Configuration method and device of energy storage power station, electronic equipment and storage medium

Abstract

The invention discloses a configuration method and device for an energy storage power station, electronic equipment and a storage medium, and belongs to the field of energy storage configuration.The method comprises the steps that electrical parameters of all nodes of a power grid section, various generator tripping plans under section faults and the total section power before generator tripping are obtained, load flow calculation is conducted on each generator tripping plan, and a load flow calculation result is obtained; and generating the total section power after generator tripping of each generator tripping plan, calculating a corresponding sensitivity index, and selecting the generator tripping plan with the maximum sensitivity as a target generator tripping plan. Based on the target generator tripping plan, extracting the thermal stability limit, the new energy full power, the installation total amount and the short-circuit ratio of the target new energy node, calculating the new energy node generator tripping total amount in combination with the new energy unit generator tripping amount, determining the configuration requirement of the energy storage power station according to the comparison of the thermal stability limit and the full power and the short-circuit ratio threshold, and determining the energy storage capacity. Site selection and capacity configuration of the energy storage power station are realized; by implementing the invention, the problem of insufficient configuration accuracy of the energy storage power station in the prior art can be solved.

Description

Technical Field

[0001] This invention relates to the field of energy storage power station configuration technology, specifically to a configuration method, apparatus, electronic equipment, and storage medium for an energy storage power station. Background Technology

[0002] As the penetration rate of new energy power generation in the power system continues to increase, the requirements for the grid's dispatch and management of new energy output are also becoming increasingly stringent. A grid section refers to a monitoring area formed by selecting several key transmission lines within the grid topology. The power flow on this section reflects the dynamic changes in load and generation distribution, serving as a crucial basis for grid security analysis and dispatch decisions. When the power transmission capacity of a transmission line within a section decreases due to faults or operational limitations, a grid section fault occurs. Such faults can trigger voltage fluctuations, abnormal power flow migrations, and even threaten the stable operation of the entire power system. To cope with such emergencies, dispatching departments need to take rapid control measures, the most common of which is generator tripping—that is, actively cutting off the output of some generating units to alleviate the operational pressure on the section or equipment. In actual dispatching, new energy units are usually prioritized for tripping due to their rapid response capabilities. However, frequent new energy generator tripping not only affects the efficiency of new energy absorption but may also reduce the overall regulation capacity of the system.

[0003] To reduce reliance on the shutdown of renewable energy generating units, deploying energy storage power stations has become an effective technological means. Energy storage power stations can rapidly release power in the event of a fault, suppressing power fluctuations across the grid and thus reducing the need to shut down renewable energy generating units. However, due to the nodal limitations of energy storage's regulation capabilities, it must be deployed at renewable energy nodes with regulation requirements to fully realize its rapid regulation function.

[0004] However, the configuration of energy storage power stations in existing technologies largely relies on human experience, which can easily lead to the deployment of energy storage power stations on new energy nodes that do not have regulation needs. This results in insufficient accuracy in the configuration of energy storage power stations, making it impossible to achieve the optimal site and capacity configuration of energy storage power stations, thereby affecting the regulation effect of energy storage power stations and the overall operational security of the power grid. Summary of the Invention

[0005] This invention provides a configuration method, apparatus, electronic device, and storage medium for an energy storage power station, which can solve the problem of insufficient accuracy in the configuration of energy storage power stations in the prior art.

[0006] One embodiment of the present invention provides a configuration method for an energy storage power station, comprising: The system acquires the electrical parameters of each node in a power grid section, several generator tripping plans when a fault occurs in the power grid section, and the total power of the section before the tripping. The nodes include renewable energy nodes; each renewable energy node corresponds to one or more renewable energy generating units; the tripping plan includes tripping combinations and the amount of generating units to be tripped in each tripping combination; at least one renewable energy generating unit is included in the tripping combination as the unit to be tripped. For each tripping plan, based on the current tripping plan and the electrical parameters of each node in the power grid section, power flow calculation is performed on the power grid section to generate the total power of the section after the tripping under the current tripping plan; based on the total power of the section before the tripping, the total power of the section after the tripping, and the current tripping plan, the sensitivity of generating the current tripping plan is calculated. The generator switching plan with the highest sensitivity is selected from all the switching plans as the target switching plan; the new energy nodes corresponding to the new energy units in the target switching plan are selected as the target new energy nodes. From the electrical parameters of each node in the power grid section, the thermal stability limit, full power generation of new energy, total installed capacity and short-circuit ratio of the target new energy node are extracted. Based on the amount of new energy units to be cut in the target cut-off plan, calculate the total amount of new energy units to be cut off for each target new energy node. For each target new energy node, if the thermal stability limit of the current target new energy node is greater than the full power generation of the new energy and the short-circuit ratio is greater than the preset short-circuit ratio threshold, it is determined that the current target new energy node will not be equipped with an energy storage station; otherwise, it is determined that the current target new energy node will be equipped with an energy storage station. When determining the configuration of an energy storage power station for the current target renewable energy node, the energy storage capacity of the energy storage power station configured for the current target renewable energy node is determined based on the thermal stability limit, full power generation of renewable energy, total installed capacity, and total offload capacity of the current target renewable energy node; and the energy storage power station is configured according to the energy storage capacity.

[0007] Furthermore, the sensitivity of generating all-machine plans is calculated using the following formula: in, For the first The sensitivity of the cutting machine plan; The total power of the section before the cutting machine; For the first The total power of the section after the cutting machine in the cutting machine plan; For the first The total number of machines to be cut in the cut-off plan.

[0008] Furthermore, from the electrical parameters of each node in the power grid section, the thermal stability limit, full-capacity power generation of the target renewable energy node, total installed capacity, and short-circuit ratio are extracted, including: Obtain the topology of the power grid section and the line parameters of the power grid section; Based on the topology of the power grid section, the line parameters of the power grid section, and the electrical parameters of each node of the power grid section, an electrical equivalent model of the power grid section is constructed. From the electrical parameters of each node in the power grid section, extract the rated capacity of each new energy unit corresponding to the target new energy node, and the transmission power limit of each transmission line corresponding to the target new energy node. The minimum transmission power limit is selected from the transmission power limits of each transmission line corresponding to the target new energy node, and is taken as the thermal stability limit of the target new energy node. The output of each renewable energy unit corresponding to the target renewable energy node is set to the rated capacity. Power flow calculation is performed based on the electrical equivalent model of the power grid section to generate the transmission power of each transmission line corresponding to the target renewable energy node. Based on the transmission power of each transmission line corresponding to the target renewable energy node, the full renewable energy generation power of the target renewable energy node is calculated. The total installed capacity of the target new energy node is calculated based on the rated capacity of each new energy unit corresponding to the target new energy node. Based on the total installed capacity of the target renewable energy nodes, short-circuit simulations are performed on the target renewable energy nodes using the electrical equivalent model of the power grid section, and the short-circuit ratio of the target renewable energy nodes is generated.

[0009] Furthermore, based on the thermal stability limit, full-capacity power generation of new energy sources, total installed capacity, and total offloading capacity of the current target new energy node, the energy storage capacity of the energy storage power station configured for the current target new energy node is determined, including: If the thermal stability limit of the current target renewable energy node is not greater than the full power generation of the renewable energy and the short-circuit ratio is less than the preset short-circuit ratio threshold, the redundancy power margin of the current target renewable energy node is calculated based on the thermal stability limit and the full power generation of the renewable energy; the total installed capacity of the current target renewable energy node is calculated based on the preset installed capacity ratio coefficient and the total installed capacity; the maximum value among the redundancy power margin, the total installed capacity fixed value, and the total number of units cut off is selected as the energy storage capacity of the energy storage power station configured for the current target renewable energy node. Under the condition that the thermal stability limit of the current target renewable energy node is not greater than the full power of renewable energy and the short-circuit ratio is not less than the preset short-circuit ratio threshold, the redundancy power margin of the current target renewable energy node is calculated and generated based on the thermal stability limit and the full power of renewable energy; the maximum value between the redundancy power margin and the total number of generators cut off is selected as the energy storage capacity of the energy storage power station configured for the current target renewable energy node. When the thermal stability limit of the current target renewable energy node is greater than the full power generation of renewable energy and the short-circuit ratio is less than the preset short-circuit ratio threshold, a fixed value of the total installed capacity of the current target renewable energy node is calculated and generated based on the preset installed capacity ratio coefficient and the total installed capacity; the maximum value between the fixed value of the total installed capacity and the total number of units cut off is selected as the energy storage capacity of the energy storage power station configured for the current target renewable energy node.

[0010] Furthermore, the redundancy power margin of the target renewable energy node is calculated using the following formula: in, For the first Redundancy power margin of each target new energy node; For the first The thermal stability limit of each target new energy node; For the first The target new energy node achieves full-capacity new energy power generation.

[0011] Furthermore, the total installed capacity of the target new energy node is calculated and fixed using the following formula: in, For the first The total installed capacity of each target new energy node is a fixed value; For the first The total installed capacity of each target new energy node; This is the preset installation ratio coefficient.

[0012] Based on the above method embodiments, the present invention provides corresponding apparatus embodiments.

[0013] An embodiment of the present invention provides a configuration device for an energy storage power station, including: a data acquisition module, a sensitivity analysis module, a target new energy node determination module, and an energy storage power station configuration module; The data acquisition module is used to acquire the electrical parameters of each node of the power grid section, several generator tripping plans when there is a fault in the power grid section, and the total power of the section before the generator tripping; wherein, the node includes a new energy node; the new energy node corresponds to one or more new energy generating units; the generator tripping plan includes a generator tripping combination and the amount of generators to be cut in each generator tripping combination; at least one new energy generating unit is cut in the generator tripping combination; The sensitivity analysis module is used to perform power flow calculations on the power grid section for each tripping plan, based on the current tripping plan and the electrical parameters of each node in the power grid section, to generate the total power of the section after the tripping under the current tripping plan; and to calculate and generate the sensitivity of the current tripping plan based on the total power of the section before the tripping, the total power of the section after the tripping, and the current tripping plan. The target renewable energy node determination module is used to select the most sensitive power-switching plan from each power-switching plan as the target power-switching plan; and to select the renewable energy node corresponding to the renewable energy unit in the target power-switching plan as the target renewable energy node. The energy storage power station configuration module is used to extract the thermal stability limit, full power generation, total installed capacity, and short-circuit ratio of the target renewable energy node from the electrical parameters of each node in the power grid section; calculate the total number of generators to be cut off for each target renewable energy node based on the number of generators to be cut off in the target generator cut-off plan; for each target renewable energy node, if the thermal stability limit of the current target renewable energy node is greater than the full power generation of the renewable energy and the short-circuit ratio is greater than a preset short-circuit ratio threshold, it is determined that the current target renewable energy node will not be configured with an energy storage power station; otherwise, it is determined that the current target renewable energy node will be configured with an energy storage power station; if the current target renewable energy node is determined to be configured with an energy storage power station, the energy storage capacity of the energy storage power station configured for the current target renewable energy node is determined based on the thermal stability limit, full power generation of the renewable energy, total installed capacity, and total number of generators to be cut off; and the energy storage power station is configured according to the energy storage capacity.

[0014] Furthermore, the energy storage power station configuration module extracts the thermal stability limit, full-capacity power generation, total installed capacity, and short-circuit ratio of the target renewable energy node from the electrical parameters of each node in the power grid section, including: Obtain the topology of the power grid section and the line parameters of the power grid section; Based on the topology of the power grid section, the line parameters of the power grid section, and the electrical parameters of each node of the power grid section, an electrical equivalent model of the power grid section is constructed. From the electrical parameters of each node in the power grid section, extract the rated capacity of each new energy unit corresponding to the target new energy node, and the transmission power limit of each transmission line corresponding to the target new energy node. The minimum transmission power limit is selected from the transmission power limits of each transmission line corresponding to the target new energy node, and is taken as the thermal stability limit of the target new energy node. The output of each renewable energy unit corresponding to the target renewable energy node is set to the rated capacity. Power flow calculation is performed based on the electrical equivalent model of the power grid section to generate the transmission power of each transmission line corresponding to the target renewable energy node. Based on the transmission power of each transmission line corresponding to the target renewable energy node, the full renewable energy generation power of the target renewable energy node is calculated. The total installed capacity of the target new energy node is calculated based on the rated capacity of each new energy unit corresponding to the target new energy node. Based on the total installed capacity of the target renewable energy nodes, short-circuit simulations are performed on the target renewable energy nodes using the electrical equivalent model of the power grid section, and the short-circuit ratio of the target renewable energy nodes is generated.

[0015] Based on the above method embodiments, the present invention provides corresponding electronic device embodiments.

[0016] An embodiment of the present invention provides an electronic device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the configuration method of the energy storage power station described in any of the above-described method embodiments.

[0017] Based on the above method embodiments, the present invention provides corresponding storage medium embodiments.

[0018] One embodiment of the present invention provides a storage medium storing a computer program thereon, wherein, when the computer program is running, it controls the device where the storage medium is located to execute the configuration method of any one of the above-described method embodiments of the energy storage power station.

[0019] Compared with the prior art, the present invention has the following beneficial effects: This invention provides a configuration method, apparatus, electronic device, and storage medium for an energy storage power station. The method acquires the electrical parameters of each node in a power grid section, various power-switching plans under section fault conditions, and the total power of the section before power-switching. Power flow calculations are performed on each power-switching plan to generate the total power of the section after power-switching for each plan, and corresponding sensitivity indices are calculated. The plan with the highest sensitivity is then selected as the target power-switching plan. Based on this target power-switching plan, electrical parameters such as the thermal stability limit, full-capacity power generation, total installed capacity, and short-circuit ratio of the target renewable energy nodes are extracted. The total power-switching capacity of the renewable energy nodes is calculated in conjunction with the power-switching amount of the renewable energy units. The configuration requirements of the energy storage power station are determined based on the comparison between the thermal stability limit and full-capacity power generation, as well as the short-circuit ratio threshold, and the energy storage capacity is determined, thus achieving a reasonable layout and capacity configuration of the energy storage power station.

[0020] This invention screens various generator tripping plans under grid fault conditions to determine the optimal target generator tripping plan, and based on this, identifies key target renewable energy nodes from all nodes. Combining these target renewable energy nodes with key parameters such as thermal stability limits, full-capacity renewable energy generation, installed capacity, and short-circuit ratio, the configuration requirements for energy storage power stations are further determined, completing a secondary screening of target renewable energy nodes. This ensures the rational distribution and precise allocation of energy storage resources. Compared to traditional experience-based methods, this invention employs a dual screening mechanism, effectively identifying suitable target renewable energy nodes for energy storage power station configuration, significantly improving the accuracy of energy storage configuration, enhancing the regulation capability of energy storage, and thus ensuring the safe and reliable operation of the power system. Attached Figure Description

[0021] Figure 1 This is a schematic flowchart of a configuration method for an energy storage power station provided in an embodiment of the present invention.

[0022] Figure 2 This is a schematic diagram of the configuration device of an energy storage power station provided in an embodiment of the present invention. Detailed Implementation

[0023] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] like Figure 1 As shown, to address the problem of insufficient accuracy in the configuration of energy storage power stations in existing technologies, an embodiment of the present invention provides a configuration method for an energy storage power station, comprising at least the following steps: Step S1: Obtain the electrical parameters of each node of the power grid section, several generator tripping plans when there is a fault in the power grid section, and the total power of the section before the generator tripping; wherein, the node includes a new energy node; the new energy node corresponds to one or more new energy generating units; the generator tripping plan includes a generator tripping combination and the amount of generators to be cut in each generator tripping combination; at least one new energy generating unit is cut in the generator tripping combination; It should be noted that the aforementioned power grid section refers to a monitoring area composed of several key transmission lines selected within the power grid topology, used to reflect the power distribution characteristics of the power grid under typical operating conditions. The power grid section includes multiple nodes, including renewable energy nodes and conventional power generation nodes. Renewable energy nodes are grid access points connected to renewable energy generating units such as wind power and photovoltaic power; one renewable energy node can connect one or more renewable energy generating units. Renewable energy generating units are characterized by large output fluctuations, high forecasting difficulty, and susceptibility to meteorological factors, resulting in significant uncertainties in the power system. Conventional power generation nodes correspond to traditional controllable generating units such as thermal power units, possessing good adjustability and operational stability.

[0025] The electrical parameters of the node include: the rated capacity of each generator set corresponding to the node, the transmission power limit of each transmission line corresponding to the node, the active and reactive load power at the node, the amplitude and phase angle of the node voltage, and the power factor, etc., which can reflect the power exchange characteristics and voltage support capability of the node.

[0026] A cross-sectional fault refers to an anomaly occurring on a critical transmission line constituting a specific cross-section of a power grid, such as tripping, overload, short circuit, or equipment failure, leading to a decrease or even failure of the overall power flow transmission capacity of that cross-section. When a cross-sectional fault occurs in the power grid, several generator tripping plans are typically formulated to ensure the safe and stable operation of the power system. A generator tripping plan refers to a generator unit disconnection scheme adopted under specific operating conditions to reduce the risk of faults. It includes the generator tripping combination and the amount of generators disconnected within each combination. The generator tripping combination represents a specific set of disconnected generators, specifying the amount of generators disconnected, i.e., the corresponding power reduction value. At least one renewable energy unit must be included in the generator tripping combination. The total power of the cross-section before the fault refers to the total active power transmission volume undertaken by all transmission lines within the cross-section before the fault occurred, reflecting the operating load level and power distribution status of the power grid.

[0027] It is understandable that thermal power units possess high controllability, high stability, and comprehensive peak-shaving and frequency-regulating capabilities. Even in the event of grid segment failures, thermal power units can usually cope by adjusting their output or participating in dispatching, thus generally requiring no additional energy storage systems. In contrast, the output of renewable energy units such as wind power and photovoltaic power exhibits significant volatility, intermittency, and unpredictability, making them more vulnerable to grid shocks. Therefore, in emergencies such as segment failures, these renewable energy units are often prioritized for shutdown by dispatching departments to quickly restore system balance. However, frequent shutdowns of renewable energy output weaken the overall regulation capability of the power system. To reduce reliance on renewable energy unit shutdowns, this invention focuses on renewable energy nodes. The logic is that by precisely configuring energy storage power stations for renewable energy nodes, necessary power support can be provided, thereby replacing direct shutdown of renewable energy units at critical moments and significantly improving their grid connection stability. Therefore, this invention makes clear limitations in selecting the analysis object, focusing only on shutdown plans that include renewable energy units. Although in theory some power plant cut-off plans may only involve thermal power units, they are not the subject of this analysis.

[0028] This step provides basic data support for subsequent screening of target power-switching plans, identification of target new energy nodes, and determination of energy storage configuration requirements by acquiring the electrical parameters of each node in the power grid section, several power-switching plans when there is a fault in the power grid section, and the total power of the section before power-switching.

[0029] Step S2: For each tripping plan, perform power flow calculation on the power grid section based on the current tripping plan and the electrical parameters of each node in the power grid section to generate the total power of the section after the tripping under the current tripping plan; calculate the sensitivity of generating the current tripping plan based on the total power of the section before the tripping, the total power of the section after the tripping, and the current tripping plan. Specifically, for each power grid cutoff plan, based on the known cutoff amounts of each unit in the plan, the output adjustment of the corresponding generating nodes is determined, and the topology information of the power grid section and the parameter data of each transmission line, such as line impedance and admittance, are obtained. Based on this, an electrical equivalent model of the power grid section is constructed. This equivalent model integrates the physical connections and transmission characteristics between nodes in the power grid, and can accurately reflect the power flow characteristics of the power grid under different operating conditions.

[0030] After the electrical equivalent model of the power grid section is constructed, the electrical parameters of each node within the section, including node voltage amplitude, active load, reactive load, and adjusted power generation output, are used to form the input data for the section's operating status under the current generator tripping plan. Conventional power flow calculation methods, such as the Newton-Raphson method or a simplified DC power flow algorithm, are then used to solve the constructed electrical equivalent model of the power grid section, obtaining the voltage state of each node and the active power distribution of each transmission line in the power grid section under the current operating conditions.

[0031] After obtaining the power flow calculation results, the active power transmission of all transmission lines within the cross-section is further statistically analyzed and summed to obtain the total power of the cross-section after the current power generation plan. This indicator can quantitatively reflect the adjustment effect of the power generation plan on the power distribution of the power grid cross-section. It is not only an important basis for evaluating the feasibility of the power generation plan, but also provides basic support for subsequent identification of key new energy nodes and the formulation of targeted energy storage configuration strategies.

[0032] In an optional embodiment, the sensitivity of generating the all-machine plan is calculated using the following formula: in, For the first The sensitivity of the cutting machine plan; The total power of the section before the cutting machine; For the first The total power of the section after the cutting machine in the cutting machine plan; For the first The total number of machines to be cut in the cut-off plan.

[0033] This step involves performing power flow calculations on each tripping plan to obtain the total power of the section after tripping. Combined with the total power of the section before the tripping failure, the sensitivity of the current tripping plan is calculated. This effectively reflects the degree of impact of different tripping schemes on section power changes. Sensitivity reflects the ability of the tripping plan to adjust section power under section failure conditions, and is an important reference for selecting the optimal tripping scheme and guiding energy storage configuration.

[0034] Step S3: Select the generator switching plan with the highest sensitivity from all the switching plans as the target switching plan; and select the new energy nodes corresponding to the new energy units in the target switching plan as the target new energy nodes. Specifically, from multiple generator tripping plans, the plan with the highest sensitivity is selected as the final target tripping plan by comparing the sensitivity of each plan. A tripping plan with higher sensitivity means that it has a more significant impact on the power distribution and operating status of the grid section. Based on this target tripping plan, the renewable energy units involved are further identified, and the grid connection points of these renewable energy units are determined as target renewable energy nodes. By focusing on target renewable energy nodes, it is ensured that energy storage resources can prioritize supporting renewable energy nodes that have the greatest impact on grid stability, thereby improving the regulation effect and operational reliability of the entire power system under fault conditions.

[0035] Step S4: Extract the thermal stability limit, full power generation, total installed capacity and short-circuit ratio of the target new energy node from the electrical parameters of each node in the power grid section. In a preferred embodiment, the thermal stability limit, full-capacity power generation, total installed capacity, and short-circuit ratio of the target renewable energy node are extracted from the electrical parameters of each node in the power grid section, including: Obtain the topology of the power grid section and the line parameters of the power grid section; Based on the topology of the power grid section, the line parameters of the power grid section, and the electrical parameters of each node of the power grid section, an electrical equivalent model of the power grid section is constructed. From the electrical parameters of each node in the power grid section, extract the rated capacity of each new energy unit corresponding to the target new energy node, and the transmission power limit of each transmission line corresponding to the target new energy node. The minimum transmission power limit is selected from the transmission power limits of each transmission line corresponding to the target new energy node, and is taken as the thermal stability limit of the target new energy node. The output of each renewable energy unit corresponding to the target renewable energy node is set to the rated capacity. Power flow calculation is performed based on the electrical equivalent model of the power grid section to generate the transmission power of each transmission line corresponding to the target renewable energy node. Based on the transmission power of each transmission line corresponding to the target renewable energy node, the full renewable energy generation power of the target renewable energy node is calculated. The total installed capacity of the target new energy node is calculated based on the rated capacity of each new energy unit corresponding to the target new energy node. Based on the total installed capacity of the target renewable energy nodes, short-circuit simulations are performed on the target renewable energy nodes using the electrical equivalent model of the power grid section, and the short-circuit ratio of the target renewable energy nodes is generated.

[0036] Specifically, the topology and line parameters of the power grid cross-section are obtained to accurately reflect the connection relationships and electrical characteristics of the transmission lines within the cross-section. Based on the obtained cross-sectional topology, line parameters, and electrical parameters of each node in the power grid cross-section, an electrical equivalent model of the power grid cross-section is constructed, thereby achieving accurate simulation of the power flow within the cross-section. The line parameters of the power grid cross-section refer to the key physical quantities describing the electrical characteristics of each transmission line within the cross-section, mainly including line impedance parameters, such as resistance, reactance, and susceptance.

[0037] The total installed capacity of a target renewable energy node can be directly calculated by summarizing the rated capacity of each renewable energy unit corresponding to that node. To determine the thermal stability limit of a target renewable energy node, it is necessary to identify all transmission lines connected to that node and select the smallest value among their respective transmission power limits as the thermal stability limit of the target renewable energy node. This minimum value represents the upper limit of the node's maximum allowable external power transmission capacity.

[0038] When calculating the full-capacity power generation of renewable energy sources, the output of all renewable energy units under the target renewable energy node is uniformly set to their rated capacity in the existing electrical equivalent model to simulate the full-load operation under ideal conditions. Subsequently, power flow calculations are performed based on this model to obtain the actual transmission power on each transmission line, and the sum of these power outputs is the full-capacity power generation of the renewable energy source at the target renewable energy node.

[0039] To further obtain the short-circuit ratio, a crucial indicator reflecting grid strength, a dedicated short-circuit simulation will be performed on the target renewable energy node based on the electrical equivalent model of the grid cross-section. Specifically, a typical three-phase short-circuit fault will be applied to the target renewable energy node as the fault point to simulate its operation under severe electrical disturbances. Combining the line impedance and internal impedance of the power source in the grid cross-section parameters, the short-circuit current calculation method will be used to calculate the short-circuit current flowing into the node from surrounding power sources at the moment of the fault. The short-circuit capacity of the node will be calculated by multiplying the short-circuit current by the node's rated voltage. The short-circuit ratio is then calculated by comparing this short-circuit capacity with the total installed capacity of the target renewable energy node. A higher short-circuit ratio indicates stronger voltage support and power buffering capacity of the node; conversely, a lower ratio means the node is more susceptible to fault impacts, increasing the urgency and demand for energy storage configuration.

[0040] The above series of analyses lays a foundation for evaluating the rationality of subsequent energy storage configurations and ensuring the stable operation of new energy nodes, which helps to further improve the overall security and flexibility of the power grid.

[0041] Step S5: Calculate and generate the total number of generators to be cut off for each target new energy node based on the cut-off amount of each new energy unit in the target cut-off plan; In practical implementation, the power cut-off of all renewable energy units included in the cut-off plan under the same target renewable energy node is summed to obtain the total cut-off power for that node under the cut-off plan. In the event of a grid fault, this total cut-off power reflects the active regulation capacity undertaken by the renewable energy node to alleviate the fault, directly providing a basis for the configuration intensity and action boundary of subsequent energy storage power stations at the target renewable energy node.

[0042] Step S6: For each target new energy node, if the thermal stability limit of the current target new energy node is greater than the full power generation of the new energy and the short-circuit ratio is greater than the preset short-circuit ratio threshold, it is determined that the current target new energy node will not be configured with an energy storage station; otherwise, it is determined that the current target new energy node will be configured with an energy storage station. Specifically, when the thermal stability limit of the target renewable energy node is higher than its full renewable energy power generation and the short-circuit ratio exceeds a preset threshold, it indicates that even when the renewable energy units are operating at full capacity, the transmission lines connected to the node still have sufficient transmission capacity, and there is no risk of overload due to power transmission limitations. Simultaneously, a high short-circuit ratio also indicates that the node has good voltage support and disturbance rejection capabilities, and can maintain stable operation in a localized area even when a grid fault occurs, demonstrating strong operational regulation capabilities. Therefore, if all the above conditions are met simultaneously, it can be determined that the renewable energy node does not require an energy storage power station.

[0043] Conversely, in other cases, this indicates that the node has issues such as power output bottlenecks or insufficient voltage support. Without external adjustments, this could limit renewable energy output or exacerbate voltage fluctuations, thereby affecting the safe and stable operation of the power grid. In such situations, configuring energy storage power stations is a clear engineering necessity: firstly, energy storage facilities can absorb some of the renewable energy output during peak periods, alleviating line load and reducing overload risks; secondly, energy storage has excellent rapid response characteristics, quickly injecting active or reactive power when disturbances such as short circuits or voltage drops occur, effectively enhancing the node's adaptability to electrical disturbances. Therefore, such nodes should be identified as requiring energy storage.

[0044] Understandably, this step helps to ensure the accuracy of energy storage configuration, avoids redundant configuration of target new energy nodes with good power transmission and voltage support capabilities, thereby improving the utilization efficiency of energy storage resources, and at the same time prioritizing the support needs of weak links in the power system to ensure the safe operation of the power system.

[0045] Step S7: If it is determined that the current target new energy node is configured with an energy storage power station, the energy storage capacity of the energy storage power station configured for the current target new energy node is determined based on the thermal stability limit, full power generation of new energy, total installed capacity and total offload capacity of the current target new energy node; and the energy storage power station is configured according to the energy storage capacity.

[0046] In a preferred embodiment, the energy storage capacity of the energy storage power station configured for the current target renewable energy node is determined based on the thermal stability limit, full power generation of renewable energy, total installed capacity, and total offload capacity of the current target renewable energy node, including: If the thermal stability limit of the current target renewable energy node is not greater than the full power generation of the renewable energy and the short-circuit ratio is less than the preset short-circuit ratio threshold, the redundancy power margin of the current target renewable energy node is calculated based on the thermal stability limit and the full power generation of the renewable energy; the total installed capacity of the current target renewable energy node is calculated based on the preset installed capacity ratio coefficient and the total installed capacity; the maximum value among the redundancy power margin, the total installed capacity fixed value, and the total number of units cut off is selected as the energy storage capacity of the energy storage power station configured for the current target renewable energy node. Under the condition that the thermal stability limit of the current target renewable energy node is not greater than the full power of renewable energy and the short-circuit ratio is not less than the preset short-circuit ratio threshold, the redundancy power margin of the current target renewable energy node is calculated and generated based on the thermal stability limit and the full power of renewable energy; the maximum value between the redundancy power margin and the total number of generators cut off is selected as the energy storage capacity of the energy storage power station configured for the current target renewable energy node. When the thermal stability limit of the current target renewable energy node is greater than the full power generation of renewable energy and the short-circuit ratio is less than the preset short-circuit ratio threshold, a fixed value of the total installed capacity of the current target renewable energy node is calculated and generated based on the preset installed capacity ratio coefficient and the total installed capacity; the maximum value between the fixed value of the total installed capacity and the total number of units cut off is selected as the energy storage capacity of the energy storage power station configured for the current target renewable energy node.

[0047] Specifically, when the thermal stability limit of the current target renewable energy node is no greater than the full power output of renewable energy, and the short-circuit ratio is lower than the preset short-circuit ratio threshold, it indicates that the node is easily constrained by thermal stability under high output conditions and lacks sufficient voltage support capacity, making it a typical vulnerable node. In this case, it is necessary to focus on support from both capacity redundancy and power system stability perspectives: on the one hand, calculate the redundancy power margin of the node based on the difference between the thermal stability limit and the full power output of renewable energy, reflecting the scale of output reduction that may be necessary under full power output; on the other hand, calculate a fixed value for the total installed capacity based on the preset installed capacity ratio coefficient and the total installed capacity, to measure the impact of the overall renewable energy penetration rate of the node on the energy storage support demand; finally, select the largest value among the redundancy power margin, the fixed value for the total installed capacity, and the total number of units to be tripped as the energy storage capacity of the node, to achieve the optimal balance between capacity margin and fault response capability.

[0048] If the thermal stability limit of the current target renewable energy node is still no greater than the full power output of the renewable energy source, but the short-circuit ratio is not less than the preset short-circuit ratio threshold, it indicates that although the node has certain thermal stability constraints, its voltage support capability is still acceptable. In this case, the weight of the total installed capacity can be appropriately reduced, and the larger value between the redundancy power margin and the total number of units cut off can be selected as the energy storage configuration capacity. This ensures that the regulation needs under extreme output conditions can be effectively covered, while avoiding resource waste caused by excessive redundancy.

[0049] When the thermal stability limit of the current target renewable energy node is higher than the full power output of renewable energy, but the short-circuit ratio is still lower than the preset threshold, it indicates that although the node does not have a significant thermal stability bottleneck, its voltage support capability is still weak. For such nodes, the focus should be on enhancing voltage support capability. Therefore, a fixed value for the total installed capacity is calculated based on the preset installed capacity ratio coefficient and the total installed capacity. The larger of this value and the total number of units tripped should be selected as the energy storage configuration capacity, thus enabling the energy storage system to have sufficient dynamic support capability while adjusting its output.

[0050] The above-mentioned scenario-based energy storage capacity determination mechanism enables flexible and precise capacity configuration, avoiding resource redundancy or insufficient support caused by a one-size-fits-all capacity setting. This significantly improves the accuracy of energy storage configuration, enhances the regulation capability of energy storage, and thus ensures the safe and reliable operation of the power system.

[0051] In an optional embodiment, the redundancy power margin of the target renewable energy node is calculated using the following formula: in, For the first Redundancy power margin of each target new energy node; For the first The thermal stability limit of each target new energy node; For the first The target new energy node achieves full-capacity new energy power generation.

[0052] In an optional embodiment, the total installed capacity of the target new energy node is calculated using the following formula: in, For the first The total installed capacity of each target new energy node is a fixed value; For the first The total installed capacity of each target new energy node; This is the preset installation ratio coefficient.

[0053] The above calculation method can quantify the redundancy power margin and total fixed value of the target new energy nodes, providing a scientific basis for the rational allocation of energy storage capacity, and ensuring that energy storage power stations are neither over-configured and wasteful of resources, nor affected by insufficient capacity and thus the safe and stable operation of the power grid.

[0054] Preferably, configuring the energy storage power station according to the energy storage capacity includes: when configuring the energy storage power station based on the determined new energy nodes and their corresponding energy storage capacities, firstly, selecting the model and quantity of energy storage equipment that meet the capacity requirements to ensure that the overall energy storage capacity meets the design specifications; secondly, rationally planning the access point and topology of the energy storage power station in conjunction with the electrical access conditions of the new energy nodes to ensure a stable and reliable grid connection between the energy storage power station and the new energy nodes; finally, designing the charging and discharging strategy and operating parameters of the energy storage power station based on the energy storage capacity and node load characteristics to achieve effective regulation of the output of new energy units and improve grid stability.

[0055] Based on the above method embodiments, the present invention provides corresponding apparatus embodiments.

[0056] like Figure 2 As shown, an embodiment of the present invention provides a configuration device for an energy storage power station, including: a data acquisition module, a sensitivity analysis module, a target new energy node determination module, and an energy storage power station configuration module; The data acquisition module is used to acquire the electrical parameters of each node of the power grid section, several generator tripping plans when there is a fault in the power grid section, and the total power of the section before the generator tripping; wherein, the node includes a new energy node; the new energy node corresponds to one or more new energy generating units; the generator tripping plan includes a generator tripping combination and the amount of generators to be cut in each generator tripping combination; at least one new energy generating unit is cut in the generator tripping combination; The sensitivity analysis module is used to perform power flow calculations on the power grid section for each tripping plan, based on the current tripping plan and the electrical parameters of each node in the power grid section, to generate the total power of the section after the tripping under the current tripping plan; and to calculate and generate the sensitivity of the current tripping plan based on the total power of the section before the tripping, the total power of the section after the tripping, and the current tripping plan. The target renewable energy node determination module is used to select the most sensitive power-switching plan from each power-switching plan as the target power-switching plan; and to select the renewable energy node corresponding to the renewable energy unit in the target power-switching plan as the target renewable energy node. The energy storage power station configuration module is used to extract the thermal stability limit, full power generation, total installed capacity, and short-circuit ratio of the target renewable energy node from the electrical parameters of each node in the power grid section; calculate the total number of generators to be cut off for each target renewable energy node based on the number of generators to be cut off in the target generator cut-off plan; for each target renewable energy node, if the thermal stability limit of the current target renewable energy node is greater than the full power generation of the renewable energy and the short-circuit ratio is greater than a preset short-circuit ratio threshold, it is determined that the current target renewable energy node will not be configured with an energy storage power station; otherwise, it is determined that the current target renewable energy node will be configured with an energy storage power station; if the current target renewable energy node is determined to be configured with an energy storage power station, the energy storage capacity of the energy storage power station configured for the current target renewable energy node is determined based on the thermal stability limit, full power generation of the renewable energy, total installed capacity, and total number of generators to be cut off; and the energy storage power station is configured according to the energy storage capacity.

[0057] In a preferred embodiment, the energy storage power station configuration module extracts the thermal stability limit, full-capacity power generation, total installed capacity, and short-circuit ratio of the target renewable energy node from the electrical parameters of each node in the power grid section, including: Obtain the topology of the power grid section and the line parameters of the power grid section; Based on the topology of the power grid section, the line parameters of the power grid section, and the electrical parameters of each node of the power grid section, an electrical equivalent model of the power grid section is constructed. From the electrical parameters of each node in the power grid section, extract the rated capacity of each new energy unit corresponding to the target new energy node, and the transmission power limit of each transmission line corresponding to the target new energy node. The minimum transmission power limit is selected from the transmission power limits of each transmission line corresponding to the target new energy node, and is taken as the thermal stability limit of the target new energy node. The output of each renewable energy unit corresponding to the target renewable energy node is set to the rated capacity. Power flow calculation is performed based on the electrical equivalent model of the power grid section to generate the transmission power of each transmission line corresponding to the target renewable energy node. Based on the transmission power of each transmission line corresponding to the target renewable energy node, the full renewable energy generation power of the target renewable energy node is calculated. The total installed capacity of the target new energy node is calculated based on the rated capacity of each new energy unit corresponding to the target new energy node. Based on the total installed capacity of the target renewable energy nodes, short-circuit simulations are performed on the target renewable energy nodes using the electrical equivalent model of the power grid section, and the short-circuit ratio of the target renewable energy nodes is generated.

[0058] It should be noted that the embodiments of the devices described above correspond to the embodiments of the present invention described above, and can realize the configuration method of the energy storage power station described in any one of the present invention. Furthermore, the embodiments of the devices described above are merely illustrative. The modules described as separate components may or may not be physically separate, and the components shown as modules 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 the modules can be selected to achieve the purpose of this embodiment according to actual needs. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between modules indicates that they have a communication connection, which can be specifically implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without creative effort.

[0059] Based on the above-described method embodiments of the present invention, a corresponding embodiment of an electronic device is provided.

[0060] An embodiment of the present invention provides an electronic device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the configuration method of the energy storage power station according to any one of the present invention, or, when the processor executes the computer program, it implements the functions of each module in the above-described device embodiments.

[0061] For example, the computer program may be divided into one or more modules, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules may be a series of computer program instruction segments capable of performing specific functions, which describe the execution process of the computer program in the terminal device.

[0062] The terminal device may be a desktop computer, laptop, handheld computer, or cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0063] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the terminal device, connecting all parts of the terminal device via various interfaces and lines.

[0064] The memory can be used to store the computer programs and / or modules. The processor implements various functions of the terminal device by running or executing the computer programs and / or modules stored in the memory and by calling data stored in the memory. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, applications required for at least one function, etc.; the data storage area may store data created based on the use of the mobile phone, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital card (SD card), flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0065] Based on the above method embodiments, the present invention provides corresponding storage medium embodiments; Another embodiment of the present invention provides a storage medium including a stored computer program, wherein, when the computer program is executed, the device where the storage medium is located controls the execution of the configuration method of any of the above-described energy storage power stations of the present invention.

[0066] The aforementioned storage medium is a computer-readable storage medium, and the computer program includes computer program code, which may be in the form of source code, object code, executable file, or certain intermediate forms. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording media, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0067] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of those different embodiments or examples.

[0068] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for configuring an energy storage power station, characterized in that, include: The system acquires the electrical parameters of each node in a power grid section, several generator tripping plans when a fault occurs in the power grid section, and the total power of the section before the tripping. The nodes include renewable energy nodes; each renewable energy node corresponds to one or more renewable energy generating units; the tripping plan includes tripping combinations and the amount of generating units to be tripped in each tripping combination; at least one renewable energy generating unit is included in the tripping combination as the unit to be tripped. For each tripping plan, based on the current tripping plan and the electrical parameters of each node in the power grid section, power flow calculation is performed on the power grid section to generate the total power of the section after the tripping under the current tripping plan; based on the total power of the section before the tripping, the total power of the section after the tripping, and the current tripping plan, the sensitivity of generating the current tripping plan is calculated. The generator switching plan with the highest sensitivity is selected from all the switching plans as the target switching plan; the new energy nodes corresponding to the new energy units in the target switching plan are selected as the target new energy nodes. From the electrical parameters of each node in the power grid section, the thermal stability limit, full power generation of new energy, total installed capacity and short-circuit ratio of the target new energy node are extracted. Based on the amount of new energy units to be cut in the target cut-off plan, calculate the total amount of new energy units to be cut off for each target new energy node. For each target new energy node, if the thermal stability limit of the current target new energy node is greater than the full power generation of the new energy and the short-circuit ratio is greater than the preset short-circuit ratio threshold, it is determined that the current target new energy node will not be equipped with an energy storage station; otherwise, it is determined that the current target new energy node will be equipped with an energy storage station. When determining the configuration of an energy storage power station for the current target renewable energy node, the energy storage capacity of the energy storage power station configured for the current target renewable energy node is determined based on the thermal stability limit, full power generation of renewable energy, total installed capacity, and total offload capacity of the current target renewable energy node; and the energy storage power station is configured according to the energy storage capacity.

2. The configuration method of the energy storage power station as described in claim 1, characterized in that, The sensitivity of generating all-machine plans is calculated using the following formula: in, For the first The sensitivity of the cutting machine plan; The total power of the section before the cutting machine; For the first The total power of the section after the cutting machine in the cutting machine plan; For the first The total number of machines to be cut in the cut-off plan.

3. The configuration method of the energy storage power station as described in claim 2, characterized in that, From the electrical parameters of each node in the power grid section, the thermal stability limit, full power generation of new energy, total installed capacity, and short-circuit ratio of the target new energy node are extracted, including: Obtain the topology of the power grid section and the line parameters of the power grid section; Based on the topology of the power grid section, the line parameters of the power grid section, and the electrical parameters of each node of the power grid section, an electrical equivalent model of the power grid section is constructed. From the electrical parameters of each node in the power grid section, extract the rated capacity of each new energy unit corresponding to the target new energy node, and the transmission power limit of each transmission line corresponding to the target new energy node. The minimum transmission power limit is selected from the transmission power limits of each transmission line corresponding to the target new energy node, and is taken as the thermal stability limit of the target new energy node. The output of each renewable energy unit corresponding to the target renewable energy node is set to the rated capacity. Power flow calculation is performed based on the electrical equivalent model of the power grid section to generate the transmission power of each transmission line corresponding to the target renewable energy node. Based on the transmission power of each transmission line corresponding to the target renewable energy node, the full renewable energy generation power of the target renewable energy node is calculated. The total installed capacity of the target new energy node is calculated based on the rated capacity of each new energy unit corresponding to the target new energy node. Based on the total installed capacity of the target renewable energy nodes, short-circuit simulations are performed on the target renewable energy nodes using the electrical equivalent model of the power grid section, and the short-circuit ratio of the target renewable energy nodes is generated.

4. The configuration method of the energy storage power station as described in claim 3, characterized in that, Based on the thermal stability limit, full-capacity power generation of new energy sources, total installed capacity, and total offloading capacity of the current target new energy node, determine the energy storage capacity of the energy storage power station configured for the current target new energy node, including: If the thermal stability limit of the current target renewable energy node is not greater than the full power generation of the renewable energy and the short-circuit ratio is less than the preset short-circuit ratio threshold, the redundancy power margin of the current target renewable energy node is calculated based on the thermal stability limit and the full power generation of the renewable energy; the total installed capacity of the current target renewable energy node is calculated based on the preset installed capacity ratio coefficient and the total installed capacity; the maximum value among the redundancy power margin, the total installed capacity fixed value, and the total number of units cut off is selected as the energy storage capacity of the energy storage power station configured for the current target renewable energy node. Under the condition that the thermal stability limit of the current target renewable energy node is not greater than the full power of renewable energy and the short-circuit ratio is not less than the preset short-circuit ratio threshold, the redundancy power margin of the current target renewable energy node is calculated and generated based on the thermal stability limit and the full power of renewable energy; the maximum value between the redundancy power margin and the total number of generators cut off is selected as the energy storage capacity of the energy storage power station configured for the current target renewable energy node. When the thermal stability limit of the current target renewable energy node is greater than the full power generation of renewable energy and the short-circuit ratio is less than the preset short-circuit ratio threshold, a fixed value of the total installed capacity of the current target renewable energy node is calculated and generated based on the preset installed capacity ratio coefficient and the total installed capacity; the maximum value between the fixed value of the total installed capacity and the total number of units cut off is selected as the energy storage capacity of the energy storage power station configured for the current target renewable energy node.

5. The configuration method of the energy storage power station as described in claim 4, characterized in that, The redundancy power margin of the target renewable energy node is calculated using the following formula: in, For the first Redundancy power margin of each target new energy node; For the first The thermal stability limit of each target new energy node; For the first The target new energy node achieves full-capacity new energy power generation.

6. The configuration method of the energy storage power station as described in claim 5, characterized in that, The total installed capacity of the target new energy node is calculated using the following formula: in, For the first The total installed capacity of each target new energy node is a fixed value; For the first The total installed capacity of each target new energy node; This is the preset installation ratio coefficient.

7. A configuration device for an energy storage power station, characterized in that, include: The module includes a data acquisition module, a sensitivity analysis module, a target new energy node determination module, and an energy storage power station configuration module. The data acquisition module is used to acquire the electrical parameters of each node of the power grid section, several generator tripping plans when there is a fault in the power grid section, and the total power of the section before the generator tripping; wherein, the node includes a new energy node; the new energy node corresponds to one or more new energy generating units; the generator tripping plan includes a generator tripping combination and the amount of generators to be cut in each generator tripping combination; at least one new energy generating unit is cut in the generator tripping combination; The sensitivity analysis module is used to perform power flow calculations on the power grid section for each tripping plan, based on the current tripping plan and the electrical parameters of each node in the power grid section, to generate the total power of the section after the tripping under the current tripping plan; and to calculate and generate the sensitivity of the current tripping plan based on the total power of the section before the tripping, the total power of the section after the tripping, and the current tripping plan. The target renewable energy node determination module is used to select the most sensitive power-switching plan from each power-switching plan as the target power-switching plan; and to select the renewable energy node corresponding to the renewable energy unit in the target power-switching plan as the target renewable energy node. The energy storage power station configuration module is used to extract the thermal stability limit, full power generation, total installed capacity, and short-circuit ratio of the target renewable energy node from the electrical parameters of each node in the power grid section; calculate the total number of generators to be cut off for each target renewable energy node based on the number of generators to be cut off in the target generator cut-off plan; for each target renewable energy node, if the thermal stability limit of the current target renewable energy node is greater than the full power generation of the renewable energy and the short-circuit ratio is greater than a preset short-circuit ratio threshold, it is determined that the current target renewable energy node will not be configured with an energy storage power station; otherwise, it is determined that the current target renewable energy node will be configured with an energy storage power station; if the current target renewable energy node is determined to be configured with an energy storage power station, the energy storage capacity of the energy storage power station configured for the current target renewable energy node is determined based on the thermal stability limit, full power generation of the renewable energy, total installed capacity, and total number of generators to be cut off; and the energy storage power station is configured according to the energy storage capacity.

8. The configuration device for an energy storage power station as described in claim 7, characterized in that, The energy storage power station configuration module extracts the thermal stability limit, full power generation of new energy, total installed capacity, and short-circuit ratio of the target new energy node from the electrical parameters of each node in the power grid section, including: Obtain the topology of the power grid section and the line parameters of the power grid section; Based on the topology of the power grid section, the line parameters of the power grid section, and the electrical parameters of each node of the power grid section, an electrical equivalent model of the power grid section is constructed. From the electrical parameters of each node in the power grid section, extract the rated capacity of each new energy unit corresponding to the target new energy node, and the transmission power limit of each transmission line corresponding to the target new energy node. The minimum transmission power limit is selected from the transmission power limits of each transmission line corresponding to the target new energy node, and is taken as the thermal stability limit of the target new energy node. The output of each renewable energy unit corresponding to the target renewable energy node is set to the rated capacity. Power flow calculation is performed based on the electrical equivalent model of the power grid section to generate the transmission power of each transmission line corresponding to the target renewable energy node. Based on the transmission power of each transmission line corresponding to the target renewable energy node, the full renewable energy generation power of the target renewable energy node is calculated. The total installed capacity of the target new energy node is calculated based on the rated capacity of each new energy unit corresponding to the target new energy node. Based on the total installed capacity of the target renewable energy nodes, short-circuit simulations are performed on the target renewable energy nodes using the electrical equivalent model of the power grid section, and the short-circuit ratio of the target renewable energy nodes is generated.

9. An electronic device, characterized in that, It includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor executes the computer program to implement the configuration method of the energy storage power station as described in any one of claims 1 to 6.

10. A storage medium, characterized in that, The storage medium includes a stored computer program, wherein, when the computer program is executed, it controls the device containing the storage medium to perform the configuration method of the energy storage power station as described in any one of claims 1 to 6.

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