New energy grid-connected resonance overvoltage suppression method, device and equipment

Abstract

The invention provides a new energy grid-connected resonance overvoltage suppression method, device and equipment, and relates to the technical field of power grids, and the method comprises the steps: receiving a voltage boosting completion signal from zero, and enabling a photovoltaic system connected with a photovoltaic power station box transformer substation and a wind power plant wind turbine generator to be connected into a power grid in sequence, and obtaining a grid-connected point; acquiring a voltage harmonic component of a grid-connected point in real time based on electromagnetic transient simulation, and generating second monitoring data; dynamically adjusting a grid-connected time sequence and a converter control parameter, so that the resonance overvoltage amplitude in the second monitoring data is reduced to be within a safety threshold value; according to the second monitoring data, when it is confirmed that the energy storage system operates stably, a new energy grid connection completion signal is output; and according to the new energy grid connection completion signal, closing a transformer substation switch to access a preset load, and when the load operation parameters continuously reach a stable state, exiting the black start mode and switching to a normal operation mode. According to the scheme of the invention, the safety and reliability of the black-start process in a high-proportion new energy access scene are improved.

Description

Technical Field

[0001] The present invention relates to the field of power grid technology, and in particular to a method, device and equipment for suppressing resonant overvoltage of a new energy grid-connected system. Background Art

[0002] At present, with the transformation of energy structure, the proportion of new energy power generation represented by photovoltaic and wind power in the power system continues to rise. After a large-scale power outage, rapid and reliable power restoration (i.e., "black start") is a key link in ensuring the resilience and security of the power grid. Due to their ability to independently establish and support grid voltage and frequency, GFM (Globally Modified Functionalized) energy storage systems have become an ideal choice for supporting regional power grid black starts, particularly for new power systems dominated by renewable energy. A key step in using grid-connected energy storage for black starts is the gradual integration of large photovoltaic and wind farms within the recovery area into the "microgrid" initially established by the energy storage. However, this grid connection process faces severe technical challenges, particularly the problem of resonant overvoltage. Currently, common approaches to suppress resonant overvoltage during black starts include installing passive filters (such as single-tuned or high-pass filters) at key nodes to absorb specific frequency harmonics, and optimizing the control parameters of renewable energy converters (such as increasing phase-locked loop damping and adjusting current loop bandwidth) to improve their stability in weak grid conditions. However, the main shortcomings of existing technologies are the inability to effectively integrate real-time voltage monitoring data (especially resonant components) during the black start process for dynamic decision-making, and the inability to integrate the phases of grid-connected energy storage voltage boost and stabilization, the phased grid connection of renewable energy stations, resonant suppression, and load connection into a coordinated closed-loop control system. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a method, device and equipment for suppressing resonant overvoltage of new energy grid-connected power, so as to improve the safety and reliability of the black start process in a scenario with a high proportion of new energy access.

[0004] In order to solve the above technical problems, the technical solutions of the present invention are as follows: The present invention provides a method for suppressing grid-connected resonant overvoltage of new energy sources, which is applied to an energy storage system. The method comprises: Real-time collection of power frequency voltages of the energy storage system bus, the photovoltaic power station bus, and the wind farm bus to obtain first monitoring data; According to the first monitoring data, when all bus voltages are stable within the preset range and there is no resonance phenomenon, a zero-start boost completion signal is output; Receiving the zero-start voltage boost completion signal, sequentially connecting the photovoltaic system connected to the photovoltaic power station box transformer and the wind farm wind turbine generator set to the power grid to obtain a grid connection point; Based on electromagnetic transient simulation, voltage harmonic components of the grid connection point are obtained in real time to generate second monitoring data; Dynamically adjust the grid connection timing and converter control parameters to reduce the resonant overvoltage amplitude in the second monitoring data to within the safety threshold; based on the second monitoring data, when it is confirmed that the energy storage system is operating stably, output a new energy grid connection completion signal; According to the new energy grid connection completion signal, the substation switch is closed to connect the preset load. When the load operation parameters continue to reach a stable state, the black start mode is exited and switched to the normal operation mode.

[0005] Optionally, the first monitoring data includes: the power frequency voltage of the energy storage system bus, the power frequency voltage of the photovoltaic power station bus, the power frequency voltage of the wind farm bus, the boost time parameter and the voltage fluctuation waveform.

[0006] Optionally, according to the first monitoring data, when all bus voltages are stable within a preset range and there is no resonance, a zero-start boost completion signal is output, including: Real-time acquisition of the energy storage system bus power frequency voltage, photovoltaic power station bus power frequency voltage, wind farm bus power frequency voltage, boost time parameters, and voltage fluctuation waveform in the first monitoring data; Determine whether the power frequency voltage of all buses is continuously within the preset range specified by the standard, and analyze whether there is resonance based on the voltage fluctuation waveform; When all bus voltages are continuously stable within a preset range for a preset period of time and the voltage fluctuation waveform has no resonance characteristics, a zero-start boost completion signal is output.

[0007] Optionally, receiving the zero-start boost completion signal, sequentially connecting the photovoltaic system connected to the photovoltaic power station box transformer and the wind farm wind turbine generator set to the power grid to obtain a grid connection point, including: Based on the zero-start voltage boost completion signal, a photovoltaic system grid-connection instruction is generated and sent to the photovoltaic power station box-type transformer, which then performs the closing operation according to the grid-connection instruction, connects the connected photovoltaic system to the grid, and monitors the voltage and current transient response at the grid connection point in real time; When the transient response of the photovoltaic system after grid connection remains stable for a first preset time, a wind turbine grid connection instruction is generated and sent to the wind farm, so that the wind farm executes the wind turbine grid connection operation according to the wind turbine grid connection instruction, and simultaneously records the grid connection point location parameters to complete the new energy grid connection.

[0008] Optionally, voltage harmonic components of the grid connection point are acquired in real time based on electromagnetic transient simulation to generate second monitoring data, including: Establish an electromagnetic transient simulation model based on the grid connection point location parameters to obtain initial simulation parameters; Performing real-time simulation calculations on the grid connection point voltage according to the initial simulation parameters, extracting the fundamental component and each harmonic component to form original harmonic data; Performing a time-domain-frequency-domain joint analysis on the original harmonic data to determine the dominant harmonic order of the resonant overvoltage and its dynamic amplitude change characteristics; According to the dominant harmonic order and dynamic amplitude change characteristics, the second monitoring data including harmonic components, amplitude fluctuation range and time evolution law is generated.

[0009] Optionally, dynamically adjusting the grid connection timing and converter control parameters to reduce the resonant overvoltage amplitude in the second monitoring data to within a safety threshold; and outputting a new energy grid connection completion signal when confirming that the energy storage system is operating stably based on the second monitoring data, including: Analyze the dominant harmonic order and dynamic amplitude change characteristics in the second monitoring data to generate a resonant overvoltage suppression strategy, the suppression strategy including a converter parameter adjustment scheme and a grid connection timing optimization scheme; According to the converter parameter adjustment scheme, impedance adjustment instructions and phase compensation instructions are sent to the converters of the photovoltaic power station and the wind farm, and converter feedback parameters are collected synchronously; Based on the grid-connected timing optimization scheme and converter feedback parameters, recalculate the final grid-connected time window of the unit to be grid-connected, and generate a grid-connected timing control instruction; Executing the grid connection timing control instruction to complete the grid connection operation of the remaining units within the final grid connection time window, while monitoring the voltage harmonic components at the grid connection point and the output power of the energy storage system; When the resonant overvoltage amplitude is monitored to be lower than the safety threshold for three consecutive sampling cycles and the output power fluctuation rate of the energy storage system remains within the preset range, a new energy grid connection completion signal is generated.

[0010] Optionally, according to the new energy grid connection completion signal, closing the substation switch to connect the preset load, and when the load operating parameters continuously reach a stable state, exiting the black start mode and switching to normal operation, including: Receive the signal that new energy grid connection is completed, generate load level access instructions and send them to the substation switch controller; According to the load graded access instruction, the low-voltage side bus tie switch and the high-voltage side incoming line switch are closed in a predetermined order to realize the phased input of the preset load capacity; During the load input process, load active power, reactive power, power factor and grid frequency deviation data are collected in real time to form a load dynamic response data set; performing stability evaluation on the load dynamic response data set to generate a stability confirmation signal; In response to the stability confirmation signal, the energy storage system is controlled to disconnect the black start control link and switch to the power grid dispatching master station control mode, and the mode switching time parameters are recorded.

[0011] An embodiment of the present invention further provides a new energy grid-connected resonant overvoltage suppression device, comprising: The acquisition module is used to collect the power frequency voltage of the energy storage system bus, the photovoltaic power station bus, and the wind farm bus in real time to obtain first monitoring data; a confirmation module, configured to output a zero-start voltage boost completion signal when all bus voltages are stable within a preset range and there is no resonance according to the first monitoring data; a grid-connected module, configured to receive the zero-start voltage boost completion signal, sequentially connect the photovoltaic system and the wind turbine generator set connected to the photovoltaic power station box transformer to the grid, and obtain a grid-connected point; and obtain the voltage harmonic components of the grid-connected point in real time based on electromagnetic transient simulation to generate second monitoring data; an adjustment module for dynamically adjusting the grid connection timing and converter control parameters to reduce the resonant overvoltage amplitude in the second monitoring data to within a safety threshold; and outputting a new energy grid connection completion signal when confirming that the energy storage system is operating stably based on the second monitoring data; The processing module is used to close the substation switch and connect the preset load according to the new energy grid connection completion signal, and when the load operation parameters continue to reach a stable state, exit the black start mode and switch to the normal operation mode.

[0012] An embodiment of the present invention further provides a computing device, comprising: a processor and a memory storing a computer program, wherein the computer program executes the above-mentioned method when executed by the processor.

[0013] An embodiment of the present invention further provides a computer-readable storage medium, comprising: storing instructions, which, when executed on a computer, enable the computer to execute the above-mentioned method.

[0014] The above solution of the present invention includes at least the following beneficial effects: The method for suppressing resonant overvoltage in the grid connection of new energy sources described in the present invention includes: real-time acquisition of the power frequency voltage of the energy storage system bus, the photovoltaic power station bus, and the wind farm bus to obtain first monitoring data; based on the first monitoring data, when all bus voltages are stable within a preset range and there is no resonance, outputting a zero-start voltage boost completion signal; receiving the zero-start voltage boost completion signal, sequentially connecting the photovoltaic system connected to the photovoltaic power station box transformer and the wind farm wind turbine to the grid to obtain a grid connection point; based on electromagnetic transient simulation, obtaining the voltage harmonic components of the grid connection point in real time to generate second monitoring data; dynamically adjusting the grid connection timing and converter control parameters to reduce the resonant overvoltage amplitude in the second monitoring data to within a safety threshold; based on the second monitoring data, when it is confirmed that the energy storage system is operating stably, outputting a new energy grid connection completion signal; based on the new energy grid connection completion signal, closing the substation switch to connect the preset load, and when the load operating parameters continue to reach a stable state, exiting the black start mode and switching to normal operation. Through a multi-dimensional collaborative control mechanism, the safety and reliability of the black start process in scenarios with a high proportion of new energy access are significantly improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a flow chart of the method for suppressing resonant overvoltage in a new energy grid-connected system according to the present invention.

[0016] Figure 2 It is a module schematic diagram of the new energy grid-connected resonant overvoltage suppression device of the present invention. DETAILED DESCRIPTION

[0017] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0018] like Figure 1 As shown, an embodiment of the present invention provides a method for suppressing grid-connected resonant overvoltage of new energy sources, which is applied to an energy storage system. The method includes: Step 11: Real-time acquisition of the power frequency voltages of the energy storage system bus, the photovoltaic power station bus, and the wind farm bus to obtain first monitoring data, wherein the first monitoring data includes: the power frequency voltage of the energy storage system bus, the power frequency voltage of the photovoltaic power station bus, the power frequency voltage of the wind farm bus, a boost time parameter, and a voltage fluctuation waveform; Step 12: When all bus voltages are stable within a preset range and there is no resonance, a zero-start voltage boost completion signal is output according to the first monitoring data. Step 13, receiving the zero-start boost completion signal, sequentially connecting the photovoltaic system connected to the photovoltaic power station box transformer and the wind farm wind turbine generator set to the power grid to obtain a grid connection point; Step 14: acquiring voltage harmonic components of the grid connection point in real time based on electromagnetic transient simulation to generate second monitoring data; Step 15: Dynamically adjust the grid connection timing and converter control parameters to reduce the resonant overvoltage amplitude in the second monitoring data to within a safety threshold; based on the second monitoring data, when it is confirmed that the energy storage system is operating stably, output a new energy grid connection completion signal; Step 16: According to the new energy grid connection completion signal, close the substation switch to connect the preset load. When the load operating parameters continue to reach a stable state, exit the black start mode and switch to the normal operation mode.

[0019] In this embodiment, the new energy grid-connected resonant overvoltage suppression method significantly improves the safety and reliability of the black start process in a high-proportion new energy access scenario through a multi-dimensional collaborative control mechanism; the voltage harmonic real-time monitoring and dynamic adjustment mechanism based on electromagnetic transient simulation breaks through the limitations of traditional passive protection, realizes rapid and accurate identification and adaptive suppression of resonant overvoltage, and effectively avoids equipment insulation damage and protection malfunction risks; by dynamically adjusting the new energy grid-connected timing and converter control parameters, it solves the control interaction conflict problem when multiple units are connected to a weak power grid, and significantly reduces the resonant amplification effect caused by improper timing or parameter mismatch; constructs a three-level safety verification mechanism of "zero-start voltage boost-new energy grid connection-load access", sets voltage stability and resonant state criteria at key nodes, and ensures that the grid-connected energy storage system always serves as a stable voltage source to prevent system collapse; In this embodiment, the new energy grid-connected resonant overvoltage suppression method is combined with a real-time monitoring data dynamic optimization control strategy to overcome the influence of grid topology changes and impedance characteristic fluctuations during the black start process, without relying on fixed parameter models, and significantly enhances the anti-disturbance capability under complex working conditions; fully utilizes the existing converter controllability and monitoring system, realizes resonance suppression through the algorithm layer, avoids the additional installation of filtering devices or compensation equipment, and reduces the system transformation cost; under the premise of ensuring safety, shortens the new energy grid-connected time window through rapid resonance suppression, and exits the black start mode in time based on the load stability criterion, accelerating the recovery process of the entire power grid.

[0020] In an optional embodiment of the present invention, step 12, when all bus voltages are stable within a preset range and there is no resonance, outputting a zero-start boost completion signal according to the first monitoring data, includes: Step 121: Real-time acquisition of the energy storage system bus power frequency voltage, photovoltaic power station bus power frequency voltage, wind farm bus power frequency voltage, boost time parameters, and voltage fluctuation waveform from the first monitoring data; Step 122: determine whether the power frequency voltage of all buses is continuously within the preset range specified by the standard, and analyze whether there is resonance based on the voltage fluctuation waveform; Step 123: When all bus voltages are continuously stable within a preset range for a preset period of time and the voltage fluctuation waveform has no resonance characteristics, a zero-start voltage boost completion signal is output.

[0021] In this embodiment, step 121 is specifically as follows: extract key information from the first monitoring data in real time, continuously collect the power frequency voltage of the energy storage system bus, the photovoltaic power station bus, and the wind farm bus, and record the voltage value collected each time; at the same time, synchronously record the time parameters in the boosting process, including the boosting start time, the time point corresponding to each moment, etc. In addition, continuously capture the voltage fluctuation waveform of each bus, store the changes of these waveforms in the form of a data sequence, and form a complete first monitoring data set; step 122 is specifically as follows: for the power frequency voltage of all buses, compare the voltage value collected in real time with the preset range specified by the standard; continuously track the voltage value at each moment, determine whether it is within the qualified range, and count the voltage within the preset range. Duration. For the voltage fluctuation waveform, the resonance phenomenon is analyzed by observing the morphological characteristics of the waveform to check whether the waveform has periodic amplitude sharp changes, oscillations and other resonance characteristics. If the waveform shows regular and large-amplitude fluctuations, it is judged that there may be a resonance phenomenon; on the contrary, if the waveform is stable and there is no obvious abnormal fluctuation, it is judged that there is no resonance phenomenon; step 123 is specifically: first set a preset time period, such as 5 seconds, and continuously monitor all bus voltages. When the time for all bus voltages to be continuously within the preset range reaches the preset time period, the voltage stability condition is met. At the same time, combined with the analysis results of the voltage fluctuation waveform in step 122, it is confirmed that there is no resonance feature. Only when these two conditions are met at the same time will the system output a zero-start voltage boost completion signal.

[0022] The present invention can timely detect whether the bus voltage is within the preset range and whether there is a resonance phenomenon through the determined judgment standard and method, providing a scientific basis for judging whether the zero-start boost is completed; step 123 ensures the accuracy and rigor of the zero-start boost completion signal output by setting dual conditions and preset time periods, avoids the signal error output caused by instantaneous stability or misjudgment, and thus ensures the stability and safety of the zero-start boost stage during the black start process.

[0023] In an optional embodiment of the present invention, step 13, receiving the zero-start boost completion signal, sequentially connecting the photovoltaic system and the wind farm wind turbines connected to the photovoltaic power station box transformer to the power grid to obtain a grid connection point, includes: Step 131: Generate a photovoltaic system grid-connection instruction based on the zero-voltage boost completion signal and send it to the photovoltaic power station box transformer, so that the photovoltaic power station box transformer performs a closing operation according to the grid-connection instruction, connects the connected photovoltaic system to the grid, and monitors the voltage and current transient response of the grid connection point in real time; Step 132: When the transient response of the photovoltaic system after grid connection remains stable for a first preset time, a wind turbine grid connection instruction is generated and sent to the wind farm, so that the wind farm executes the wind turbine grid connection operation according to the wind turbine grid connection instruction, and simultaneously records the grid connection point location parameters to complete the new energy grid connection.

[0024] In this embodiment, step 131 is specifically as follows: when the system receives the zero-start boost completion signal, it first triggers the generation mechanism of the photovoltaic system grid-connected instruction, which combines the grid state parameters when the zero-start boost is completed, such as the voltage stability value of each bus, to determine the initial conditions for the photovoltaic system to be connected to the grid; then, the generated grid-connected instruction is sent to the photovoltaic power station box transformer. After receiving the instruction, the box transformer performs the closing operation to gradually connect the photovoltaic system to the grid. During the grid-connected process, the voltage and current data of the grid connection point are monitored in real time, and the instantaneous value of the voltage, the rate of change, and the transient peak value, fluctuation range and other transient response parameters of the current are continuously recorded. By comparing these parameters with the preset transient allowable range, it is determined whether the transient response of the photovoltaic system after grid connection is normal. It is in a controllable state; step 132 is specifically as follows: after it is monitored in step 131 that the transient response of the photovoltaic system after grid connection is continuously stable for a first preset time length (for example, 30 seconds), the system automatically generates a wind turbine grid connection instruction. The instruction will determine the initial grid connection parameters of the wind turbine according to the real-time data such as the load condition and voltage stability of the current power grid. After sending the instruction to the wind farm, the wind farm will execute the grid connection operation of the wind turbine in sequence according to the instruction. When each unit is grid-connected, the specific location information of the grid connection point is synchronously recorded, including the corresponding line number, connection node and other location parameters to form a complete grid connection point location record; after all wind turbines are connected to the grid, all grid connection point information is integrated to confirm that the new energy grid connection operation is completed.

[0025] The present invention monitors the transient response of the photovoltaic system when it is connected to the grid in real time, so as to promptly discover abnormal situations during the grid connection process, ensure the safe connection of the photovoltaic system to the grid, and avoid disturbances to the grid caused by excessive transient shocks; step 132 ensures the stability of the grid after the photovoltaic system is connected to the grid by setting a stability judgment condition of a first preset time, and then sequentially connects the wind turbines, which can effectively avoid the mutual interference caused by the simultaneous grid connection of multiple types of renewable energy, and at the same time record the grid connection point location parameters, thereby improving the orderliness and controllability of the renewable energy grid connection process.

[0026] In an optional embodiment of the present invention, step 14, obtaining voltage harmonic components of the grid connection point in real time based on electromagnetic transient simulation to generate second monitoring data, includes: Step 141: Establish an electromagnetic transient simulation model based on the grid connection point location parameters to obtain initial simulation parameters; Step 142: performing real-time simulation calculation on the grid connection point voltage according to the initial simulation parameters, extracting the fundamental component and each harmonic component to form original harmonic data; Step 143, performing a time-domain-frequency-domain joint analysis on the original harmonic data to determine the dominant harmonic order of the resonant overvoltage and its dynamic amplitude change characteristics; Step 144 : generating second monitoring data including harmonic components, amplitude fluctuation range and time evolution law according to the dominant harmonic order and dynamic amplitude variation characteristics.

[0027] In this embodiment, step 141 is specifically as follows: collecting the grid connection point location parameters recorded in step 132, including the line number, connection node, electrical distance to the surrounding equipment and other information corresponding to the grid connection point; according to these location parameters, building the corresponding grid topology in the electromagnetic transient simulation platform, accurately mapping the location of the grid connection point to the simulation model; then, entering the parameters of the relevant equipment around the grid connection point, such as the converter parameters of the photovoltaic system and wind turbine generator, the impedance parameters of the line, the capacity and ratio of the transformer, etc.; by integrating and initializing these parameters, constructing an electromagnetic transient simulation model that is consistent with the actual grid structure and parameters, thereby obtaining to the initial simulation parameters; step 142 is specifically as follows: based on the initial simulation parameters obtained in step 141, the electromagnetic transient simulation calculation program is started to simulate the voltage of the grid-connected point in real time; during the simulation process, the instantaneous value of the voltage of the grid-connected point is collected at a set time interval (such as every millisecond); then, the collected instantaneous voltage value is processed to separate the fundamental component and each harmonic component; for example, by analyzing the periodic characteristics of the voltage waveform, the frequency and amplitude of the fundamental wave are determined, and then by comparing the difference between the actual waveform and the fundamental wave waveform, the amplitude and phase information of each harmonic such as the 2nd, 3rd, and 5th order are extracted, and these data are sorted to form the original harmonic data.

[0028] In this embodiment, step 143 specifically involves: performing time domain analysis on the original harmonic data obtained in step 142, observing the amplitude changes of each harmonic at different times, and recording the time point and duration of the peak amplitude; at the same time, performing frequency domain analysis to determine the energy contribution of the harmonics at different frequencies by analyzing the frequency distribution of each harmonic. The time domain and frequency domain analysis results are combined to identify harmonic components with large amplitudes, long durations, and significant impacts on the power grid, and their corresponding harmonic orders, i.e., the dominant harmonic orders of the resonant overvoltage, are determined. The amplitude change trends of these dominant harmonics over time are then analyzed to summarize their dynamic amplitude change characteristics, such as the amplitude rise rate and fluctuation period.

[0029] In this embodiment, step 144 specifically involves: based on the dominant harmonic order determined in step 143, sorting out all harmonic components that should be included in the second monitoring data, including the dominant harmonic and other minor harmonics; for each harmonic component, calculating its amplitude fluctuation range in different time periods, and determining the maximum, minimum, and average fluctuation amplitude. Simultaneously, in conjunction with the time axis, the amplitude evolution of each harmonic component over time is recorded, and temporal evolution patterns are summarized, such as the changing trends of harmonic amplitudes at different stages after grid connection. This information, including harmonic components, amplitude fluctuation ranges, and temporal evolution patterns, is integrated to generate complete second monitoring data.

[0030] In step 141 of the present invention, an accurate electromagnetic transient simulation model is established by combining the grid connection point location parameters, which provides a reliable basis for subsequent harmonic analysis and ensures that the simulation results can truly reflect the actual power grid conditions; step 142 calculates and extracts the fundamental and harmonic components through real-time simulation, which can timely grasp the voltage harmonic conditions of the grid connection point and provide original data support for identifying resonant overvoltage; step 143 adopts time domain-frequency domain joint analysis to accurately determine the dominant harmonic order and its dynamic characteristics, which helps to deeply understand the generation and development laws of resonant overvoltage. The second monitoring data generated in step 144 comprehensively reflects the key information of the harmonics, thereby effectively suppressing the resonant overvoltage.

[0031] In an optional embodiment of the present invention, step 15 dynamically adjusts the grid connection timing and converter control parameters so that the resonant overvoltage amplitude in the second monitoring data falls within a safety threshold; and outputs a new energy grid connection completion signal when it is confirmed that the energy storage system is operating stably based on the second monitoring data, including: Step 151: analyzing the dominant harmonic order and dynamic amplitude change characteristics in the second monitoring data to generate a resonant overvoltage suppression strategy, the suppression strategy including a converter parameter adjustment scheme and a grid connection timing optimization scheme; Step 152 : sending impedance adjustment instructions and phase compensation instructions to the photovoltaic power station and wind farm converters according to the converter parameter adjustment scheme, and synchronously collecting converter feedback parameters; Step 153: recalculate the final grid-connected time window of the unit to be grid-connected based on the grid-connected timing optimization solution and the converter feedback parameters, and generate a grid-connected timing control instruction; Step 154: Execute the grid connection timing control instruction to complete the grid connection operation of the remaining units within the final grid connection time window, while monitoring the voltage harmonic components at the grid connection point and the output power of the energy storage system; Step 155 : When it is monitored that the resonant overvoltage amplitude is lower than the safety threshold for three consecutive sampling periods and the output power fluctuation rate of the energy storage system remains within a preset range, a new energy grid connection completion signal is generated.

[0032] In this embodiment, step 151 is specifically as follows: deeply analyzing the second monitoring data, focusing on extracting the dominant harmonic order and the variation characteristics of its dynamic amplitude, such as the peak value of the amplitude, the frequency of occurrence, the duration, etc., and analyzing the cause and impact of the resonant overvoltage based on this information; formulating a converter parameter adjustment plan in combination with the operating status of the power grid, such as determining the type of parameters that need to be adjusted and the approximate adjustment direction and range; at the same time, formulating a grid connection timing optimization plan based on the characteristics of each unit and the current carrying capacity of the power grid, determining the grid connection sequence adjustment recommendations and the approximate range of the time interval for different units, thereby forming a complete resonant overvoltage suppression strategy.

[0033] In this embodiment, step 152 specifically includes: determining the specific value of the impedance adjustment and the specific angle of the phase compensation based on the converter parameter adjustment plan generated in step 151 and in combination with the current operating parameters of the converter; then converting these specific values ​​and angles into impedance adjustment instructions and phase compensation instructions, which are sent to the converters of the photovoltaic power station and wind farm respectively; after sending the instructions, collecting the feedback parameters of the converter in real time, such as the actual impedance value after adjustment, the phase compensation effect, the output current and voltage, and other data, to evaluate the execution of the instructions and the preliminary effect of the parameter adjustment.

[0034] In this embodiment, step 153 is specifically as follows: based on the grid-connected timing optimization scheme obtained in step 151 and the converter feedback parameters collected in step 152, the current grid's acceptance capacity for newly connected units is analyzed; considering factors such as the operating status of the grid-connected units, the load level of the grid, and voltage stability, the final grid-connected time window of the units to be grid-connected is recalculated. During the calculation, it is necessary to ensure that the units connected within the time window will not cause the resonant overvoltage amplitude to exceed the safety threshold, and finally a grid-connected timing control instruction is generated to determine the specific grid-connected time of each unit to be grid-connected.

[0035] In this embodiment, step 154 ​​specifically involves: arranging the remaining units for grid connection operations in sequence within the corresponding final grid connection time window according to the grid connection timing control instructions generated in step 153. During the grid connection process, the voltage harmonic components at the grid connection point are continuously monitored, including the amplitude and frequency of each harmonic. At the same time, the output power of the energy storage system is monitored in real time, and the instantaneous value and changes of the power are recorded. Through this monitoring data, the impact of the grid connection operation on the power grid and resonant overvoltage, as well as the operating status of the energy storage system, are promptly understood.

[0036] In this embodiment, step 155 specifically includes: setting a safety threshold and a preset range for the energy storage system output power fluctuation rate; continuously sampling the resonant overvoltage amplitude at the grid connection point; when the amplitude is lower than the safety threshold for three consecutive sampling periods, the voltage stability condition is met; and simultaneously, observing changes in the energy storage system output power; when the power fluctuation rate continues to remain within the preset range, it indicates that the energy storage system is operating stably. Only when these two conditions are simultaneously met is a new energy grid connection completion signal generated.

[0037] Step 151 of the present invention improves the pertinence and effectiveness of resonant overvoltage suppression by accurately analyzing monitoring data and formulating targeted suppression strategies; Step 152 achieves precise adjustment of converter parameters by sending specific instructions and collecting feedback parameters, and can timely grasp the adjustment effect, providing a basis for further optimization; Step 153 recalculates the grid-connected time window based on multiple factors, ensuring the safety of the remaining units being connected to the grid and reducing the risk of resonance caused by improper grid-connected timing; Step 154 ​​monitors key parameters in real time during the grid-connected process, can promptly discover problems and take measures, and ensure the smooth progress of grid-connected operations; Step 155 ensures the stable operation of the system after the new energy is connected to the grid by judging the dual stability conditions, lays a solid foundation for subsequent load access, and improves the reliability of the entire black start process.

[0038] In an optional embodiment of the present invention, step 16, according to the new energy grid connection completion signal, closing the substation switch to connect the preset load, and when the load operating parameters continuously reach a stable state, exiting the black start mode and switching to normal operation includes: Step 161: Receive a new energy grid connection completion signal, generate a load level connection instruction, and send it to the substation switch controller; Step 162: According to the load-level access instruction, close the low-voltage side bus tie switch and the high-voltage side incoming line switch in a predetermined order to implement phased access of the preset load capacity. Step 163, during the load input process, real-time data on load active power, reactive power, power factor, and grid frequency deviation are collected to form a load dynamic response data set; Step 164 , performing stability evaluation on the load dynamic response data set to generate a stability confirmation signal; Step 165 , in response to the stability confirmation signal, controlling the energy storage system to disconnect the black start control link and switch to the grid dispatching master station control mode, while recording the mode switching time parameters.

[0039] In this embodiment, step 161 specifically involves the following: upon receiving the new energy grid connection completion signal, the system first obtains information such as the total capacity, type, and importance of each preset load. Based on this information, the loads are divided into different levels, such as primary loads and secondary loads, with different levels corresponding to different access priorities and access capacities. A specific access sequence and the amount of load to be accessed at each time are then determined based on the load levels. A load-level access instruction is generated and subsequently sent to the substation switch controller.

[0040] In this embodiment, step 162 is specifically as follows: after the substation switch controller receives the load level access instruction, it starts operating in the order predetermined in the instruction. First, it confirms the current state of the low-voltage side bus tie switch. When safety conditions are met, it closes the low-voltage side bus tie switch to access the first-level preset load; after access, it monitors the operating state of the power grid, such as whether the voltage and frequency are stable; when the first-level load is operating stably, it follows the same process to close the high-voltage side incoming line switch in sequence, and put the subsequent levels of preset loads into operation in stages, to ensure that the power grid can remain relatively stable after each load is put into operation.

[0041] In this embodiment, step 163 is specifically as follows: during the entire process of load input, the monitoring equipment in the power grid is used to collect various load operating parameters in real time, and for the load active power, its instantaneous value and change trend are recorded; for the reactive power, its value change is also tracked; at the same time, the real-time value of the power factor is calculated, and the deviation data between the power grid frequency and the rated frequency is monitored; these collected data are sorted in chronological order to form a complete load dynamic response data set, which intuitively reflects the changes in various parameters during the load access process.

[0042] In this embodiment, step 164 specifically includes: analyzing and evaluating various parameters in the load dynamic response data set; setting a stable range for active power and reactive power to determine whether they fluctuate within this range; determining a qualified threshold for power factor to check whether it meets the requirements; and setting an allowable value for grid frequency deviation to check whether the frequency deviation is within the allowable range. When all load operating parameters remain within the corresponding stable range for multiple consecutive sampling periods without significant fluctuations or anomalies, the load operating parameters are determined to have reached a stable state, and a stability confirmation signal is generated.

[0043] In this embodiment, step 165 specifically involves the following: upon receiving the stability confirmation signal, the system initiates the black start mode exit procedure. First, the energy storage system is controlled to disconnect the control link associated with the black start, disabling the special control strategy in black start mode. Then, control of the energy storage system is transferred to the grid dispatching master station, integrating it into the grid's unified dispatching management and entering normal operation control mode. During the mode switching process, time parameters such as the switch start and completion time are accurately recorded to facilitate subsequent tracing and analysis of the entire process.

[0044] Step 161 of the present invention realizes orderly access of loads by generating load graded access instructions, avoids the impact on the power grid caused by accessing a large number of loads at one time, and ensures the stable operation of the power grid; Step 162 closes the switch in a predetermined order to put the load into operation in stages, further reducing the disturbance of load access to the power grid and improving the safety of the load access process; Step 163 collects load dynamic response data in real time to facilitate timely discovery of potential problems; Step 164 ensures that the load operating parameters truly reach a stable state through strict stability evaluation, and provides a reliable judgment standard for mode switching; Step 165 realizes a smooth switch from black start mode to normal operating mode, records the switching parameters for subsequent analysis and optimization, and ensures the smoothness and reliability of the power grid returning to normal operation.

[0045] like Figure 2 As shown, an embodiment of the present invention further provides a new energy grid-connected resonant overvoltage suppression device 20, comprising: The acquisition module 21 is used to collect the power frequency voltage of the energy storage system bus, the photovoltaic power station bus, and the wind farm bus in real time to obtain first monitoring data; The confirmation module 22 is configured to output a zero-start voltage boost completion signal when all bus voltages are stable within a preset range and there is no resonance according to the first monitoring data; The grid connection module 23 is configured to receive the zero-start voltage boost completion signal, sequentially connect the photovoltaic system and the wind turbine generator set connected to the photovoltaic power station box transformer to the grid, and obtain a grid connection point; obtain the voltage harmonic components of the grid connection point in real time based on electromagnetic transient simulation, and generate second monitoring data; The adjustment module 24 is configured to dynamically adjust the grid connection timing and converter control parameters to reduce the resonant overvoltage amplitude in the second monitoring data to within a safety threshold; and output a new energy grid connection completion signal when the energy storage system is confirmed to be operating stably based on the second monitoring data; The processing module 25 is used to close the substation switch and connect the preset load according to the new energy grid connection completion signal, and exit the black start mode and switch to the normal operation mode when the load operation parameters continue to reach a stable state.

[0046] Optionally, the first monitoring data includes: the power frequency voltage of the energy storage system bus, the power frequency voltage of the photovoltaic power station bus, the power frequency voltage of the wind farm bus, the boost time parameter and the voltage fluctuation waveform.

[0047] Optionally, according to the first monitoring data, when all bus voltages are stable within a preset range and there is no resonance, a zero-start boost completion signal is output, including: Real-time acquisition of the energy storage system bus power frequency voltage, photovoltaic power station bus power frequency voltage, wind farm bus power frequency voltage, boost time parameters, and voltage fluctuation waveform in the first monitoring data; Determine whether the power frequency voltage of all buses is continuously within the preset range specified by the standard, and analyze whether there is resonance based on the voltage fluctuation waveform; When all bus voltages are continuously stable within a preset range for a preset period of time and the voltage fluctuation waveform has no resonance characteristics, a zero-start boost completion signal is output.

[0048] Optionally, receiving the zero-start boost completion signal, sequentially connecting the photovoltaic system connected to the photovoltaic power station box transformer and the wind farm wind turbine generator set to the power grid to obtain a grid connection point, including: Based on the zero-start voltage boost completion signal, a photovoltaic system grid-connection instruction is generated and sent to the photovoltaic power station box-type transformer, which then performs the closing operation according to the grid-connection instruction, connects the connected photovoltaic system to the grid, and monitors the voltage and current transient response at the grid connection point in real time; When the transient response of the photovoltaic system after grid connection remains stable for a first preset time, a wind turbine grid connection instruction is generated and sent to the wind farm, so that the wind farm executes the wind turbine grid connection operation according to the wind turbine grid connection instruction, and simultaneously records the grid connection point location parameters to complete the new energy grid connection.

[0049] Optionally, voltage harmonic components of the grid connection point are acquired in real time based on electromagnetic transient simulation to generate second monitoring data, including: Establish an electromagnetic transient simulation model based on the grid connection point location parameters to obtain initial simulation parameters; Performing real-time simulation calculations on the grid connection point voltage according to the initial simulation parameters, extracting the fundamental component and each harmonic component to form original harmonic data; Performing a time-domain-frequency-domain joint analysis on the original harmonic data to determine the dominant harmonic order of the resonant overvoltage and its dynamic amplitude change characteristics; According to the dominant harmonic order and dynamic amplitude change characteristics, the second monitoring data including harmonic components, amplitude fluctuation range and time evolution law is generated.

[0050] Optionally, dynamically adjusting the grid connection timing and converter control parameters to reduce the resonant overvoltage amplitude in the second monitoring data to within a safety threshold; and outputting a new energy grid connection completion signal when confirming that the energy storage system is operating stably based on the second monitoring data, including: Analyze the dominant harmonic order and dynamic amplitude change characteristics in the second monitoring data to generate a resonant overvoltage suppression strategy, the suppression strategy including a converter parameter adjustment scheme and a grid connection timing optimization scheme; According to the converter parameter adjustment scheme, impedance adjustment instructions and phase compensation instructions are sent to the converters of the photovoltaic power station and the wind farm, and converter feedback parameters are collected synchronously; Based on the grid-connected timing optimization scheme and converter feedback parameters, recalculate the final grid-connected time window of the unit to be grid-connected, and generate a grid-connected timing control instruction; Executing the grid connection timing control instruction to complete the grid connection operation of the remaining units within the final grid connection time window, while monitoring the voltage harmonic components at the grid connection point and the output power of the energy storage system; When the resonant overvoltage amplitude is monitored to be lower than the safety threshold for three consecutive sampling cycles and the output power fluctuation rate of the energy storage system remains within the preset range, a new energy grid connection completion signal is generated.

[0051] Optionally, according to the new energy grid connection completion signal, closing the substation switch to connect the preset load, and when the load operating parameters continuously reach a stable state, exiting the black start mode and switching to normal operation, including: Receive the signal that new energy grid connection is completed, generate load level access instructions and send them to the substation switch controller; According to the load graded access instruction, the low-voltage side bus tie switch and the high-voltage side incoming line switch are closed in a predetermined order to realize the phased input of the preset load capacity; During the load input process, load active power, reactive power, power factor and grid frequency deviation data are collected in real time to form a load dynamic response data set; performing stability evaluation on the load dynamic response data set to generate a stability confirmation signal; In response to the stability confirmation signal, the energy storage system is controlled to disconnect the black start control link and switch to the power grid dispatching master station control mode, and the mode switching time parameters are recorded.

[0052] It should be noted that this device is a device corresponding to the above method, and all implementation methods in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0053] An embodiment of the present invention further provides a computing device comprising: a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction implements the steps of the above-described method when executed by the processor.

[0054] An embodiment of the present invention further provides a computer-readable storage medium comprising instructions, which, when executed on a computer, cause the computer to execute the method described above. All implementations in the above method embodiments are applicable to this embodiment and can achieve the same technical effects.

[0055] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0056] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0057] In the embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interface, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0058] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0059] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0060] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, a mobile hard drive, ROM, RAM, a magnetic disk, or an optical disk.

[0061] In addition, it should be pointed out that in the apparatus and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent solutions of the present invention. Moreover, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order according to the order of description, but they do not necessarily need to be performed in chronological order, and some steps can be performed in parallel or independently of each other. For those of ordinary skill in the art, it can be understood that all or any steps or components of the method and apparatus of the present invention can be implemented in hardware, firmware, software or a combination thereof in any computing device (including a processor, storage medium, etc.) or a network of computing devices. This can be achieved by those of ordinary skill in the art using their basic programming skills after reading the description of the present invention.

[0062] Therefore, the purpose of the present invention can also be achieved by running a program or a group of programs on any computing device. The computing device can be a well-known general-purpose device. Therefore, the purpose of the present invention can also be achieved simply by providing a program product containing program code that implements the method or device. That is to say, such a program product also constitutes the present invention, and the storage medium storing such a program product also constitutes the present invention. Obviously, the storage medium can be any well-known storage medium or any storage medium developed in the future. It should also be pointed out that in the device and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. In addition, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order according to the order of description, but do not necessarily need to be performed in chronological order. Certain steps can be performed in parallel or independently of each other.

[0063] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A method for suppressing resonant overvoltage in a new energy grid-connected system, characterized in that: Applied to an energy storage system, the method includes: Real-time collection of power frequency voltages of the energy storage system bus, the photovoltaic power station bus, and the wind farm bus to obtain first monitoring data; According to the first monitoring data, when all bus voltages are stable within the preset range and there is no resonance phenomenon, a zero-start boost completion signal is output; Receiving the zero-start voltage boost completion signal, sequentially connecting the photovoltaic system connected to the photovoltaic power station box transformer and the wind farm wind turbine generator set to the power grid to obtain a grid connection point; Based on electromagnetic transient simulation, voltage harmonic components of the grid connection point are obtained in real time to generate second monitoring data; Dynamically adjust the grid connection timing and converter control parameters to reduce the resonant overvoltage amplitude in the second monitoring data to within the safety threshold; based on the second monitoring data, when it is confirmed that the energy storage system is operating stably, output a new energy grid connection completion signal; According to the new energy grid connection completion signal, the substation switch is closed to connect the preset load. When the load operation parameters continue to reach a stable state, the black start mode is exited and switched to the normal operation mode.

2. The method for suppressing resonant overvoltage of a new energy grid-connected system according to claim 1, characterized in that: The first monitoring data includes: the power frequency voltage of the energy storage system bus, the power frequency voltage of the photovoltaic power station bus, the power frequency voltage of the wind farm bus, the boost time parameters and the voltage fluctuation waveform.

3. The method for suppressing resonant overvoltage of a new energy grid-connected system according to claim 1, characterized in that: According to the first monitoring data, when all bus voltages are stable within the preset range and there is no resonance, a zero-start boost completion signal is output, including: Real-time acquisition of the energy storage system bus power frequency voltage, photovoltaic power station bus power frequency voltage, wind farm bus power frequency voltage, boost time parameters, and voltage fluctuation waveform in the first monitoring data; Determine whether the power frequency voltage of all buses is continuously within the preset range specified by the standard, and analyze whether there is resonance based on the voltage fluctuation waveform; When all bus voltages are continuously stable within a preset range for a preset period of time and the voltage fluctuation waveform has no resonance characteristics, a zero-start boost completion signal is output.

4. The method for suppressing resonant overvoltage in a new energy grid-connected system according to claim 1, characterized in that: Receiving the zero-start boost completion signal, sequentially connecting the photovoltaic system connected to the photovoltaic power station box transformer and the wind farm wind turbine generator set to the power grid to obtain a grid connection point, including: Based on the zero-start voltage boost completion signal, a photovoltaic system grid-connection instruction is generated and sent to the photovoltaic power station box-type transformer, which then performs the closing operation according to the grid-connection instruction, connects the connected photovoltaic system to the grid, and monitors the voltage and current transient response at the grid connection point in real time; When the transient response of the photovoltaic system after grid connection remains stable for a first preset time, a wind turbine grid connection instruction is generated and sent to the wind farm, so that the wind farm executes the wind turbine grid connection operation according to the wind turbine grid connection instruction, and simultaneously records the grid connection point location parameters to complete the new energy grid connection.

5. The method for suppressing resonant overvoltage in a new energy grid-connected system according to claim 1, characterized in that: Based on electromagnetic transient simulation, the voltage harmonic components at the grid connection point are acquired in real time to generate the second monitoring data, including: Establish an electromagnetic transient simulation model based on the grid connection point location parameters to obtain initial simulation parameters; Performing real-time simulation calculations on the grid connection point voltage according to the initial simulation parameters, extracting the fundamental component and each harmonic component to form original harmonic data; Performing a time-domain-frequency-domain joint analysis on the original harmonic data to determine the dominant harmonic order of the resonant overvoltage and its dynamic amplitude change characteristics; According to the dominant harmonic order and dynamic amplitude change characteristics, the second monitoring data including harmonic components, amplitude fluctuation range and time evolution law is generated.

6. The method for suppressing resonant overvoltage in a new energy grid-connected system according to claim 1, characterized in that: Dynamically adjust the grid connection timing and converter control parameters to reduce the resonant overvoltage amplitude in the second monitoring data to within a safety threshold; Based on the second monitoring data, when the energy storage system is confirmed to be operating stably, a new energy grid connection completion signal is output, including: Analyze the dominant harmonic order and dynamic amplitude change characteristics in the second monitoring data to generate a resonant overvoltage suppression strategy, the suppression strategy including a converter parameter adjustment scheme and a grid connection timing optimization scheme; According to the converter parameter adjustment scheme, impedance adjustment instructions and phase compensation instructions are sent to the converters of the photovoltaic power station and the wind farm, and converter feedback parameters are collected synchronously; Based on the grid-connected timing optimization scheme and converter feedback parameters, recalculate the final grid-connected time window of the unit to be grid-connected, and generate a grid-connected timing control instruction; Executing the grid connection timing control instruction to complete the grid connection operation of the remaining units within the final grid connection time window, while monitoring the voltage harmonic components at the grid connection point and the output power of the energy storage system; When the resonant overvoltage amplitude is monitored to be lower than the safety threshold for three consecutive sampling cycles and the output power fluctuation rate of the energy storage system remains within the preset range, a new energy grid connection completion signal is generated.

7. The method for suppressing resonant overvoltage in a new energy grid-connected system according to claim 1, characterized in that: According to the new energy grid connection completion signal, the substation switch is closed to connect the preset load. When the load operating parameters continue to reach a stable state, the black start mode is exited and the normal operation is switched to normal operation, including: Receive the signal that new energy grid connection is completed, generate load level access instructions and send them to the substation switch controller; According to the load graded access instruction, the low-voltage side bus tie switch and the high-voltage side incoming line switch are closed in a predetermined order to realize the phased input of the preset load capacity; During the load input process, load active power, reactive power, power factor and grid frequency deviation data are collected in real time to form a load dynamic response data set; performing stability evaluation on the load dynamic response data set to generate a stability confirmation signal; In response to the stability confirmation signal, the energy storage system is controlled to disconnect the black start control link and switch to the power grid dispatching master station control mode, and the mode switching time parameters are recorded.

8. A new energy grid-connected resonant overvoltage suppression device, characterized in that: include: The acquisition module is used to collect the power frequency voltage of the energy storage system bus, the photovoltaic power station bus, and the wind farm bus in real time to obtain first monitoring data; a confirmation module, configured to output a zero-start voltage boost completion signal when all bus voltages are stable within a preset range and there is no resonance according to the first monitoring data; a grid-connection module, configured to receive the zero-start voltage boost completion signal, sequentially connect the photovoltaic system and the wind turbine generator set connected to the photovoltaic power station box transformer to the grid, and obtain a grid-connection point; and obtain voltage harmonic components of the grid-connection point in real time based on electromagnetic transient simulation to generate second monitoring data; an adjustment module, configured to dynamically adjust the grid connection timing and converter control parameters so that the resonant overvoltage amplitude in the second monitoring data falls within a safety threshold; Based on the second monitoring data, when it is confirmed that the energy storage system is operating stably, a new energy grid connection completion signal is output; The processing module is used to close the substation switch and connect the preset load according to the new energy grid connection completion signal, and when the load operation parameters continue to reach a stable state, exit the black start mode and switch to the normal operation mode.

9. A computing device, characterized in that include: A processor and a memory storing a computer program, wherein when the computer program is executed by the processor, the method according to any one of claims 1 to 7 is performed.

10. A computer-readable storage medium, characterized in that The device stores instructions, which, when executed on a computer, cause the computer to execute the method according to any one of claims 1 to 7.

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