Simulation method, device, equipment, medium and product of black start technology

Abstract

The present disclosure relates to the technical field of network-constructing energy storage, and particularly relates to a black start technology simulation method, device, equipment, medium and product. The method comprises: performing simulated power failure processing on a built power system according to a preset target fault type; starting an energy storage converter and adjusting parameters of the energy storage converter according to a control strategy; starting an auxiliary converter and adjusting parameters of the auxiliary converter according to the control strategy; starting the electronic load when the energy storage converter and the auxiliary converter are in a stable output state, increasing the load of the electronic load according to a load recovery strategy, and continuously collecting operation data of the power system under different loads; and updating the control strategy of the energy storage converter and the auxiliary converter and the load recovery strategy based on the operation data. The preset target fault type can cover multiple faults, and fault simulation and fault recovery are performed on each fault type one by one, which is conducive to improving the comprehensiveness of the simulation results.

Description

Technical Field

[0001] This disclosure relates to the field of grid-type energy storage technology, and in particular to a simulation method, apparatus, equipment, medium and product for black start technology. Background Technology

[0002] Black start technology, a core function of grid-based energy storage technology, has been widely mentioned by researchers in the past two years. Black start technology refers to the process by which the power grid uses internally generated generators with self-starting capabilities to drive generators without self-starting capabilities, ultimately restoring power to the entire power system.

[0003] Implementing black-start technology is an extremely complex, high-risk process that requires meticulous planning and repeated drills. Therefore, to ensure accurate operation in the event of actual power system faults, related technologies typically utilize simulation platforms to simulate black-start techniques. However, these simulation methods construct relatively simple and unrealistic scenarios, covering a limited range of fault types, and the accuracy and comprehensiveness of the simulation results are low, lacking practical guidance. Summary of the Invention

[0004] In view of the above problems, this disclosure is made to provide a method, apparatus, device, medium and product for simulating black start technology.

[0005] According to one aspect of this disclosure, a method for simulating black boot technology is provided, comprising:

[0006] Based on the preset target fault type, a simulated power outage is performed on the constructed power system; the power system includes an energy storage converter, an auxiliary converter, and electronic loads;

[0007] Start the energy storage converter and adjust its parameters according to its control strategy; start the auxiliary converter and adjust its parameters according to its control strategy.

[0008] When the energy storage converter and the auxiliary converter are in a stable output state, the electronic load is started, the load of the electronic load is increased according to the preset load recovery strategy, and the operating data of the power system under different loads are continuously collected.

[0009] Based on the operational data, update the control strategies for the energy storage converter and the auxiliary converter, as well as the load recovery strategy.

[0010] Furthermore, the simulation method for black-start technology according to one aspect of this disclosure further includes: the auxiliary converter comprising a photovoltaic converter and / or a doubly-fed wind power converter;

[0011] The control strategy for the photovoltaic converter is a maximum power point tracking strategy, the control strategy for the doubly-fed wind power converter is a speed control strategy, and the control strategy for the energy storage converter is a charge-discharge control strategy.

[0012] Furthermore, according to the black-start simulation method of one aspect of this disclosure, after updating the control strategies of the energy storage converter and the auxiliary converter, as well as the load recovery strategy based on the operating data, the method further includes:

[0013] Repeat the steps of simulating a power outage on the constructed power system according to the preset target fault type until the recovery status of the power system under the target fault type meets the preset conditions.

[0014] Furthermore, according to the black-start simulation method of one aspect of this disclosure, before updating the control strategies of the energy storage converter and the auxiliary converter, and the load recovery strategy based on the operating data, the method further includes:

[0015] When the load of the electronic load increases to meet the preset conditions, the operating data of the power system is monitored to confirm that the power system is in a stable operating state.

[0016] Furthermore, the black-start technology simulation method according to one aspect of this disclosure further includes: connecting the energy storage converter, the auxiliary converter, and the electronic load to the simulation experimental platform, the connection including electrical connection and communication connection;

[0017] The simulation platform is started and a preset black-start technology scenario model is loaded. The scenario model includes the topology diagram, parameters, and preset fault types of the energy storage converter, auxiliary converter, and electronic load.

[0018] Furthermore, the simulation method for black-start technology according to one aspect of this disclosure further includes: recording and analyzing the collected operating data, the operating data including the power system's own data, the operating parameters of the energy storage converter, the auxiliary converter, and the electronic load;

[0019] After the simulation is completed, disconnect the energy storage converter, auxiliary converter, and electronic load from the simulation experimental platform.

[0020] According to another aspect of this disclosure, a simulation device for black-start technology is provided, comprising:

[0021] The fault simulation module is used to simulate power outages in the constructed power system according to preset target fault types; the power system includes an energy storage converter, an auxiliary converter, and electronic loads.

[0022] The simulation recovery module is used to start the energy storage converter and adjust its parameters according to its control strategy; and to start the auxiliary converter and adjust its parameters according to its control strategy.

[0023] The load simulation module is used to start the electronic load when the energy storage converter and the auxiliary converter are in a stable output state, increase the load of the electronic load according to a preset load recovery strategy, and continuously collect the operating data of the power system under different loads.

[0024] The strategy optimization module is used to update the control strategies of the energy storage converter and the auxiliary converter, as well as the load recovery strategy, based on the operating data.

[0025] According to another aspect of this disclosure, a computer device is provided, including a memory, a processor, and a computer program stored in the memory, the processor executing the computer program to implement the method of one aspect above.

[0026] According to another aspect of this disclosure, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the method of one aspect above.

[0027] According to another aspect of this disclosure, a computer program product is provided, including a computer program that, when executed by a processor, implements the method of the above-described aspect.

[0028] As will be described in detail below, a simulation method, apparatus, device, medium, and product for black start technology according to embodiments of this disclosure can cover multiple fault types by pre-setting target fault types. Fault simulation and recovery are performed on each fault type individually to obtain operational optimization strategies for the power system under different fault types, which helps improve the comprehensiveness of the simulation results. Electronic loads can introduce random factors during simulation, such as switching load types or sudden load switching (suddenly putting on or cutting off loads). For example, the impact of the impact load on black start in a steel plant can be simulated, which can improve the realism of the constructed power system scenario and improve the accuracy of the simulation results.

[0029] It should be understood that both the foregoing general description and the following detailed description are exemplary and intended to provide further illustration of the claimed technology. Attached Figure Description

[0030] The above and other objects, features, and advantages of this disclosure will become more apparent from the more detailed description of the embodiments thereof in conjunction with the accompanying drawings. The drawings are provided to further illustrate the embodiments of this disclosure and form part of the specification. They are used together with the embodiments of this disclosure to explain the disclosure and do not constitute a limitation thereof. In the drawings, the same reference numerals generally represent the same components or steps.

[0031] Figure 1 This is a system architecture diagram illustrating a simulation method of black-start technology provided according to an embodiment of the present disclosure.

[0032] Figure 2 This is a flowchart illustrating a simulation method of the black-start technology provided in an embodiment of this disclosure.

[0033] Figure 3 This is a topology diagram of an energy storage converter applied according to an embodiment of the present disclosure.

[0034] Figure 4 This is a topology diagram of a doubly fed wind power converter according to an embodiment of the present disclosure.

[0035] Figure 5 This is a topology diagram of an electronic load applied according to an embodiment of the present disclosure.

[0036] Figure 6 This is another flowchart illustrating a simulation method of the black start technology provided in an embodiment of this disclosure.

[0037] Figure 7 This is a schematic diagram of the structure of a simulation device for black-start technology according to an embodiment of the present disclosure.

[0038] Figure 8 This is a schematic diagram illustrating the structure of a computer device according to an embodiment of the present disclosure.

[0039] Figure 9 This is a schematic diagram illustrating a computer program product according to an embodiment of the present disclosure. Detailed Implementation

[0040] To make the objectives, technical solutions, and advantages of this disclosure more apparent, exemplary embodiments according to this disclosure will now be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this disclosure, and not all embodiments of this disclosure. It should be understood that this disclosure is not limited to the exemplary embodiments described herein.

[0041] Black start technology, a core function of grid-based energy storage technology, has been widely discussed by researchers in the past two years. Black start technology refers to the grid using internally self-starting generators to drive units without self-starting capabilities, ultimately restoring power to the entire power system. Simply put, the purpose of black start is to start up more generating power sources as quickly as possible, thereby restoring more generating capacity. The overall goal of power system restoration is to restore as much load as possible in the shortest possible time. This requires as many units as possible to resume output in the shortest possible time; therefore, timeliness and available generating capacity are priority factors. The former reflects the speed of unit startup, while the latter reflects how much power the units can supply to the load.

[0042] Implementing black-start technology is an extremely complex, high-risk process that requires meticulous planning and repeated drills. Therefore, to ensure accurate operation in the event of actual power system faults, related technologies typically utilize simulation platforms to simulate black-start techniques. However, these simulation methods construct relatively simple and unrealistic scenarios, covering a limited range of fault types, and the accuracy and comprehensiveness of the simulation results are low, lacking practical guidance.

[0043] The above description, with reference to the accompanying drawings, illustrates a simulation method, apparatus, device, medium, and product for black-start technology according to embodiments of the present disclosure. This method can cover multiple fault types, performing fault simulation and recovery for each fault type individually, thereby obtaining operational optimization strategies for the power system under different fault types, which is beneficial for improving the comprehensiveness of the simulation results. By using electronic loads, random factors can be introduced during the simulation, such as switching load types or sudden load switching (suddenly adding or removing loads). For example, the impact of the impact load on black-start in a steel plant can be simulated, which can improve the realism of the constructed power system scenario and improve the accuracy of the simulation results.

[0044] Three converter combination scenarios are provided: energy storage converter + photovoltaic converter, energy storage converter + doubly-fed wind power converter, and energy storage converter + photovoltaic converter + doubly-fed wind power converter. Different converter ratios can be deployed to change the operating scenario based on pre-defined scenarios or actual power system scenarios, ensuring consistency between the simulated and actual black start processes.

[0045] In addition, multiple combined scenarios can be integrated through a unified scenario management platform to achieve information interaction and collaborative control, thereby improving the comprehensiveness and accuracy of the simulation.

[0046] To facilitate understanding of this embodiment, a detailed description of the black boot simulation method disclosed in this disclosure is provided first. The execution entity of the black boot simulation method provided in this disclosure is generally a computer device with certain computing capabilities. This computer device may include, for example, a terminal device, a server, or other processing devices. The terminal device may be a user equipment (UE), mobile device, user terminal, terminal, cellular phone, cordless phone, personal digital assistant (PDA), handheld device, computing device, in-vehicle device, wearable device, etc. In some possible implementations, the black boot simulation method can be implemented by the processor calling computer-readable instructions stored in memory.

[0047] like Figure 1 The diagram shown illustrates the system architecture of the black-start simulation method provided in this embodiment. It includes a simulation platform 1 and a constructed power system 2. The power system 2 comprises an energy storage converter 21, a photovoltaic converter 22, a doubly-fed wind power converter 23, and an electronic load 24. All components—energy storage converter 21, photovoltaic converter 22, doubly-fed wind power converter 23, and electronic load 24—are connected to the simulation platform 1, including electrical and communication connections. The constructed simulation platform creates a highly realistic black-start scenario. Based on the existing hardware framework and software structure, the simulation platform undergoes algorithm testing and optimization. Algorithm tests conducted in the laboratory can be quickly ported to existing sites, perfectly reproducing the actual test conditions.

[0048] Specifically, black start scenarios can be pre-defined, such as individual black start scenarios (each with its own doubly-fed wind power converter, photovoltaic converter, and energy storage converter) or combined black start scenarios (energy storage converter + doubly-fed wind power converter, energy storage converter + photovoltaic converter, or energy storage converter + doubly-fed wind power converter + photovoltaic converter). The scenarios can also be changed by deploying different converter ratios, dynamically adjusting scenario parameters to ensure consistency between the experiment and the actual black start process. Furthermore, a multi-scenario collaborative operation mechanism is established, integrating the above-mentioned sub-scenarios through a unified scenario management platform to achieve information interaction and collaborative control, improving the comprehensiveness and accuracy of the simulation. This effectively addresses the shortcomings of traditional methods and provides a more effective experimental platform for testing and optimizing black start strategies.

[0049] Specifically, the ratio of converters and electronic loads can be selected according to actual needs. This embodiment does not impose any restrictions. However, for ease of explanation, the power system in this embodiment includes 8 energy storage converters, 8 photovoltaic converters, 2 doubly-fed wind power converters, and a 500KVA electronic load.

[0050] like Figure 2 The diagram shown is a flowchart of a black-start technology simulation method provided in this embodiment of the present disclosure. Figure 1 The system architecture diagram shown includes the following S201-S205:

[0051] S201: Establish a power system.

[0052] Its main function is to set up a black start scenario, which includes 8 energy storage converters, 8 photovoltaic converters, 2 doubly-fed wind power converters and a 500KVA electronic load.

[0053] First, correctly connect all devices to the corresponding interfaces on the simulation platform, including electrical and communication connections, ensuring normal communication and collaborative operation between devices. Configure the parameters of the electronic loads, setting their initial load state and subsequent load recovery strategy according to requirements. Second, start the simulation platform and load the pre-designed black-start technology scenario model. The scenario model includes the topology diagram, parameters, and preset fault types of the energy storage converter, auxiliary converter, and electronic loads. Finally, initialize all converters, including the charging and discharging strategies of the energy storage converter, the maximum power point tracking (MPPT) strategy of the photovoltaic converter, and the speed control strategy of the doubly-fed wind power converter, ensuring all devices are in standby mode. Start the data acquisition system to monitor key operating data of the power system such as voltage, current, frequency, and power in real time during the simulation.

[0054] Regarding each piece of equipment, specifically:

[0055] (1) Energy storage converter:

[0056] refer to Figure 3 The diagram shows the topology of the energy storage converter. The converter uses an Active Neutral Point Clamped (ANPC) topology and has an LCL filter at the output. The LCL filter contains five sets of capacitors, one of which is routed back to the midpoint of the DC bus. The rated grid voltage is 380V, the rated power is 40kW, and the maximum DC current is 50A.

[0057] For low-voltage, low-power energy storage converter systems, the filtering parameters of their main circuit are shown in Table 1:

[0058] Table 1. Filtering Parameters of Energy Storage Converter

[0059]

[0060] Regarding the battery for the energy storage converter, this embodiment uses a lithium iron phosphate battery, and the specific parameters are shown in Table 2:

[0061] Table 2 Battery parameters of the energy storage converter

[0062]

[0063] (2) Photovoltaic converter:

[0064] The parameters of the photovoltaic converter are consistent with those of the energy storage converter. Based on this, a DC / DC circuit (using a symmetrical topology) and an input filter are added to the left of the DC bus capacitor. Additionally, a Kewell DC power supply is used as the DC-side input of the photovoltaic converter. This DC power supply supports IV curve simulation of solar cells. It simulates IV curves for different types of solar cell arrays (monocrystalline, polycrystalline, thin-film, etc.); IV curves under different temperatures and light intensities; IV curves under partial shading of the photovoltaic array; and IV curves under scaled-down all-day solar radiation variations. It also supports simulation functions for cells made of different materials.

[0065] (3) Doubly fed wind power converter:

[0066] refer to Figure 4 The diagram shows the topology of a doubly-fed wind turbine converter. Both the generator-side and grid-side inverters adopt an ANPC (Neutral Point Clamped) topology. The grid-side output has an LC filter, and the generator-side (stator-side) output has a single-inductor filter. The intermediate DC side includes a chopper circuit and a pre-charge circuit. The rated voltage is 380V, the rated power is 30kW, and the DC voltage is not lower than 500V.

[0067] (4) Electronic load:

[0068] refer to Figure 5 The topology diagram of the electronic load shown shows that the load is a controllable electronic load, using 500kVA four-quadrant converters connected in parallel. The AC side is connected to the 690V test bus and the 380V auxiliary test bus, which can simulate a load of 0~500kVA. In this embodiment, an additional 500kVA controllable electronic load is configured as a backup.

[0069] The rated input voltage of the controllable electronic load is 3AC100-1200V, the output voltage range is 3AC380V±10%, the input frequency range is 40Hz~70Hz, the power factor is adjustable from -1 to 1, and it can simulate loads such as R, RL or RC. It has constant current, constant resistance, constant power and step mode operation modes.

[0070] When conducting experiments, random factors can be introduced using electronic loads, such as switching load types or sudden switching, for example, simulating the impact of the impact load of a steel plant on black start, making the constructed power system more realistic.

[0071] S202: Fault simulation.

[0072] Based on the designed fault types, various power grid faults were simulated one by one on the simulation platform, gradually disconnecting the connection with the external power grid to bring the power system into a complete blackout state. Simultaneously, the state parameters of the power system before the blackout were recorded, including the operating status of each device, and the voltage, current, and frequency of the power grid, providing a reference for subsequent analysis. While simulating the faults, the operation of the power system was monitored, and changes in the power system's operating data, including parameters such as voltage, frequency, and power, were recorded. By monitoring the operating data, the stability and recovery capability of the power system under fault conditions were analyzed.

[0073] The main types of faults include power-side faults, load-side faults, and communication control faults, specifically:

[0074] (1) Power supply side fault:

[0075] Energy storage converter failure: Simulate internal faults in the energy storage converter (such as power module damage, control board failure, etc.), causing the energy storage system to be unable to output power normally. For example, by cutting off the control signal of the energy storage converter or simulating a fault in its internal components, observe the system's response when energy storage support is lost.

[0076] Photovoltaic converter failure: This simulates a photovoltaic converter malfunctioning due to insufficient sunlight (e.g., simulating nighttime or cloudy days) or inherent faults (e.g., inverter overheat protection tripping). This can be simulated by adjusting the output power of the photovoltaic simulator or by directly disconnecting the input to the photovoltaic converter.

[0077] Doubly fed wind turbine converter malfunction: This simulates a doubly fed wind turbine converter failing to generate electricity due to low wind speed (simulating no wind or light wind conditions) or its own malfunction (such as a failure in the converter's cooling system). This can be simulated by adjusting the wind speed simulation device or disconnecting the wind turbine converter's input.

[0078] (2) Load-side fault:

[0079] Electronic load failure: Simulates the impact of sudden increases or decreases in the load of controllable electronic loads (such as simulating the sudden start-up or shutdown of factory equipment) on the stability of the power system. This can be simulated by rapidly changing the size of the electronic load.

[0080] Load short-circuit fault: Simulate a short-circuit fault in the electronic load and observe the protection actions and recovery status of the power system. This can be simulated by setting a short-circuit switch on the electronic load side.

[0081] (3) Communication control failure:

[0082] Communication link failure: This simulates an interruption in the communication link between the energy storage converter, photovoltaic converter, doubly-fed wind power converter, and electronic loads, causing the power system to be unable to coordinate and control normally. This can be simulated by disconnecting the communication lines or by simulating communication interference.

[0083] Control command failure: This simulates errors or delays in commands issued by the control center, causing equipment (such as energy storage converters) to fail to respond correctly. This can be simulated by delaying or incorrectly sending control commands.

[0084] S203: Simulation and testing of the recovery phase.

[0085] The recovery operation is carried out step by step according to the designed recovery phases. First, the energy storage converter is started to provide initial power to the system; then, the photovoltaic converter and the doubly-fed wind power converter are started gradually, adjusting their output power; finally, the controllable electronic loads are gradually restored, and the operation of the power system under different loads is observed. During the recovery process, the operating data of the power system is monitored in real time, and changes in parameters such as voltage, frequency, and power are recorded. By analyzing the operating data of the power system, the control strategy is optimized to improve the recovery efficiency and stability of the power system. Specifically, the recovery phases include:

[0086] (1) Initial startup phase:

[0087] Prioritized startup of energy storage systems: Leveraging the rapid response characteristics of energy storage systems, the energy storage converter is started first to provide initial power to the power system, stabilizing its voltage and frequency. The energy storage system can also charge and discharge rapidly, supporting the startup of other devices.

[0088] Assisted startup of photovoltaic and wind power systems: After the energy storage system starts up, the photovoltaic converter and the doubly-fed wind power converter are started up gradually. The output power of the photovoltaic and wind power systems is adjusted according to the sunlight and wind speed conditions to gradually integrate them into the power system.

[0089] (2) Stable phase:

[0090] Power balance adjustment: Dynamic power balance of the power system is achieved through the charging and discharging control of the energy storage converter, the power regulation of the photovoltaic converter, and the power output adjustment of the wind power converter. The energy storage system can charge and discharge according to the system power demand, while the photovoltaic and wind power systems output power according to their own power generation capacity.

[0091] Frequency and voltage control: Utilizing the rapid regulation capability of energy storage converters, the frequency and voltage of the power system are stabilized. Energy storage converters can quickly adjust charging and discharging power according to changes in the frequency and voltage of the power system, maintaining power system stability.

[0092] (3) Load recovery phase:

[0093] After the energy storage converter, photovoltaic converter, and wind power converter are able to stably output a certain power, the load of the electronic load is gradually restored. According to the pre-set load restoration strategy, the load is increased in stages and by region, while monitoring the voltage, current, and frequency changes of the power system.

[0094] If system voltage or frequency fluctuations exceed the allowable range during the load recovery phase, adjust the charging and discharging power of the energy storage converter or the output power of the photovoltaic converter and wind power converter in a timely manner to maintain the stable operation of the power system.

[0095] Optionally, the priority of load recovery can be set according to the importance and urgency of the load.

[0096] S204: Optimization and improvement of power systems.

[0097] After all loads are restored, the operating status of the power system continues to be monitored to ensure that the power system can operate stably for a period of time. Then, based on the operating data of the power system, the charging and discharging strategies of the energy storage converter, the MPPT strategy of the photovoltaic converter, the speed control strategy of the doubly-fed wind power converter, and the load restoration strategy are optimized and adjusted to improve the stability and economy of the power system.

[0098] Repeated fault simulation and recovery tests are conducted to verify the effectiveness of optimization and improvement measures and ensure that the power system can achieve rapid and stable recovery under various fault conditions.

[0099] S205: Data recording and analysis.

[0100] After the simulation, the operational data collected during the simulation are organized and analyzed, including the variation curves of parameters such as voltage, current, frequency, and power of the power system, as well as the operating status of each device and the adjustment of control strategies. Through data analysis, the effectiveness of the black start technology is evaluated, and problems and shortcomings in the simulation are identified, providing a basis for subsequent scheme optimization.

[0101] Finally, restore all equipment to its initial state and disconnect it from the simulation platform. Conduct a comprehensive inspection of all equipment to ensure that no damage or malfunction occurred during the simulation, preparing it for the next simulation. Optionally, based on the simulation process and data analysis results, compile a detailed simulation report, including the simulation objective, simulation steps, simulation results, existing problems, and improvement suggestions, to provide a reference for the research and application of black-start technology.

[0102] like Figure 6 The diagram shown is another flowchart of a black-start technology simulation method provided in this disclosure, the method including steps S601-S604:

[0103] S601: Based on the preset target fault type, simulate a power outage for the constructed power system.

[0104] The power system includes energy storage converters, auxiliary converters, and electronic loads.

[0105] S602: Start the energy storage converter and adjust its parameters according to its control strategy; start the auxiliary converter and adjust its parameters according to its control strategy.

[0106] S603: When the energy storage converter and the auxiliary converter are in a stable output state, start the electronic load, increase the load of the electronic load according to the preset load recovery strategy, and continuously collect the operating data of the power system under different loads.

[0107] S604: Based on the operating data, update the control strategy of the energy storage converter and the auxiliary converter, as well as the load recovery strategy.

[0108] In one or more embodiments, the auxiliary converter includes a photovoltaic converter and / or a doubly-fed wind power converter; the control strategy of the photovoltaic converter is a maximum power point tracking strategy, the control strategy of the doubly-fed wind power converter is a speed control strategy, and the control strategy of the energy storage converter is a charge-discharge control strategy.

[0109] In one or more embodiments, after S604, the method further includes: repeatedly performing the step of simulating a power outage on the constructed power system according to a preset target fault type, until the recovery status of the power system under the target fault type meets the preset conditions.

[0110] In one or more embodiments, prior to S604, the method further includes: monitoring the operating data of the power system to confirm that the power system is in a stable operating state when the load of the electronic load increases to meet preset conditions.

[0111] In one or more embodiments, the method further includes: connecting the energy storage converter, auxiliary converter, and electronic load to a simulation test platform; starting the simulation test platform and loading a preset black-start technology scenario model. The connections include electrical and communication connections, and the scenario model includes the topology diagram, parameters, and preset fault types of the energy storage converter, auxiliary converter, and electronic load.

[0112] In one or more embodiments, the method further includes: recording and analyzing the collected operating data, wherein the operating data includes the power system's own data, operating parameters of the energy storage converter, auxiliary converter, and electronic load; and disconnecting the energy storage converter, auxiliary converter, and electronic load from the simulation experimental platform after the simulation ends.

[0113] According to another aspect of the embodiments of this disclosure, a simulation device for black-start technology is provided, such as... Figure 7 As shown, the device includes:

[0114] The fault simulation module 701 is used to simulate power outages in the constructed power system according to preset target fault types; the power system includes an energy storage converter, an auxiliary converter, and electronic loads.

[0115] The simulation recovery module 702 is used to start the energy storage converter and adjust its parameters according to the control strategy of the energy storage converter; and to start the auxiliary converter and adjust its parameters according to the control strategy of the auxiliary converter.

[0116] The load simulation module 703 is used to start the electronic load when the energy storage converter and the auxiliary converter are in a stable output state, increase the load of the electronic load according to a preset load recovery strategy, and continuously collect the operating data of the power system under different loads.

[0117] The strategy optimization module 704 is used to update the control strategy of the energy storage converter and the auxiliary converter, as well as the load recovery strategy, based on the operating data.

[0118] The black start technology simulation device and the black start technology simulation method provided in this disclosure are based on the same inventive concept and have the same beneficial effects as the methods they adopt, operate or implement.

[0119] This disclosure also provides a computer device for executing the above-described black boot technique simulation method. Please refer to... Figure 8 It illustrates a schematic diagram of a computer device provided by some embodiments of this disclosure. For example... Figure 8 As shown, the computer device 8 includes: a processor 800, a memory 801, a bus 802, and a communication interface 803. The processor 800, the communication interface 803, and the memory 801 are connected via the bus 802. The memory 801 stores a computer program that can run on the processor 800. When the processor 800 runs the computer program, it executes the simulation method of the black boot technology provided in any of the foregoing embodiments of this disclosure.

[0120] The memory 801 may include high-speed random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Communication between this device network element and at least one other network element is achieved through at least one communication interface 803 (which can be wired or wireless), such as the Internet, wide area network, local area network, metropolitan area network, etc.

[0121] Bus 802 can be an ISA bus, PCI bus, or EISA bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. The memory 801 is used to store programs. After receiving an execution instruction, the processor 800 executes the program. The black boot simulation method disclosed in any of the foregoing embodiments of this disclosure can be applied to the processor 800, or implemented by the processor 800.

[0122] The processor 800 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of the processor 800 or by instructions in software form. The processor 800 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), an off-the-shelf programmable gate array (FPTA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this disclosure. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this disclosure can be directly embodied in the execution of a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software modules may reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. The storage medium is located in memory 801. Processor 800 reads the information in memory 801 and, in conjunction with its hardware, completes the steps of the above method.

[0123] The computer device provided in this disclosure and the black boot technology simulation method provided in this disclosure are based on the same inventive concept and have the same beneficial effects as the methods they adopt, run or implement.

[0124] This disclosure also provides a computer-readable storage medium corresponding to the black boot technology simulation method provided in the foregoing embodiments. The computer-readable storage medium is an optical disc, on which a computer program (i.e., a computer program product) is stored. When the computer program is run by a processor, it executes the black boot technology simulation method provided in any of the foregoing embodiments.

[0125] It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other optical and magnetic storage media, which will not be elaborated here.

[0126] The computer-readable storage medium provided in the above embodiments of this disclosure and the black boot technology simulation method provided in the embodiments of this disclosure are based on the same inventive concept and have the same beneficial effects as the methods adopted, run or implemented by the applications stored therein.

[0127] This disclosure also provides a computer program product; please refer to [reference needed]. Figure 9 The computer program product 900 carries program code, namely computer program 901. The instructions included in the computer program 901 can be used to execute the steps of the black boot technology simulation method described in the above method embodiments. For details, please refer to the above method embodiments, which will not be repeated here.

[0128] The aforementioned computer program product can be implemented through hardware, software, or a combination thereof. In one optional embodiment, the computer program product is specifically embodied in a computer storage medium; in another optional embodiment, the computer program product is specifically embodied in a software product, such as a software development kit (SDK), etc.

[0129] The basic principles of this disclosure have been described above with reference to specific embodiments. However, it should be noted that the advantages, benefits, and effects mentioned in this disclosure are merely examples and not limitations, and should not be considered as essential features of each embodiment of this disclosure. Furthermore, the specific details disclosed above are for illustrative and facilitative purposes only, and are not limitations. These details do not limit the scope of this disclosure to the necessity of employing the aforementioned specific details for implementation.

[0130] The block diagrams of devices, apparatuses, devices, and systems disclosed herein are merely illustrative examples and are not intended to require or imply that they must be connected, arranged, or configured in the manner shown in the block diagrams. As those skilled in the art will recognize, these devices, apparatuses, devices, and systems can be connected, arranged, and configured in any manner. Words such as “comprising,” “including,” “having,” etc., are open-ended terms meaning “including but not limited to,” and are used interchangeably with them. The terms “or” and “and” as used herein refer to the terms “and / or,” and are used interchangeably with them unless the context clearly indicates otherwise. The term “such as” as used herein refers to the phrase “such as but not limited to,” and is used interchangeably with it.

[0131] Additionally, as used herein, the "or" used in a list of items beginning with "at least one" indicates a separate list, such that a list of, for example, "at least one of A, B, or C" means A or B or C, or AB or AC or BC, or ABC (i.e., A and B and C). Furthermore, the word "exemplary" does not imply that the described example is preferred or better than other examples.

[0132] It should also be noted that in the systems and methods of this disclosure, the components or steps can be decomposed and / or recombined. These decompositions and / or recombinations should be considered as equivalent solutions to this disclosure.

[0133] Various changes, substitutions, and modifications can be made to the technology described herein without departing from the teachings defined by the appended claims. Furthermore, the scope of the claims of this disclosure is not limited to the specific aspects of the processes, machines, manufactures, events, means, methods, and actions described above. Currently existing or later-developed processes, machines, manufactures, events, means, methods, or actions that perform substantially the same function or achieve substantially the same result as the corresponding aspects described herein can be utilized. Therefore, the appended claims include such processes, machines, manufactures, events, means, methods, or actions within their scope.

[0134] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use this disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein can be applied to other aspects without departing from the scope of this disclosure. Therefore, this disclosure is not intended to be limited to the aspects shown herein, but rather to be carried out within the widest scope consistent with the principles and novel features disclosed herein.

[0135] The above description has been given for purposes of illustration and description. Furthermore, this description is not intended to limit the embodiments of this disclosure to the forms disclosed herein. Although numerous exemplary aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, alterations, additions, and sub-combinations therein.

Claims

1. A simulation method for black start technology, characterized in that, include: Based on the preset target fault type, simulate power outage processing is performed on the constructed power system; The power system includes an energy storage converter, an auxiliary converter, and electronic loads; Start the energy storage converter and adjust its parameters according to its control strategy. Start the auxiliary converter and adjust its parameters according to its control strategy. When the energy storage converter and the auxiliary converter are in a stable output state, the electronic load is started, the load of the electronic load is increased according to the preset load recovery strategy, and the operating data of the power system under different loads are continuously collected. Based on the operational data, update the control strategies for the energy storage converter and the auxiliary converter, as well as the load recovery strategy; Also includes: The auxiliary converter includes a photovoltaic converter and / or a doubly fed wind power converter; The control strategy for the photovoltaic converter is a maximum power point tracking strategy, the control strategy for the doubly-fed wind power converter is a speed control strategy, and the control strategy for the energy storage converter is a charge-discharge control strategy.

2. The simulation method for black-start technology as described in claim 1, characterized in that, After updating the control strategies for the energy storage converter and the auxiliary converter, as well as the load recovery strategy, based on the operational data, the method further includes: Repeat the steps of simulating a power outage on the constructed power system according to the preset target fault type until the recovery status of the power system under the target fault type meets the preset conditions.

3. The simulation method for black-start technology as described in claim 1, characterized in that, Before updating the control strategies for the energy storage converter and the auxiliary converter, as well as the load recovery strategy, based on the operational data, the following steps are included: When the load of the electronic load increases to meet the preset conditions, the operating data of the power system is monitored to confirm that the power system is in a stable operating state.

4. The simulation method for black-start technology as described in claim 1, characterized in that, Also includes: The energy storage converter, auxiliary converter, and electronic load are connected to the simulation experimental platform, and the connection includes electrical connection and communication connection. The simulation platform is started and a preset black-start technology scenario model is loaded. The scenario model includes the topology diagram, parameters, and preset fault types of the energy storage converter, auxiliary converter, and electronic load.

5. The simulation method for black-start technology as described in claim 1, characterized in that, Also includes: The collected operational data is recorded and analyzed, including the power system's own data and the operating parameters of the energy storage converter, auxiliary converter, and electronic loads. After the simulation is completed, disconnect the energy storage converter, auxiliary converter, and electronic load from the simulation experimental platform.

6. A simulation device applying the black-start technology as described in claim 1, characterized in that, include: The fault simulation module is used to simulate power outages in the constructed power system based on preset target fault types. The power system includes an energy storage converter, an auxiliary converter, and electronic loads; The simulation recovery module is used to start the energy storage converter and adjust the parameters of the energy storage converter according to the control strategy of the energy storage converter. Start the auxiliary converter and adjust its parameters according to its control strategy. The load simulation module is used to start the electronic load when the energy storage converter and the auxiliary converter are in a stable output state, increase the load of the electronic load according to a preset load recovery strategy, and continuously collect the operating data of the power system under different loads. The strategy optimization module is used to update the control strategies of the energy storage converter and the auxiliary converter, as well as the load recovery strategy, based on the operating data.

7. A computer embedded device, comprising a memory, a processor, and a computer program stored in the memory, characterized in that, The processor executes the computer program to implement the method according to any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method described in any one of claims 1 to 5.

9. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the method described in any one of claims 1 to 5.

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