Network construction type energy storage converter control method, device, equipment, storage medium and program product

Abstract

The invention relates to a network construction type energy storage converter control method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring operation data of each region in a power system, and determining a scene type of each region according to the operation data; the operation data comprises power grid parameters, new energy power generation data and load characteristic data; determining a target control strategy of each region according to the scene type of each region, and monitoring the operating environment of each region and the operating parameters of the network construction type energy storage converter in each region after controlling the network construction type energy storage converter in each region based on the target control strategy of each region; and under the condition that the operation environment and the operation parameters of any one of the regions are changed, adjusting the target control strategy of the region, and controlling the network construction type energy storage converter of the region based on the adjusted target control strategy. By adopting the method, the efficiency of the network construction type energy storage converter can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of converters, and in particular to a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for controlling a grid-type energy storage converter. Background Art

[0002] As a key device in the new power system, the grid-type energy storage converter can simulate the operating characteristics of the synchronous generator, provide inertia, damping and voltage support for the system, and effectively improve the stability of the power system.

[0003] In the existing technology, most of the grid-type energy storage converters are controlled using a single control strategy.

[0004] However, this method of controlling the grid-type energy storage converter using a single control strategy cannot achieve the optimal control effect, thereby resulting in low efficiency of the grid-type energy storage converter. Summary of the Invention

[0005] Based on this, it is necessary to provide a grid-type energy storage converter control method, device, computer equipment, computer-readable storage medium and computer program product that can improve the efficiency of the grid-type energy storage converter in order to address the above technical problems.

[0006] In a first aspect, the present application provides a control method for a grid-type energy storage converter, comprising:

[0007] Obtaining operational data for each area of ​​the power system and determining the scenario type for each area based on the operational data; the operational data includes grid parameters, renewable energy generation data, and load characteristic data;

[0008] Determine the target control strategy for each area according to the scenario type of each area, and after controlling the grid-type energy storage converter in each area based on the target control strategy of each area, monitor the operating environment of each area and the operating parameters of the grid-type energy storage converter in each area;

[0009] When the operating environment and operating parameters of any area in each area change, the target control strategy of the area is adjusted, and the grid-type energy storage converter of the area is controlled based on the adjusted target control strategy.

[0010] In one embodiment, the scenario type of each area is determined based on the operating data, including: performing data analysis and processing on the operating data based on a cluster analysis algorithm and a principal component analysis algorithm to obtain an analysis result of the operating data; and determining the scenario type of each area based on the analysis result of the operating data, the scenario type including a weak power grid area type and a high new energy penetration area type.

[0011] In one embodiment, the target control strategy of each area is determined according to the scenario type of each area, including: if the scenario type of any area in the areas is the weak power grid area type, then the target control strategy of the area is determined to be the first control strategy; the first control strategy is used to indicate the start of an improved control strategy based on a virtual synchronous generator, and the improved control strategy based on the virtual synchronous generator includes: adjusting the output impedance of the grid-type energy storage inverter in the area, and adjusting the reactive output of the grid-type energy storage inverter in the area.

[0012] In one embodiment, the target control strategy of each area is determined according to the scenario type of each area, including: if the scenario type of any area in each area is the high new energy penetration area, then the target control strategy of the area is determined to be the second control strategy; the second control strategy is used to indicate the start of power smoothing control and frequency tracking control strategy, and the power smoothing control and frequency tracking control strategy includes: controlling the charging / discharging of the grid-type energy storage inverter in the area according to the power change prediction value of the new energy, and adjusting the active power of the grid-type energy storage inverter in the area according to the grid frequency deviation.

[0013] In one embodiment, when the operating environment and operating parameters of any area in each area change, the target control strategy of the area is adjusted, including: obtaining the changed operating environment and operating parameters of the area; and adjusting the target control strategy of the area according to the changed operating environment and operating parameters of the area.

[0014] In one embodiment, the target control strategy of the area is adjusted, including: determining the voltage deviation, the real-time power demand of the power supply in the area, and the real-time power demand of the load in the area according to the changed operating parameters of the area; determining the regional characteristics and frequency change information of the area according to the changed operating environment and operating parameters of the area; and adjusting the target control strategy of the area based on the voltage deviation, the real-time power demand of the power supply in the area, the real-time power demand of the load in the area, the regional characteristics of the area, and the frequency change information.

[0015] In a second aspect, the present application further provides a grid-type energy storage converter control device, comprising:

[0016] An acquisition module is used to acquire operating data of each area in the power system and determine the scenario type of each area based on the operating data; the operating data includes grid parameters, renewable energy generation data, and load characteristic data;

[0017] A determination module is used to determine the target control strategy of each area according to the scenario type of each area, and after controlling the grid-type energy storage converter in each area based on the target control strategy of each area, monitor the operating environment of each area and the operating parameters of the grid-type energy storage converter in each area;

[0018] The execution module is used to adjust the target control strategy of any area in each area when the operating environment and operating parameters of the area change, and control the grid-type energy storage converter in the area based on the adjusted target control strategy.

[0019] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the method described in any embodiment of the first aspect are implemented.

[0020] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method described in any embodiment of the first aspect above.

[0021] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of the method described in any embodiment of the first aspect above.

[0022] The above-mentioned grid-type energy storage converter control method, device, computer equipment, computer-readable storage medium and computer program product first obtain the operating data of each area in the power system and determine the scenario type of each area based on the operating data; the operating data includes grid parameters, new energy generation data and load characteristic data; then determine the target control strategy of each area according to the scenario type of each area, and after controlling the grid-type energy storage converter in each area based on the target control strategy of each area, monitor the operating environment of each area and the operating parameters of the grid-type energy storage converter in each area; then, when the operating environment and operating parameters of any area in the areas change, adjust the target control strategy of the area, and control the grid-type energy storage converter in the area based on the adjusted target control strategy. The grid-type energy storage converter control method provided in the present application adopts different control strategies to control the grid-type energy storage converter according to different scenario types. Compared with the prior art that adopts a single control strategy to control the grid-type energy storage converter, it can achieve better control effect, thereby effectively improving the efficiency of the grid-type energy storage converter. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments of the present application or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying any creative work.

[0024] Figure 1 1 is a flow chart of a method for controlling a grid-type energy storage converter according to an embodiment;

[0025] Figure 2 1 is a flow chart of a method for determining the scene type of each area based on operating data in one embodiment;

[0026] Figure 3 A schematic flow chart of a method for adjusting a target control strategy for a region in one embodiment;

[0027] Figure 4 1 is a flow chart of a method for adjusting a target control strategy of a region according to a changed operating environment and operating parameters of the region in one embodiment;

[0028] Figure 5 Schematic diagram of a flow chart of a control method for a grid-type energy storage converter in another embodiment;

[0029] Figure 6 1. It is a structural block diagram of a grid-type energy storage converter control device in one embodiment;

[0030] Figure 7 is a diagram of the internal structure of a computer device in one embodiment;

[0031] Figure 8 FIG. 4 is a diagram showing the internal structure of a computer device in another embodiment. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0033] As a key device in the new power system, the grid-type energy storage converter can simulate the operating characteristics of the synchronous generator, provide inertia, damping and voltage support for the system, and effectively improve the stability of the power system.

[0034] Existing technologies mostly employ a single control strategy to control grid-connected energy storage converters. For example, some control methods struggle to effectively limit overcurrent and ensure stable power system operation in the face of grid failures or large fluctuations in renewable energy power. Other control methods also fail to account for the specific needs of different regions when implementing power distribution and voltage regulation, resulting in low control accuracy and reduced system performance.

[0035] In summary, the method of controlling the grid-type energy storage converter using a single control strategy cannot achieve the optimal control effect, thereby resulting in a low efficiency of the grid-type energy storage converter.

[0036] In view of this, the present application provides a control method for a grid-type energy storage inverter. Different control strategies are adopted to control the grid-type energy storage inverter for different scenario types. Compared with the existing technology of using a single control strategy to control the grid-type energy storage inverter, a better control effect can be achieved, thereby effectively improving the efficiency of the grid-type energy storage inverter.

[0037] The grid-type energy storage converter control method provided in the present application can be executed by a computer device, which can be a server or a terminal.

[0038] In some exemplary embodiments, Figure 1 As shown, a control method for a grid-type energy storage converter is provided, the method comprising the following steps:

[0039] Step 101: Acquire operating data of each area in the power system, and determine the scenario type of each area based on the operating data.

[0040] Among them, the operating data includes grid parameters, new energy power generation data and load characteristic data.

[0041] For example, grid parameters refer to data used to describe the network structure and physical characteristics of the power system, which can be used to analyze the transmission capacity, stability and reliability of the power grid. The grid parameters may include node parameters, line parameters and topology.

[0042] For example, node parameters can include voltage level, node type, and active / reactive power. The voltage level, also known as the rated voltage of each busbar (node), can be used to indicate the grid's power supply hierarchy. Node types can be categorized as balancing nodes, PQ nodes, and PV nodes, and can be used for power flow calculations and state estimation. Load active / reactive power refers to the active load connected to the node, such as industrial and residential electricity, and the reactive load connected to the node, such as the reactive power consumed by inductive devices.

[0043] Line parameters can include resistance, reactance, conductance, susceptance, line length / capacity, and transformer parameters. Resistance, reactance, conductance, and susceptance are physical parameters of transmission lines that affect active power loss and reactive power distribution during power transmission. Line length / capacity refers to the physical length and maximum transmission power of the line, limiting the ability to provide inter-regional power. Transformer parameters, including transformation ratio and leakage reactance, affect power conversion and losses between different voltage levels.

[0044] The topology refers to the way nodes, lines, and transformers are connected in the power grid, which can determine the path of power flow and the scope of fault impact.

[0045] For example, renewable energy power generation data refers to the operating status data of power generation units that primarily use renewable energy, which can be used to characterize the cleanliness and volatility of the regional energy structure. This renewable energy power generation data can include installed capacity, output characteristics, and grid connection characteristics.

[0046] For example, the installed capacity refers to the total installed capacity of new energy such as wind power and photovoltaics in the region, which can reflect the scale of regional new energy development.

[0047] Output characteristics can include real-time power, output volatility, and output forecast data. Real-time power refers to the real-time active and reactive power output of renewable energy generation units, which is significantly affected by factors such as weather and season. Output volatility refers to the magnitude of output fluctuations over a short period of time, reflecting the intermittent nature of renewable energy. Output forecast data refers to the predicted output value of renewable energy for a period of time in the future and can be used for grid scheduling.

[0048] The grid-connected characteristics include the reactive power regulation capability and low voltage ride-through capability of the new energy station, which affect the voltage stability and fault ride-through capability of the power grid.

[0049] For example, load characteristic data refers to the changing patterns and structure of power load in a region, which is the core basis for analyzing power supply and demand balance and grid planning. This load characteristic data can include load curves, load structure, and power factor.

[0050] For example, the load curve can include time series characteristics and peak-to-valley differences. Time series characteristics refer to the load's changing trend over a period of time. Peak-to-valley differences refer to the difference between maximum and minimum loads, reflecting the degree of load fluctuation and affecting the peak-shaving pressure of the power grid.

[0051] The load structure can include industry composition and flexible loads. Industry composition refers to the proportion of electricity consumption by industry, commerce, residential, and agriculture, and the load characteristics of different industries vary significantly. Flexible loads refer to adjustable, flexible loads, such as electric vehicle charging, energy storage systems, and adjustable temperature control loads.

[0052] Power factor refers to the ratio of load active power to apparent power, reflecting the reactive power demand of the load.

[0053] Optionally, a region refers to a geographical area or electrical region in a power system with a specific grid structure, new energy penetration rate, and load characteristics. The division of regions in the power system is based on the physical characteristics and operational requirements of the grid, aiming to match the control strategy of the grid-type energy storage converter.

[0054] For example, since the grid strength, renewable energy penetration rate, and load characteristics affect the control requirements of the grid-connected energy storage converter, the regions can be divided based on these parameters.

[0055] Grid strength metrics include short-circuit capacity, or short-circuit ratio (SCR), and line impedance. Grid strength can be determined using data such as line impedance, short-circuit capacity, and grid voltage fluctuations.

[0056] Renewable energy penetration rate is measured by factors such as the proportion of installed renewable energy capacity and output volatility. This rate can be determined using data such as installed renewable energy capacity, output curves, and power forecast errors.

[0057] Load characteristics metrics include load type and active / reactive power demand volatility. These load characteristics can be determined using data such as load type proportions, active / reactive power curves, and voltage sensitivity thresholds.

[0058] Furthermore, in a power system, a region can be one or more electrically connected subgrids, which can be large or small. A large region might be a prefecture-level city grid within a provincial power grid. A medium region might be an industrial park distribution network. A small region might be a microgrid or a local distribution network.

[0059] In some exemplary embodiments, the computer device may utilize the power system monitoring device and the data acquisition system to obtain the operating data of each area in the power system.

[0060] Furthermore, after obtaining the operating data of each area in the power system, the computer device can determine the scenario type of each area based on the operating data.

[0061] Specifically, the computer device may input the operating data of each area into a pre-trained scene type determination model to obtain the scene type of each area output by the scene type determination model.

[0062] Step 102: Determine the target control strategy for each area according to the scenario type of each area, and after controlling the grid-type energy storage converter in each area based on the target control strategy of each area, monitor the operating environment of each area and the operating parameters of the grid-type energy storage converter in each area.

[0063] In some exemplary embodiments, after obtaining the scene type of each area, the computer device may determine the target control strategy of each area according to the scene type of each area.

[0064] Specifically, the computer device may input the scene type of each area into a pre-trained control strategy determination model to obtain the target control strategy of each area output by the control strategy determination model.

[0065] The computer device can also obtain a scene type-target control strategy mapping relationship list, and based on the scene type-target control strategy mapping relationship list and the scene type of each area, determine the target control strategy mapping relationship list corresponding to the scene type of each area. The scene type-target control strategy can be shown in Table 1.

[0066] Table 1

[0067]

[0068] Furthermore, after obtaining the target control strategy of each area, the computer equipment can control the grid-type energy storage inverter in each area based on the target control strategy of each area, and after controlling the grid-type energy storage inverter in each area based on the target control strategy of each area, monitor the operating environment of each area and the operating parameters of the grid-type energy storage inverter in each area in real time.

[0069] Specifically, the computer equipment can utilize the power system monitoring equipment and the data acquisition system to monitor the operating environment of each area and the operating parameters of the grid-connected energy storage converters in each area in real time.

[0070] Step 103 : When the operating environment and operating parameters of any area in each area change, the target control strategy of the area is adjusted, and the grid-connected energy storage converter of the area is controlled based on the adjusted target control strategy.

[0071] In some exemplary embodiments, the computer device can adjust the target control strategy of the area when it determines that the operating environment and operating parameters of any area in the areas have changed based on the operating environment of each area and the operating parameters of the grid-type energy storage inverter in each area obtained through real-time monitoring.

[0072] Specifically, the computer device may adjust the target control strategy of the area based on the changed operating environment and operating parameters.

[0073] Furthermore, after obtaining the adjusted target control strategy, the computer device can control the grid-connected energy storage converter in the area based on the adjusted target control strategy.

[0074] The above-mentioned grid-type energy storage converter control method, device, computer equipment, computer-readable storage medium and computer program product first obtain the operating data of each area in the power system and determine the scenario type of each area based on the operating data; the operating data includes grid parameters, new energy generation data and load characteristic data; then determine the target control strategy of each area according to the scenario type of each area, and after controlling the grid-type energy storage converter in each area based on the target control strategy of each area, monitor the operating environment of each area and the operating parameters of the grid-type energy storage converter in each area; then, when the operating environment and operating parameters of any area in the areas change, adjust the target control strategy of the area, and control the grid-type energy storage converter in the area based on the adjusted target control strategy. The grid-type energy storage converter control method provided in the present application adopts different control strategies to control the grid-type energy storage converter according to different scenario types. Compared with the prior art that adopts a single control strategy to control the grid-type energy storage converter, it can achieve better control effect, thereby effectively improving the efficiency of the grid-type energy storage converter.

[0075] In some exemplary embodiments, Figure 2 As shown, determining the scene type of each area based on the operating data includes the following steps:

[0076] Step 201: Perform data analysis on the operation data based on a cluster analysis algorithm and a principal component analysis algorithm to obtain analysis results of the operation data.

[0077] Clustering algorithms group data objects into multiple "clusters," where objects within a cluster have high similarity and objects across clusters have low similarity. These algorithms can include K-means, hierarchical clustering, and DBSCAN.

[0078] The principal component analysis algorithm refers to a statistical method that reduces the dimensionality of high-dimensional data through orthogonal transformation. It aims to replace the original variables with a few comprehensive variables (principal components) while retaining the main information of the original data.

[0079] In some exemplary embodiments, after obtaining the operating data of each area, the computer device may transmit the operating data to a regional scene feature database, and the regional scene feature database may classify, store, and manage the operating data.

[0080] Furthermore, the computer device may perform data analysis on the operation data based on a cluster analysis algorithm and a principal component analysis algorithm to obtain analysis results of the operation data.

[0081] Step 202: Determine the scene type of each area based on the analysis results of the operating data.

[0082] Among them, the scenario types include weak power grid area types and high new energy penetration area types.

[0083] For example, a weak grid area refers to an area with a weak grid structure, limited power supply capacity, and poor operational stability. It is usually characterized by large voltage fluctuations, low short-circuit capacity, and weak fault recovery capabilities, making it difficult to withstand large-scale power fluctuations or new energy access.

[0084] Areas with high new energy penetration rates refer to areas where the installed capacity or output of new energy exceeds a certain threshold. They usually face challenges such as large power fluctuations, high peak-shaving pressure on the power grid, and insufficient support capacity of traditional power sources.

[0085] In some exemplary embodiments, after the computer device performs data analysis and processing on the operating data based on the cluster analysis algorithm and the principal component analysis algorithm and obtains the analysis results of the operating data, it can determine the scene type of each area according to the analysis results of the operating data of each area.

[0086] For example, the computer device may determine that the scenario type of a region is a weak power grid region based on the analysis results of the operating data of the region. The computer device may also determine that the scenario type of the region is a high new energy penetration region based on the analysis results of the operating data of the region.

[0087] In some exemplary embodiments, the target control strategy of each area is determined according to the scene type of each area, including: if the scene type of any area in the areas is the weak power grid area type, then determining the target control strategy of the area to be the first control strategy.

[0088] Among them, the first control strategy is used to instruct the start of an improved control strategy based on a virtual synchronous generator, and the improved control strategy based on a virtual synchronous generator includes: adjusting the output impedance of the grid-type energy storage converter in the area and adjusting the reactive output of the grid-type energy storage converter in the area.

[0089] In some exemplary embodiments, after the computer device determines the scenario type of each area based on the analysis results of the operating data, if it is determined that the scenario type of a certain area is a weak power grid area type, it can determine that the target control strategy of the area is the first control strategy.

[0090] Specifically, the first control strategy is used to indicate the start of an improved control strategy based on a virtual synchronous generator. The improved control strategy based on a virtual synchronous generator specifically includes: increasing the virtual impedance of the grid-type energy storage converter through a control algorithm to enhance the converter's ability to control the grid voltage, and adjusting the reactive output of the grid-type energy storage converter according to the reactive power demand of the grid to achieve precise reactive compensation.

[0091] In some exemplary embodiments, the target control strategy of each area is determined according to the scene type of each area, including: if the scene type of any area in the areas is the high new energy penetration area, then the target control strategy of the area is determined to be the second control strategy.

[0092] Among them, the second control strategy is used to indicate the start of power smoothing control and frequency tracking control strategy, and the power smoothing control and frequency tracking control strategy includes: controlling the charging / discharging of the grid-type energy storage converter in the area according to the power change prediction value of the new energy, and adjusting the active power of the grid-type energy storage converter in the area according to the grid frequency deviation.

[0093] In some exemplary embodiments, after the computer device determines the scene type of each area based on the analysis results of the operating data, if the scene type of a certain area is determined to be a high new energy penetration area, the target control strategy of the area can be determined to be the second control strategy.

[0094] Specifically, the second control strategy is used to indicate the start of power smoothing control and frequency tracking control strategy, which specifically includes: predicting the power change trend of new energy, and determining the power change prediction value of new energy based on the power change trend of new energy, and controlling the charging / discharging of the grid-type energy storage converter in the area according to the power change prediction value of new energy, and adjusting the active power of the grid-type energy storage converter in the area according to the grid frequency deviation.

[0095] In some optional embodiments of the present application, load characteristics in different regions also differ. For example, areas with concentrated industrial loads have higher requirements for power quality, while areas with mainly residential loads are more sensitive to voltage stability.

[0096] In some exemplary embodiments, Figure 3 As shown, the target control strategy for this area is adjusted, including the following steps:

[0097] Step 301: Obtain the changed operating environment and operating parameters of the region.

[0098] For example, the change in the operating environment may be a power grid failure, a sudden change in renewable energy generation, a load change, etc. The change in the operating parameter may be a change in the current, voltage, or power of the grid-connected energy storage converter, etc.

[0099] In some exemplary embodiments, after the computer device controls the grid-type energy storage inverter in each area based on the target control strategy of each area, it can use sensors to detect the operating environment of each area and the operating parameters of the grid-type energy storage inverter in each area in real time.

[0100] Furthermore, when the operating environment and operating parameters of any area in each area change, the computer device can use sensors to obtain the changed operating environment and operating parameters of the area.

[0101] Step 302: Adjust the target control strategy for the area according to the changed operating environment and operating parameters of the area.

[0102] In some exemplary embodiments, after obtaining the changed operating environment and operating parameters of the area, the computer device may adjust the target control strategy of the area according to the changed operating environment and operating parameters of the area.

[0103] Specifically, the computer device can input the changed operating environment, operating parameters and target control strategy of the area into a pre-trained strategy adjustment model, so that the strategy adjustment model adjusts the target control strategy of the area based on the changed operating environment and operating parameters of the area.

[0104] In some exemplary embodiments, Figure 4 As shown, adjusting the target control strategy of the area according to the changed operating environment and operating parameters of the area includes the following steps:

[0105] Step 401: Determine the voltage deviation, the real-time power demand of the power source in the area, and the real-time power demand of the load in the area according to the changed operating parameters of the area.

[0106] In some exemplary embodiments, after acquiring the changed operating environment and operating parameters, the computer device may determine the voltage deviation according to the changed operating parameters of the region.

[0107] Specifically, the computer device may determine the voltage deviation according to the voltage amplitude and voltage phase in the changed operating parameters.

[0108] Furthermore, the computer device may also determine the real-time power demand of the power source in the area and the real-time power demand of the load in the area according to the changed operating parameters of the area.

[0109] Step 402: Determine the regional characteristics and frequency change information of the region according to the changed operating environment and operating parameters of the region.

[0110] In some exemplary embodiments, after acquiring the changed operating environment and operating parameters, the computer device may determine the regional characteristics and frequency change information of the area according to the changed operating environment and operating parameters of the area.

[0111] Step 403: Adjust the target control strategy of the area based on the voltage deviation, the real-time power demand of the power source in the area, the real-time power demand of the load in the area, the regional characteristics of the area, and the frequency change information.

[0112] In some exemplary embodiments, after obtaining the voltage deviation, the real-time power demand of the power supply in the area, the real-time power demand of the load in the area, the regional characteristics of the area, and the frequency change information, the computer device can adjust the target control strategy of the area based on the voltage deviation, the real-time power demand of the power supply in the area, the real-time power demand of the load in the area, the regional characteristics of the area, and the frequency change information.

[0113] Specifically, the computer equipment can use a proportional-integral controller to adjust the output voltage amplitude and phase of the grid-type energy storage converter according to the voltage deviation, so that it keeps synchronization with the grid voltage and maintains voltage stability.

[0114] Computer equipment can adjust the virtual inertia and damping coefficient of the grid-type energy storage converter based on regional characteristics and frequency variation information. In areas with large load variations, the virtual inertia is appropriately increased to improve the system's resistance to frequency changes; in areas with frequent frequency fluctuations, the damping coefficient is increased to suppress frequency oscillations.

[0115] Computer equipment can use optimization algorithms to adjust the active and reactive power distribution schemes of grid-connected energy storage inverters based on the real-time power demands of the power sources and loads within the area. For example, in areas with concentrated industrial loads, the active power demands of industrial loads are prioritized to ensure normal production. In areas with residential loads, reactive power is rationally allocated based on voltage monitoring results to maintain voltage stability.

[0116] Furthermore, the computer device can adjust the target control strategy of the area based on the adjusted output voltage amplitude and phase of the grid-type energy storage inverter, the adjusted virtual inertia and damping coefficient of the grid-type energy storage inverter, and the adjusted active and reactive power distribution scheme of the grid-type energy storage inverter.

[0117] In an optional embodiment of the present application, after the computer device adjusts the target control strategy of the area based on the voltage deviation, the real-time power demand of the power supply in the area, the real-time power demand of the load in the area, the regional characteristics of the area and the frequency change information, it can control the grid-type energy storage inverter of the area based on the adjusted target control strategy.

[0118] Furthermore, after controlling the grid-type energy storage converters in the areas based on the adjusted target control strategy, the computer device executes the step of monitoring the operating environment of each area and the operating parameters of the grid-type energy storage converters in each area.

[0119] In some exemplary embodiments, Figure 5 As shown, another grid-type energy storage converter control method is provided, which includes the following steps:

[0120] Step 501: Acquire operating data of each region in the power system, the operating data including grid parameters, renewable energy generation data, and load characteristic data; perform data analysis and processing on the operating data based on a cluster analysis algorithm and a principal component analysis algorithm to obtain analysis results of the operating data; determine a scenario type for each region based on the analysis results of the operating data, the scenario type including a weak grid region type and a high renewable energy penetration region type;

[0121] Step 502: If the scenario type of any area in each area is the weak power grid area type, determine that the target control strategy of the area is the first control strategy; the first control strategy is used to instruct to start the improved control strategy based on the virtual synchronous generator, and the improved control strategy based on the virtual synchronous generator includes: adjusting the output impedance of the grid-type energy storage converter in the area and adjusting the reactive output of the grid-type energy storage converter in the area;

[0122] Step 503: If the scenario type of any area in each area is the high new energy penetration area, determine that the target control strategy of the area is the second control strategy; the second control strategy is used to indicate the start of the power smoothing control and frequency tracking control strategy, and the power smoothing control and frequency tracking control strategy includes: controlling the charging / discharging of the grid-type energy storage converter in the area according to the power change prediction value of the new energy, and adjusting the active power of the grid-type energy storage converter in the area according to the grid frequency deviation;

[0123] Step 504: After controlling the grid-type energy storage converters in each area based on the target control strategy for each area, monitor the operating environment of each area and the operating parameters of the grid-type energy storage converters in each area; if the operating environment and operating parameters of any area in the areas change, obtain the changed operating environment and operating parameters of the area; and determine the voltage deviation, the real-time power demand of the power supply in the area, and the real-time power demand of the load in the area based on the changed operating parameters of the area.

[0124] Step 505: Determine the regional characteristics and frequency change information of the area based on the changed operating environment and operating parameters of the area; adjust the target control strategy of the area based on the voltage deviation, the real-time power demand of the power supply in the area, the real-time power demand of the load in the area, the regional characteristics and frequency change information of the area, and control the grid-connected energy storage converter in the area based on the adjusted target control strategy.

[0125] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0126] Based on the same inventive concept, the present application also provides a grid-type energy storage converter control device for implementing the aforementioned grid-type energy storage converter control method. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more of the following embodiments of the grid-type energy storage converter control device can be found in the above-mentioned limitations of the grid-type energy storage converter control method and will not be further elaborated here.

[0127] In an exemplary embodiment, Figure 6 As shown, a grid-type energy storage converter control device 600 is provided, comprising: an acquisition module 601, a determination module 602 and an execution module 603, wherein:

[0128] Acquisition module 601 is used to acquire operating data of each area in the power system and determine the scenario type of each area based on the operating data; the operating data includes grid parameters, renewable energy generation data and load characteristic data;

[0129] Determination module 602, for determining a target control strategy for each area according to the scenario type of each area, and after controlling the grid-type energy storage converter in each area based on the target control strategy of each area, monitoring the operating environment of each area and the operating parameters of the grid-type energy storage converter in each area;

[0130] The execution module 603 is used to adjust the target control strategy of any area in each area when the operating environment and operating parameters of the area change, and control the grid-connected energy storage converter in the area based on the adjusted target control strategy.

[0131] In one embodiment, the acquisition module 601 is specifically used to perform data analysis and processing on the operating data based on a cluster analysis algorithm and a principal component analysis algorithm to obtain analysis results of the operating data; and determine the scenario type of each area according to the analysis results of the operating data, and the scenario type includes a weak power grid area type and a high new energy penetration area type.

[0132] In one embodiment, the determination module 602 is specifically used to determine that the target control strategy of any area in each area is the first control strategy if the scenario type of the area is the weak power grid area type; the first control strategy is used to indicate the start of an improved control strategy based on a virtual synchronous generator, and the improved control strategy based on a virtual synchronous generator includes: adjusting the output impedance of the grid-type energy storage inverter in the area, and adjusting the reactive output of the grid-type energy storage inverter in the area.

[0133] In one embodiment, the determination module 602 is specifically used to determine that the target control strategy of any area in each area is the high new energy penetration area as the second control strategy; the second control strategy is used to indicate the start of power smoothing control and frequency tracking control strategy, and the power smoothing control and frequency tracking control strategy includes: controlling the charging / discharging of the grid-type energy storage inverter in the area according to the power change prediction value of the new energy, and adjusting the active power of the grid-type energy storage inverter in the area according to the grid frequency deviation.

[0134] In one embodiment, the execution module 603 is specifically configured to obtain the changed operating environment and operating parameters of the region; and adjust the target control strategy of the region according to the changed operating environment and operating parameters of the region.

[0135] In one embodiment, the execution module 603 is specifically used to determine the voltage deviation, the real-time power demand of the power supply in the area, and the real-time power demand of the load in the area based on the changed operating parameters of the area; determine the regional characteristics and frequency change information of the area based on the changed operating environment and operating parameters of the area; and adjust the target control strategy of the area based on the voltage deviation, the real-time power demand of the power supply in the area, the real-time power demand of the load in the area, the regional characteristics of the area, and the frequency change information.

[0136] Each module in the aforementioned grid-type energy storage converter control device can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in hardware form, or can be stored in a computer device memory in software form, so that the processor can call and execute the corresponding operations of each module.

[0137] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 7 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O) and a communication interface. The processor, memory and input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the computer device is used to store data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a grid-type energy storage converter control method is implemented.

[0138] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 8 As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner. The wireless manner can be implemented through WIFI, a mobile cellular network, near field communication (NFC), or other technologies. When the computer program is executed by the processor, a control method for a networked energy storage converter is implemented.

[0139] Those skilled in the art will understand that Figure 7 and Figure 8 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0140] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0141] Obtaining operational data for each area of ​​the power system and determining the scenario type for each area based on the operational data; the operational data includes grid parameters, renewable energy generation data, and load characteristic data;

[0142] Determine the target control strategy for each area according to the scenario type of each area, and after controlling the grid-type energy storage converter in each area based on the target control strategy of each area, monitor the operating environment of each area and the operating parameters of the grid-type energy storage converter in each area;

[0143] When the operating environment and operating parameters of any area in each area change, the target control strategy of the area is adjusted, and the grid-type energy storage converter of the area is controlled based on the adjusted target control strategy.

[0144] In one embodiment, when the processor executes the computer program, it also implements the following steps: based on the cluster analysis algorithm and the principal component analysis algorithm, the operating data is subjected to data analysis and processing to obtain analysis results of the operating data; based on the analysis results of the operating data, the scenario type of each area is determined, and the scenario type includes a weak power grid area type and a high new energy penetration area type.

[0145] In one embodiment, when the processor executes the computer program, the following steps are also implemented: if the scenario type of any area in each area is the weak power grid area type, the target control strategy of the area is determined to be the first control strategy; the first control strategy is used to indicate the start of an improved control strategy based on a virtual synchronous generator, and the improved control strategy based on the virtual synchronous generator includes: adjusting the output impedance of the grid-type energy storage inverter in the area, and adjusting the reactive output of the grid-type energy storage inverter in the area.

[0146] In one embodiment, when the processor executes the computer program, the following steps are also implemented: if the scenario type of any area in each area is the high new energy penetration area, the target control strategy of the area is determined to be the second control strategy; the second control strategy is used to indicate the start of the power smoothing control and frequency tracking control strategy, and the power smoothing control and frequency tracking control strategy includes: controlling the charging / discharging of the grid-type energy storage inverter in the area according to the power change prediction value of the new energy, and adjusting the active power of the grid-type energy storage inverter in the area according to the grid frequency deviation.

[0147] In one embodiment, when executing the computer program, the processor further implements the following steps: obtaining the changed operating environment and operating parameters of the area; and adjusting the target control strategy of the area according to the changed operating environment and operating parameters of the area.

[0148] In one embodiment, when the processor executes the computer program, it also implements the following steps: determining the voltage deviation, the real-time power demand of the power supply in the area, and the real-time power demand of the load in the area based on the changed operating parameters of the area; determining the regional characteristics and frequency change information of the area based on the changed operating environment and operating parameters of the area; and adjusting the target control strategy of the area based on the voltage deviation, the real-time power demand of the power supply in the area, the real-time power demand of the load in the area, the regional characteristics of the area, and the frequency change information.

[0149] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0150] Obtaining operational data for each area of ​​the power system and determining the scenario type for each area based on the operational data; the operational data includes grid parameters, renewable energy generation data, and load characteristic data;

[0151] Determine the target control strategy for each area according to the scenario type of each area, and after controlling the grid-type energy storage converter in each area based on the target control strategy of each area, monitor the operating environment of each area and the operating parameters of the grid-type energy storage converter in each area;

[0152] When the operating environment and operating parameters of any area in each area change, the target control strategy of the area is adjusted, and the grid-type energy storage converter of the area is controlled based on the adjusted target control strategy.

[0153] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: based on the cluster analysis algorithm and the principal component analysis algorithm, data analysis and processing are performed on the operating data to obtain analysis results of the operating data; based on the analysis results of the operating data, the scenario type of each area is determined, and the scenario type includes a weak power grid area type and a high new energy penetration area type.

[0154] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: if the scenario type of any area in each area is the weak power grid area type, the target control strategy of the area is determined to be the first control strategy; the first control strategy is used to indicate the start of an improved control strategy based on a virtual synchronous generator, and the improved control strategy based on the virtual synchronous generator includes: adjusting the output impedance of the grid-type energy storage inverter in the area, and adjusting the reactive output of the grid-type energy storage inverter in the area.

[0155] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: if the scenario type of any area in each area is the high new energy penetration area, the target control strategy of the area is determined to be the second control strategy; the second control strategy is used to indicate the start of the power smoothing control and frequency tracking control strategy, and the power smoothing control and frequency tracking control strategy includes: controlling the charging / discharging of the grid-type energy storage inverter in the area according to the power change prediction value of the new energy, and adjusting the active power of the grid-type energy storage inverter in the area according to the grid frequency deviation.

[0156] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: obtaining the changed operating environment and operating parameters of the area; and adjusting the target control strategy of the area according to the changed operating environment and operating parameters of the area.

[0157] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: determining the voltage deviation, the real-time power demand of the power supply in the area, and the real-time power demand of the load in the area based on the changed operating parameters of the area; determining the regional characteristics and frequency change information of the area based on the changed operating environment and operating parameters of the area; and adjusting the target control strategy of the area based on the voltage deviation, the real-time power demand of the power supply in the area, the real-time power demand of the load in the area, the regional characteristics of the area, and the frequency change information.

[0158] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0159] Obtaining operational data for each area of ​​the power system and determining the scenario type for each area based on the operational data; the operational data includes grid parameters, renewable energy generation data, and load characteristic data;

[0160] Determine the target control strategy for each area according to the scenario type of each area, and after controlling the grid-type energy storage converter in each area based on the target control strategy of each area, monitor the operating environment of each area and the operating parameters of the grid-type energy storage converter in each area;

[0161] When the operating environment and operating parameters of any area in each area change, the target control strategy of the area is adjusted, and the grid-type energy storage converter of the area is controlled based on the adjusted target control strategy.

[0162] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: based on the cluster analysis algorithm and the principal component analysis algorithm, data analysis and processing are performed on the operating data to obtain analysis results of the operating data; based on the analysis results of the operating data, the scenario type of each area is determined, and the scenario type includes a weak power grid area type and a high new energy penetration area type.

[0163] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: if the scenario type of any area in each area is the weak power grid area type, the target control strategy of the area is determined to be the first control strategy; the first control strategy is used to indicate the start of an improved control strategy based on a virtual synchronous generator, and the improved control strategy based on the virtual synchronous generator includes: adjusting the output impedance of the grid-type energy storage inverter in the area, and adjusting the reactive output of the grid-type energy storage inverter in the area.

[0164] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: if the scenario type of any area in each area is the high new energy penetration area, the target control strategy of the area is determined to be the second control strategy; the second control strategy is used to indicate the start of the power smoothing control and frequency tracking control strategy, and the power smoothing control and frequency tracking control strategy includes: controlling the charging / discharging of the grid-type energy storage inverter in the area according to the power change prediction value of the new energy, and adjusting the active power of the grid-type energy storage inverter in the area according to the grid frequency deviation.

[0165] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: obtaining the changed operating environment and operating parameters of the area; and adjusting the target control strategy of the area according to the changed operating environment and operating parameters of the area.

[0166] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: determining the voltage deviation, the real-time power demand of the power supply in the area, and the real-time power demand of the load in the area based on the changed operating parameters of the area; determining the regional characteristics and frequency change information of the area based on the changed operating environment and operating parameters of the area; and adjusting the target control strategy of the area based on the voltage deviation, the real-time power demand of the power supply in the area, the real-time power demand of the load in the area, the regional characteristics of the area, and the frequency change information.

[0167] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. In particular, any reference to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), quantum computing-based data processing logic devices, artificial intelligence (AI) processors, and the like.

[0168] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0169] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A control method for a grid-type energy storage converter, characterized in that: The method comprises: Acquiring operating data of each area in the power system and determining the scenario type of each area based on the operating data; the operating data includes grid parameters, renewable energy generation data, and load characteristic data; Determining a target control strategy for each of the areas according to the scenario type of each of the areas, and after controlling the grid-type energy storage converter in each of the areas based on the target control strategy of each of the areas, monitoring the operating environment of each of the areas and the operating parameters of the grid-type energy storage converter in each of the areas; When the operating environment and operating parameters of any of the areas change, the target control strategy of the area is adjusted, and the grid-connected energy storage converter of the area is controlled based on the adjusted target control strategy.

2. The method according to claim 1, characterized in that The determining the scene type of each of the areas according to the operating data includes: Performing data analysis on the operating data based on a cluster analysis algorithm and a principal component analysis algorithm to obtain an analysis result of the operating data; The scenario type of each of the areas is determined based on the analysis results of the operating data, and the scenario type includes a weak power grid area type and a high new energy penetration area type.

3. The method according to claim 2, characterized in that Determining the target control strategy for each area according to the scene type of each area includes: If the scenario type of any area in the areas is the weak power grid area type, determining that the target control strategy of the area is the first control strategy; The first control strategy is used to instruct the start of an improved control strategy based on a virtual synchronous generator, and the improved control strategy based on a virtual synchronous generator includes: adjusting the output impedance of the grid-type energy storage converter in the area and adjusting the reactive output of the grid-type energy storage converter in the area.

4. The method according to claim 2, characterized in that Determining the target control strategy for each area according to the scene type of each area includes: If the scenario type of any area in the areas is the high new energy penetration area, determining that the target control strategy of the area is the second control strategy; The second control strategy is used to indicate the start-up of power smoothing control and frequency tracking control strategies, which include: controlling the charging / discharging of the grid-type energy storage converter in the area according to the predicted value of the power change of the new energy, and adjusting the active power of the grid-type energy storage converter in the area according to the grid frequency deviation.

5. The method according to claim 1, wherein The adjusting of the target control strategy of the area includes: Obtaining the changed operating environment and operating parameters of the region; The target control strategy of the area is adjusted according to the changed operating environment and operating parameters of the area.

6. The method according to claim 5, characterized in that The adjusting the target control strategy of the area according to the changed operating environment and operating parameters of the area includes: determining a voltage deviation, a real-time power demand of a power source in the area, and a real-time power demand of a load in the area according to the changed operating parameters of the area; determining regional characteristics and frequency change information of the region according to the changed operating environment and operating parameters of the region; The target control strategy of the area is adjusted based on the voltage deviation, the real-time power demand of the power source in the area, the real-time power demand of the load in the area, the area characteristics of the area, and the frequency change information.

7. A grid-type energy storage converter control device, characterized in that: The device comprises: An acquisition module is configured to acquire operating data of each area in the power system and determine the scenario type of each area based on the operating data; the operating data includes grid parameters, renewable energy generation data, and load characteristic data; a determination module, configured to determine a target control strategy for each of the areas according to the scenario type of each of the areas, and after controlling the grid-type energy storage converter in each of the areas based on the target control strategy of each of the areas, monitor the operating environment of each of the areas and the operating parameters of the grid-type energy storage converter in each of the areas; The execution module is used to adjust the target control strategy of any area in the areas when the operating environment and operating parameters of the areas change, and control the grid-type energy storage converter in the areas based on the adjusted target control strategy.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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