specific conditions.

[0060] The grid adaptability test is to evaluate the behavior and performance of energy storage equipment when facing complex working conditions such as grid failures, frequency fluctuations, and voltage mutations. At this stage, the test personnel will select at least one energy storage sub-device, connect it to the grid simulation device, and simulate various grid failures and disturbances to verify the grid adaptability and fault ride-through capability of the equipment. For example, when performing high and low penetration tests, the grid voltage will be simulated to suddenly drop or rise outside the specified range to test whether the energy storage sub-device can respond quickly and maintain grid voltage stability; the frequency response test simulates the change of grid frequency to test the frequency tracking and regulation capabilities of the energy storage device.

[0061] The second test parameters, including the equipment's fault ride-through capability, frequency response time, voltage adaptability range, etc., reflect the performance of the energy storage equipment under grid fault and disturbance conditions. Through the grid adaptability test, the second test parameters, i.e., the performance data of the energy storage sub-equipment under simulated grid fault conditions, can be collected.

[0062] In an exemplary embodiment, the method further includes: comparing and analyzing the first test parameter and the second test parameter with theoretical index parameters of the energy storage device respectively to obtain comparative analysis results, and evaluating the performance of the energy storage sub-device according to the comparative analysis results.

[0063] The theoretical index parameters of energy storage equipment are usually derived based on ideal models during the design phase. These parameters include but are not limited to charge and discharge conversion time, power control response speed, harmonic content, efficiency, fault ride-through capability, frequency response time, and voltage adaptation range. These theoretical indicators reflect the design goals of the equipment and are also important benchmarks for measuring whether the equipment performance meets the standards. Designers will set a series of theoretical index parameters based on the intended use of the equipment (such as peak shaving and valley filling, thermal storage combined with AGC frequency modulation, and improved utilization of new energy power stations) and relevant industry standards.

[0064] After completing the in-plant type test and grid adaptability test, the testers will extract the first test parameter and the second test parameter from the test data. The first test parameter reflects the performance of the energy storage sub-device under normal charging and discharging conditions, including charge and discharge conversion time, power control response speed, charge and discharge efficiency, and harmonic content. The second test parameter focuses on evaluating the performance of the energy storage sub-device under grid fault and disturbance conditions, such as fault ride-through time, frequency response speed, and voltage adaptability range.

[0065] The acquisition of comparative analysis results is a process of comparing the first test parameters and the second test parameters with the theoretical index parameters in detail. The deviations between the first test parameters and the second test parameters and the corresponding theoretical index parameters are calculated, including absolute deviations and relative deviations. The changing trends of the first test parameters and the second test parameters under different working conditions are analyzed and compared with the changing trends of the theoretical index parameters. Based on the deviation and trend analysis results, it is evaluated whether the performance of the energy storage sub-equipment meets the theoretical design requirements and whether it complies with industry standards.

[0066] Based on the comparative analysis results, evaluate the performance of the energy storage sub-device. This evaluation should cover multiple dimensions: check whether the actual parameters of the energy storage sub-device are within the allowable range of the theoretical index parameters. If both the first test parameter and the second test parameter meet the requirements of the theoretical index parameters, then the equipment meets the standards in terms of charging and discharging efficiency, fault ride-through capability, and grid adaptability. Analyze the consistency of the test data to ensure that the performance of the energy storage sub-device remains stable in different test environments and does not fluctuate significantly due to environmental factors. In the grid adaptability test, special attention is paid to the safety performance of the equipment in the face of grid faults such as voltage mutations and frequency fluctuations, including overcurrent protection, overvoltage protection, etc.

[0067] In an exemplary embodiment, the method further includes: the method further includes: updating component parameters of the energy storage sub-device according to the performance evaluation result, and testing the energy storage sub-device based on the updated component parameters.

[0068] In order to better understand the process of the processing method of the above energy storage device, the processing method of the above energy storage device is described below in combination with an optional embodiment, but it is not used to limit the technical solution of the embodiment of the present application.

[0069] High-voltage cascade energy storage systems have been widely used in a variety of large-capacity energy storage scenarios, such as peak shaving and valley filling, thermal storage combined with AGC frequency modulation, and new energy power stations to improve utilization rates. The relevant national standards for energy storage converters also put forward clear requirements for the relevant technical indicators of energy storage converters. However, there is still a problem in the industry on how to conduct type tests on 35kV-level systems with a single-unit rated capacity of 5 to 30MW. This application provides a high-power high-voltage energy storage PCS equivalent capacity test method, which can solve the industry pain point of type testing of high-power energy storage systems without changing the power grid simulation device. It can also be used for high-power testing of products in the factory, with low cost, simple implementation method, and strong practicability and reliability.

[0070] This application can solve the industry pain point of type testing of high-power energy storage systems without changing the power grid simulation device. It can also be used for high-power testing of products in the factory. It has low cost, simple implementation method, and strong practicability and reliability.

[0071] like Figure 3 As shown in the figure, it is a schematic diagram of the equivalent structure of the high-voltage cascade energy storage system. On the left is a 35kV high-voltage cascade energy storage system with voltages of Vsa, Vsb, and Vsc and a rated power of P N , cascade number is N, grid-connected reactor L0, SM1-SM N For cascaded power units, according to the rated current equivalent principle, the 6 / 10kV high-voltage cascade energy storage system on the right is obtained, with voltages of Vsa1, Vsb1, and Vsc1, and the target power is P M , cascade number is P, grid-connected reactor L1, SM1-SM P is a cascaded power unit, where:

[0072]

[0073] Among them, V sabc Corresponding to 35KV voltage level, that is, rated voltage, V sabc1 Corresponding to the 6 / 10kV voltage level, that is, the ambient voltage. The above three formulas provide the parameter equivalent calculation method for splitting the 35kV high-voltage cascade energy storage system into a 6 / 10kV energy storage system. By reducing the system voltage level and the number of cascades, the rated current of the PCS after the split is guaranteed to be the same as that of the PCS before the split, which can ensure that the per-unit value of the test result is consistent with the test standard requirements.

[0074] Assuming that the capacity of the 35kV high-voltage cascade energy storage system is 20MW, the number of cascades is N=48, and L0 is the grid-connected reactor, then the equivalent 6kV high-voltage cascade energy storage system is 3.43MW, the number of cascades is 9, and L1=0.1714L0.

[0075] When conducting in-factory type tests, two PCSs are connected in parallel through high-speed fiber optic communication. At the same time, the rated current of the two PCSs remains the same as that of the 35kV equipment to be tested, and the rated power-related tests are all tested according to 3.43MW. When conducting type tests such as high and low penetration and grid adaptability that require a grid-connected test vehicle, it is only necessary to connect a separately split PCS to the grid-connected test vehicle for the corresponding type test.

[0076] The above equivalent test can solve the industry pain point of type testing of high-power energy storage systems without changing the power grid simulation device. It can also be used for high-power testing of high-voltage cascade energy storage products in the factory. It will not cause current overload during the test, has low cost, simple implementation method, and strong practicability and reliability.

[0077] This application also provides a high-power high-voltage energy storage PCS equivalent capacity test flow chart, reference Figure 4 As shown, according to the basic parameters of the primary main circuit of the PCS to be tested, such as the rated power P N , rated voltage, rated current I N And grid-connected reactor L0. Determine the equivalent equipment parameters according to the site test conditions such as voltage level, site area, etc. Refer to the equivalent transformation formula to determine the effectiveness of the test method and make parameter adjustments and corrections in a timely manner. When the test method is confirmed to be effective, build a type test platform and a high and low penetration test platform according to the equivalent PCS equipment parameters. Refer to the national standard to conduct the converter type test. If the type test can be carried out, including high and low penetration, frequency modulation and other results, check the test results and complete the test.

[0078] Beneficial effects brought by this technical solution: This application adopts a high-power high-voltage energy storage PCS equivalent capacity test method. The basic idea is to split the 35kV high-voltage cascade energy storage system into a 6 / 10kV energy storage system, reduce the number of system cascades, and ensure that the rated current of the PCS after the split is the same as that of the PCS before the split. When conducting in-factory type tests, two PCSs are connected in parallel through high-speed optical fiber communication, and the rated current of the two PCSs remains the same as that of the 35kV equipment to be tested; when conducting type tests such as high and low penetration and grid adaptability that require a grid simulation device, it is only necessary to connect a separately split PCS to the grid simulation device for the corresponding type test.

[0079] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods of each embodiment of the present application.

[0080] The present application also provides a structural block diagram of a processing device for an energy storage device. Figure 5 is a structural block diagram of a processing device for an energy storage device according to an embodiment of the present application; Figure 5 As shown, including:

[0081] A determination module 52, used to determine the energy storage device to be tested and determine the electrical parameters of the energy storage device;

[0082] A processing module 54, configured to process the electrical parameters based on the test environment parameters corresponding to the energy storage device to obtain target electrical parameters;

[0083] A splitting module 56, configured to split the energy storage device according to the target electrical parameters to obtain at least two energy storage sub-devices;

[0084] The testing module 58 is used to perform a performance test based on the at least two energy storage sub-devices to obtain a test result.

[0085] Through the above-mentioned device, the energy storage device to be tested is determined, and the electrical parameters of the energy storage device are determined; based on the test environment parameters corresponding to the energy storage device, the electrical parameters are processed to obtain the target electrical parameters; according to the target electrical parameters, the energy storage device is split to obtain at least two energy storage sub-devices; based on the at least two energy storage sub-devices, performance tests are performed to obtain test results. Among them, the energy storage device to be tested and its electrical parameters are determined, and the electrical parameters of the energy storage device are processed based on the test environment parameters, and the energy storage device is split according to the target electrical parameters, which ensures that the split energy storage sub-devices can be effectively tested in the existing test environment, effectively solving the capacity bottleneck problem of high-voltage and high-power equipment testing, and reducing the testing cost and complexity.

[0086] In an exemplary embodiment, the test environment parameters at least include the environment voltage corresponding to the energy storage device; the processing module 54 is further used to process the electrical parameters based on the environment voltage and a preset equivalent transformation model to obtain target electrical parameters.

[0087] In an exemplary embodiment, the equivalent transformation model includes a power calculation expression, a cascade number calculation expression and a reactance calculation expression; the electrical parameters include the rated voltage, rated power, rated reactance and rated cascade number of the energy storage device; the processing module 54 is also used to input the ambient voltage, the rated voltage and the rated power into the power calculation expression to determine the target power; input the rated cascade number, the ambient voltage and the rated voltage into the cascade number calculation expression to determine the target cascade number; input the rated reactance, the ambient voltage and the rated voltage into the reactance calculation expression to determine the target reactance.

[0088] In an exemplary embodiment, the energy storage device is composed of multiple power units in a cascade structure; the target electrical parameters include a target cascade number; the splitting module 56 is also used to split the power unit of the energy storage device according to the target cascade number to obtain at least two energy storage sub-devices.

[0089] In an exemplary embodiment, the test module 58 is also used to carry out real-time data exchange and coordinated control between the energy storage sub-devices through high-speed optical fiber communication during the in-factory type test, and determine the first test parameter;

[0090] In the grid adaptability test, any one of the at least two energy storage sub-devices is connected to the grid simulation device, and a grid adaptability test is performed to obtain a second test parameter; based on the first test parameter and the second test parameter, a test result is determined.

[0091] In an exemplary embodiment, the device further includes an evaluation module for comparing and analyzing the first test parameter and the second test parameter with theoretical index parameters of the energy storage device, respectively, to obtain comparative analysis results, and to evaluate the performance of the energy storage sub-device according to the comparative analysis results.

[0092] An embodiment of the present application further provides a storage medium, which includes a stored program, wherein the program executes any of the above methods when it is run.

[0093] Optionally, in this embodiment, the storage medium may be configured to store program codes for executing the following steps:

[0094] S1, determining an energy storage device to be tested, and determining electrical parameters of the energy storage device;

[0095] S2, processing the electrical parameters based on the test environment parameters corresponding to the energy storage device to obtain target electrical parameters;

[0096] S3, splitting the energy storage device according to the target electrical parameters to obtain at least two energy storage sub-devices;

[0097] S4, performing performance testing based on the at least two energy storage sub-devices to obtain test results.

[0098] An embodiment of the present application further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0099] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0100] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0101] S1, determining an energy storage device to be tested, and determining electrical parameters of the energy storage device;

[0102] S2, processing the electrical parameters based on the test environment parameters corresponding to the energy storage device to obtain target electrical parameters;

[0103] S3, splitting the energy storage device according to the target electrical parameters to obtain at least two energy storage sub-devices;

[0104] S4, performing performance testing based on the at least two energy storage sub-devices to obtain test results.

[0105] Optionally, in this embodiment, the above-mentioned storage medium may include but is not limited to: a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and other media that can store program codes.

[0106] An embodiment of the present application further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the steps in any one of the above method embodiments are implemented.

[0107] An embodiment of the present application further provides another computer program product, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0108] An embodiment of the present application also provides a computer program, which includes computer instructions stored in a computer-readable storage medium; a processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the steps in any one of the above method embodiments.

[0109] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0110] Obviously, those skilled in the art should understand that the above modules or steps of the present application can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, and optionally, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order from that herein, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

[0111] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for processing an energy storage device, characterized in that: include: Determining an energy storage device to be tested, and determining electrical parameters of the energy storage device; Based on the test environment parameters corresponding to the energy storage device, the electrical parameters are processed to obtain target electrical parameters; According to the target electrical parameters, the energy storage device is split to obtain at least two energy storage sub-devices; A performance test is performed based on the at least two energy storage sub-devices to obtain a test result.

2. The method according to claim 1, characterized in that The test environment parameters include at least the environmental voltage corresponding to the energy storage device; The step of processing the electrical parameters based on the test environment parameters corresponding to the energy storage device to obtain target electrical parameters includes: Based on the environmental voltage and a preset equivalent transformation model, the electrical parameters are processed to obtain target electrical parameters.

3. The method according to claim 2, characterized in that The equivalent transformation model includes a power calculation expression, a cascade number calculation expression and a reactance calculation expression; the electrical parameters include the rated voltage, rated power, rated reactance and rated cascade number of the energy storage device; The processing of the electrical parameters based on the ambient voltage and a preset equivalent transformation model to obtain target electrical parameters includes: Input the ambient voltage, the rated voltage, and the rated power into the power calculation expression to determine the target power; Inputting the rated cascade number, the ambient voltage, and the rated voltage into the cascade number calculation expression to determine a target cascade number; The rated reactance, the ambient voltage, and the rated voltage are input into the reactance calculation expression to determine a target reactance.

4. The method according to claim 1, characterized in that: The energy storage device is composed of a plurality of power units in a cascade structure; the target electrical parameter includes a target cascade number; the energy storage device is split according to the target electrical parameter to obtain at least two energy storage sub-devices, including: According to the target cascade number, the power unit of the energy storage device is split to obtain at least two energy storage sub-devices.

5. The method according to claim 1, characterized in that The tests include in-plant type tests and grid adaptability tests; The performing of a performance test based on the at least two energy storage sub-devices to obtain a test result includes: In the in-factory type test, real-time data exchange and coordinated control between the energy storage sub-devices are carried out through high-speed optical fiber communication, and the first test parameters are determined; In the grid adaptability test, any one of the at least two energy storage sub-devices is connected to the grid simulation device, and a grid adaptability test is performed to obtain a second test parameter; Based on the first test parameter and the second test parameter, a test result is determined.

6. The method according to claim 5, characterized in that The method further comprises: The first test parameter and the second test parameter are respectively compared and analyzed with theoretical index parameters of the energy storage device to obtain comparative analysis results, and the performance of the energy storage sub-device is evaluated according to the comparative analysis results.

7. The method according to claim 1, characterized in that The method further comprises: According to the performance evaluation result, the component parameters of the energy storage sub-device are updated, and the energy storage sub-device with the updated component parameters is tested.

8. A processing device for energy storage equipment, characterized in that: include: A determination module, used to determine an energy storage device to be tested and determine electrical parameters of the energy storage device; A processing module, used to process the electrical parameters based on the test environment parameters corresponding to the energy storage device to obtain target electrical parameters; A splitting module, used to split the energy storage device according to the target electrical parameters to obtain at least two energy storage sub-devices; The test module is used to perform performance tests based on the at least two energy storage sub-devices to obtain test results.

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

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

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