Comprehensive control method and system based on distributed energy storage

Abstract

The invention discloses a comprehensive control method and system based on distributed energy storage, and the method comprises the steps: obtaining all accessed distributed energy storage facility information and target application scene data, carrying out the detection of a fault of a target distributed energy storage facility, and processing the obtained fault information; performing characteristic analysis on the information of the distributed energy storage facility; historical data of the distributed energy storage facilities are collected, and an output flow direction model for deploying energy storage power is constructed; the distributed energy storage facility is managed and controlled by performing characteristic analysis on the information of the distributed energy storage facility, constructing the output flow direction model for deploying the energy storage power, and the distributed energy storage facility is managed and controlled, so that the probability of failure of the distributed energy storage facility under the condition that the target distributed energy storage facility has a fault is greatly reduced, and the reliability of the distributed energy storage facility is improved. According to the invention, the possibility of non-uniform energy storage output of surrounding distributed energy storage facilities is avoided, the stability and reliability of the comprehensive control system are improved, and the system has the characteristics of high energy storage monitoring precision and high energy storage distribution reliability.

Description

Technical Field

[0001] The present invention relates to the technical field of distributed energy storage systems, and in particular to a comprehensive control method and system based on distributed energy storage. Background Art

[0002] At present, the rapid development of new energy, the randomness, volatility and anti-peak characteristics of new energy have caused the net load of the system to change greatly, bringing huge pressure to the balance of power and electricity. Distributed energy storage has the ability of fast two-way flexible adjustment, which can be widely penetrated into all links of power generation, transmission and distribution, improve the flexibility of the power system, and become an optimal solution to solve the problems of new power systems with new energy as the main body.

[0003] Distributed energy storage comprehensive control system is an energy storage system with the advantages of flexible control of output power, elimination of grid-connected harmonics, reduced investment costs, and lower network loss of energy storage system. It is widely used to monitor power systems, but energy storage allocation problems may occur during the implementation of monitoring. In the prior art, distributed energy storage systems use energy storage facilities to store energy for power systems in a timely manner during operation. After detecting a failure in a single distributed energy storage facility, other distributed energy storage facilities are used to allocate energy storage to supplement the energy storage shortage that may occur in the target area. However, due to the different failure problems of energy storage facilities, the degree of their impact on the power system in the region and the different adjustment capabilities of other energy storage facilities, uneven distribution and excess energy storage may occur during the energy storage allocation process, which greatly reduces the efficiency of distributed energy storage comprehensive control. Therefore, it is very necessary to design a comprehensive control method and system based on distributed energy storage with high energy storage monitoring accuracy and strong energy storage allocation reliability. Summary of the invention

[0004] The purpose of the present invention is to provide a comprehensive control method and system based on distributed energy storage to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a comprehensive control method and system based on distributed energy storage, comprising: Obtain information on all connected distributed energy storage facilities and target application scenario data. When a fault warning is detected, detect the target distributed energy storage facility with the fault warning, obtain fault information of the target distributed energy storage facility, and classify the fault information; Performing characteristic analysis on the distributed energy storage facility to obtain regulation capacity data of the distributed energy storage facility in a target application scenario; Collecting and processing historical data of the distributed energy storage facility to obtain a power flow diagram with the lowest power consumption, and constructing an output flow direction model for allocating energy storage power based on the power flow diagram; Based on the regulation capability data of the target distributed energy storage facility acquired in the target application scenario and the fault information, regulation instructions for controlling the distributed energy storage facility are generated in the output flow model.

[0006] According to the above technical solution, the acquisition of all connected distributed energy storage facility information and target application scenario data includes: Based on the acquired target application scenario data, determining a research object for characteristic analysis of the distributed energy storage facility, including energy storage constraint conditions, load curves, and time span data of the distributed energy storage facility; The energy storage charging and discharging management data set within the energy storage constraint conditions of the distributed energy storage facility is extracted, the total capacity of the distributed energy storage facility is determined to be Q, and the location information within the distributed energy storage facility that can be used to install energy storage equipment is marked.

[0007] According to the above technical solution, the detection of the target distributed energy storage facility with fault warning, obtaining the fault information of the target distributed energy storage facility, and classifying the fault information include: After detecting that a target distributed energy storage facility has a fault, the energy storage control range data of the target distributed energy storage facility is retrieved from the database, and the control range data is transmitted to the map terminal, and the map terminal calibrates the map range corresponding to the control range data in the map according to the control range data, wherein the map range includes residential areas and industrial parks covered by the target distributed energy storage facility that can exert power control; Extract fault problem data that affects the operation of the target distributed energy storage facility from the fault information, including: internal battery cell failure causing thermal runaway of the battery module and arcing and short circuit phenomena in the components of the internal auxiliary system; mark the thermal runaway of the battery module caused by the internal battery cell failure as a first fault, mark the arcing and short circuit phenomena in the components of the internal auxiliary system as a second fault, and mark other fault problems detected except the first fault and the second fault as a third fault.

[0008] According to the above technical solution, the characteristic analysis of the distributed energy storage facility is performed to obtain the regulation capacity data of the distributed energy storage facility in the target application scenario, including: A plurality of control sub-terminals are provided, and the setting positions of the plurality of control sub-terminals are respectively located in a plurality of distributed energy storage facilities, and the control sub-terminals are controlled to perform a plurality of energy storage output control functions, and the energy storage output control functions include: Acquire a trigger operation on an energy storage allocation function button in the control sub-end; In response to the trigger operation, the control sub-terminal performs an electric energy output operation corresponding to the energy storage allocation function key, including: In response to the trigger operation, determining the type of the energy storage allocation function key; According to the type of the energy storage allocation function key, executing the power output and power input operations corresponding to the energy storage allocation function key; The energy storage allocation function button also includes a recovery button, including: when the recovery button is triggered, the power safety control circuit corresponding to the distributed energy storage facility corresponding to the recovery button is turned on, and the distributed energy storage facility corresponding to the recovery button is powered on; When it is detected that no less than θ% of the control sub-terminals simultaneously perform the power output operation, based on the statistically acquired control sub-terminal group that has performed the power output operation, the adjustment capability coefficient of the control sub-terminal group that has performed the power output operation is obtained as A, where θ is the limit ratio value of the control sub-terminal performing the power output operation; Detect the adjustment capacity values ​​of other distributed energy storages affected by the failure of the target distributed energy storage facility, excluding the target distributed energy storage facility, and distributed within the map range corresponding to the calibrated control range data in the map, to obtain the adjustment capacity values ​​of other distributed energy storages affected by the failure of the target distributed energy storage facility , where s is the energy storage output base, d is the target distributed energy storage facility pressure index obtained based on the energy storage charge and discharge management data set based on the energy storage constraint condition, t is the end time node obtained through the time span data, and t0 is the start time node obtained through the time span data.

[0009] According to the above technical solution, the historical data of the distributed energy storage facility is collected and processed to obtain a power flow diagram with the lowest power consumption, and an output flow direction model for allocating energy storage power is constructed based on the power flow diagram, including: Extract the load curve data of the distributed energy storage facility, and build a historical average power consumption power grid diagram of each distribution network in the whole network according to the historical data of active power consumption and power consumption of the distribution network collected through the database. The historical average power consumption power grid diagram uses the access end of each power device as a node, controls the active power change rate data of each power device as the input weight of the node, and connects each node with a directed graph; The data platform in the control sub-end is used to select nodes for the power transmission to be analyzed, and the power flow diagram with the lowest power consumption is calculated according to the shortest path method; Based on the power flow diagram with the lowest power consumption, the positions of the nodes for transmitting power are selected to construct an output flow model for allocating energy storage power.

[0010] According to the above technical solution, based on the regulation capability data of the target distributed energy storage facility obtained in the target application scenario and the fault information, generating a regulation instruction for controlling the distributed energy storage facility in the output flow model includes: According to the output flow model of the deployed energy storage power and the node selection position, the optimal distributed energy storage facility that needs to output power is calibrated, and the capacity division method of the optimal distributed energy storage facility is determined, including the capacity division coefficient corresponding to the first fault, the capacity division coefficient corresponding to the second fault, and the capacity division coefficient corresponding to the third fault. Based on the capacity division method, the capacity division coefficient of the first fault is set to , the capacity division factor of the second fault is set to , the capacity division coefficient of the third fault is set to , where X, Y, and Z are the capacity division coefficients corresponding to the first fault, the second fault, and the third fault, respectively, and λ is the preset third fault error rate; After a preset time period t0, electricity is injected to output electric energy to the optimal distributed energy storage facility. , where i is the capacity division coefficient corresponding to the detection of a fault problem in the target distributed energy storage facility, i=1, 2 or 3, f is the capacity adjustment level, and K0 is the preset basic distributed output power in the optimal distributed energy storage facility; Utilize the energy storage device in the distributed energy storage facility to discharge during peak load periods and charge from the power grid during low load periods; Configure preset capacity in distributed energy storage facilities as emergency power supply.

[0011] According to the above technical solution, the integrated control system based on distributed energy storage includes: A data acquisition module, which is used to obtain information about all connected distributed energy storage facilities and target application scenario data. When a fault warning is detected, the target distributed energy storage facility with the fault warning is detected, the fault information of the target distributed energy storage facility is obtained, and the fault information is classified; A regulating capacity analysis module, which is used to perform characteristic analysis on the distributed energy storage facility to obtain regulating capacity data of the distributed energy storage facility in a target application scenario; A model building module, the model building module is used to collect and process the historical data of the distributed energy storage facility, obtain the power flow diagram with the lowest power consumption, and construct an output flow model for allocating energy storage power based on the power flow diagram, including: extracting the load curve data of the distributed energy storage facility, and constructing a historical average power consumption power grid diagram of each distribution network in the entire network based on the historical data of active power consumption and power consumption of the distribution network collected through the database, the historical average power consumption power grid diagram uses the access end of each power device as a node, controls the active power change rate data of each power device as the input weight of the node, and connects each node with a directed graph; uses the data platform in the control sub-end to select nodes for the transmission power to be analyzed, and calculates the power flow diagram with the lowest power consumption based on the shortest path method; based on the positions of the nodes for each transmission power in the power flow diagram with the lowest power consumption, an output flow model for allocating energy storage power is constructed; An output module, the output module is used to generate, within the output flow model, regulation instructions for controlling the distributed energy storage facility based on the regulation capability data of the target distributed energy storage facility obtained in the target application scenario and the fault information.

[0012] According to the above technical solution, the data acquisition module includes an energy storage facility information collection module and a fault processing module; The energy storage facility information collection module is used to determine the research object for characteristic analysis of the distributed energy storage facility based on the acquired target application scenario data, including energy storage constraint conditions, load curves and time span data of the distributed energy storage facility; Extracting energy storage charging and discharging management data set within the energy storage constraint conditions of the distributed energy storage facility, determining the total capacity of the distributed energy storage facility to be Q, and marking location information within the distributed energy storage facility that can be used to install energy storage equipment; The fault processing module is used to retrieve the energy storage control range data of the target distributed energy storage facility from the database after detecting that a fault has occurred in the target distributed energy storage facility, and transmit the control range data to the map terminal. The map terminal calibrates the map range corresponding to the control range data in the map according to the control range data, and extracts the fault problem data affecting the operation of the target distributed energy storage facility from the fault information, including: thermal runaway of the battery module caused by internal battery cell failure and arcing and short circuit phenomena generated by components of the internal auxiliary system, marking the thermal runaway of the battery module caused by internal battery cell failure as the first fault, marking the arcing and short circuit phenomena generated by components of the internal auxiliary system as the second fault, and marking other fault problems detected except the first fault and the second fault as the third fault.

[0013] According to the above technical solution, the adjustment capability analysis module includes a trigger function setting module and an adjustment capability value detection module; The trigger function setting module is used to set a plurality of control sub-terminals, the setting positions of the plurality of control sub-terminals are respectively located in a plurality of distributed energy storage facilities, and the control sub-terminals are controlled to perform a plurality of energy storage output control functions, wherein the energy storage output control function includes: obtaining a trigger operation on an energy storage allocation function button in the control sub-terminal; in response to the trigger operation, performing an electric energy output operation corresponding to the energy storage allocation function button on the control sub-terminal, including: determining a type of the energy storage allocation function button in response to the trigger operation; and performing electric power output and electric power input operations corresponding to the energy storage allocation function button according to the type of the energy storage allocation function button; the energy storage allocation function button also includes a restore button, including: when the restore button is triggered, turning on the electric power safety control circuit corresponding to the distributed energy storage facility corresponding to the restore button, and performing a power-on operation on the distributed energy storage facility corresponding to the restore button; The regulating capacity value detection module is used to detect that no less than θ% of the control sub-terminals are performing power output operations at the same time, and based on the statistically obtained control sub-terminal group that has performed power output operations, obtain the regulating capacity coefficient A of the control sub-terminal group that has performed power output operations, wherein θ is the limit ratio value of the control sub-terminal performing power output operations; detect the regulating capacity values ​​of other distributed energy storages affected by the failure of the target distributed energy storage facility, excluding the target distributed energy storage facility, and distributed within the map range corresponding to the calibrated control range data in the map, to obtain the regulating capacity values ​​of the other distributed energy storages affected by the failure of the target distributed energy storage facility. , where s is the energy storage output base, d is the target distributed energy storage facility pressure index obtained based on the energy storage charge and discharge management data set based on the energy storage constraint condition, t is the end time node obtained through the time span data, and t0 is the start time node obtained through the time span data.

[0014] According to the above technical solution, the output module includes an energy storage facility calibration module and a regulation module; The energy storage facility calibration module is used to calibrate the optimal distributed energy storage facility that needs to output power according to the output flow model of the deployed energy storage power and the node selection position, determine the capacity division method of the optimal distributed energy storage facility, and set the capacity division coefficient of the first fault based on the capacity division method , the capacity division factor of the second fault is set to , the capacity division coefficient of the third fault is set to , where λ is the preset third fault error rate; The regulating module is used to inject power after a preset time period t0 to output electric energy to the optimal distributed energy storage facility. , where i is the capacity division coefficient corresponding to the detection of a fault problem in the target distributed energy storage facility, i=1, 2 or 3, f is the capacity adjustment level, K0 is the preset basic allocated output power in the optimal distributed energy storage facility; the energy storage device in the distributed energy storage facility is used to discharge during peak load periods and to charge from the power grid during low load periods; and a preset capacity is configured in the distributed energy storage facility as an emergency power supply.

[0015] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention, by analyzing the characteristics of the information of the distributed energy storage facilities, constructing an output flow model for allocating energy storage power, and managing the distributed energy storage facilities, improves the utilization rate of power system equipment, realizes efficient and rapid active and reactive power control, quickly responds to system disturbances, adjusts frequency and voltage, compensates for load fluctuations, effectively improves power supply reliability, improves system operation stability, improves power quality, greatly reduces the possibility of uneven energy storage output of surrounding distributed energy storage facilities in the event of a failure of the target distributed energy storage facility, and improves the stability and reliability of the integrated control system. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 It is a flow chart of a comprehensive control method based on distributed energy storage provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] See also Figure 1 , which is a flow chart of a comprehensive control method based on distributed energy storage provided by an embodiment of the present invention, such as Figure 1 It can be seen that the comprehensive control method based on distributed energy storage includes: Step S1: Acquire information of all connected distributed energy storage facilities and target application scenario data. The distributed energy storage facility information includes terminal facility information such as distributed new energy, microgrid, big data center, 5G base station and charging facilities. The target application scenario data includes energy storage on the power generation side, energy storage on the power transmission and distribution side and energy storage scenario data on the user side. When a fault warning is detected, detect the target distributed energy storage facility with the fault warning, obtain the fault information of the target distributed energy storage facility, and classify the fault information. Step S2: Analyze the characteristics of the distributed energy storage facilities to obtain the regulation capacity data of the distributed energy storage facilities in the target application scenario; Step S3: Collect and process historical data of distributed energy storage facilities to obtain a power flow diagram with the lowest power consumption, and build an output flow model for allocating energy storage power based on the power flow diagram; Step S4: Based on the regulation capability data and fault information of the target distributed energy storage facility acquired in the target application scenario, a regulation instruction for controlling the distributed energy storage facility is generated in the output flow model.

[0019] The embodiments of the present invention analyze the characteristics of information of distributed energy storage facilities, construct an output flow model for allocating energy storage power, manage and control distributed energy storage facilities, improve the utilization rate of power system equipment, achieve efficient and rapid active and reactive power control, quickly respond to system disturbances, adjust frequency and voltage, compensate for load fluctuations, effectively improve power supply reliability, improve system operation stability, improve power quality, greatly reduce the possibility of uneven energy storage output of surrounding distributed energy storage facilities when a target distributed energy storage facility fails, and improve the stability and reliability of the integrated control system.

[0020] In some preferred embodiments, the obtaining of all connected distributed energy storage facility information and target application scenario data includes: Step S111: based on the acquired target application scenario data, determining a research object for characteristic analysis of the distributed energy storage facility, including energy storage constraint conditions, load curves, and time span data of the distributed energy storage facility; The load curve is used to predict the load situation within a preset time period. The load curve includes a day-ahead curve and an intraday curve. The day-ahead curve is a load prediction curve obtained based on the load curve history record and load operation mode prediction processing. The intraday curve obtains the load prediction curve within the preset time period of the day. The time span data includes the start time node and the end time node within the preset time period. Step S112: extracting the energy storage charging and discharging management data set in the energy storage constraint conditions of the distributed energy storage facility, determining the total capacity of the distributed energy storage facility as Q, and marking the location information in the distributed energy storage facility that can be used to install energy storage equipment.

[0021] In some preferred embodiments, the detecting of the fault of the target distributed energy storage facility and processing the obtained fault information includes: Step S121: after detecting that a target distributed energy storage facility has a fault, the energy storage control range data of the target distributed energy storage facility is retrieved from the database, and the control range data is transmitted to the map terminal, and the map terminal calibrates the map range corresponding to the control range data in the map according to the control range data, wherein the map range includes residential areas and industrial parks covered by the target distributed energy storage facility that can exert power control; Step S122: Extract fault problem data that affects the operation of the target distributed energy storage facility from the fault information, including: internal battery cell failure causing thermal runaway of the battery module and arcing and short circuit phenomena caused by components of the internal auxiliary system. Mark the thermal runaway of the battery module caused by internal battery cell failure as the first fault, mark the arcing and short circuit phenomena caused by components of the internal auxiliary system as the second fault, and mark other fault problems detected except the first fault and the second fault as the third fault.

[0022] The first and second faults are the two main fault problems that may occur in energy storage facilities. The failure of internal battery cells causes thermal runaway of the battery module. The strong chemical reaction causes local high temperature, high heat and flammable gas accumulation, which eventually spreads to the battery module, causing fire or even explosion; and the components of the internal auxiliary system produce arcs and short circuits, resulting in local combustion or smoke, and ultimately causing a fire accident.

[0023] In certain preferred embodiments, the characteristic analysis of the information of the distributed energy storage facility to obtain the regulation capability data of the distributed energy storage facility in the target application scenario includes: Step S21: multiple control sub-terminals are set, and the multiple control sub-terminals are respectively set in multiple distributed energy storage facilities, and the control sub-terminals are controlled to perform multiple energy storage output control functions, and the energy storage output control functions include: Obtain the triggering operation of the energy storage allocation function button in the control sub-end; In response to the trigger operation, the control sub-terminal performs an electric energy output operation corresponding to the energy storage allocation function button, including: In response to the trigger operation, determining the type of the energy storage allocation function key; According to the type of the energy storage allocation function button, the power output and power input operations corresponding to the energy storage allocation function button are executed; Step S22: the energy storage allocation function button also includes a restore button, including: when the restore button is triggered, turning on the power safety control circuit corresponding to the distributed energy storage facility corresponding to the restore button, and performing a power-on operation on the distributed energy storage facility corresponding to the restore button; Step S23: when it is detected that not less than θ% of the control sub-terminals perform the power output operation at the same time, based on the statistically obtained control sub-terminal group that has performed the power output operation, the adjustment capacity coefficient of the control sub-terminal group is A, wherein θ is the power output limit ratio value of the control field, and the adjustment capacity coefficient of the control sub-terminal group is the impact of the failure of the target distributed energy storage facility on other distributed energy storage facilities within the map range corresponding to the calibrated control range data in the map after the target distributed energy storage facility fails. The larger the adjustment capacity coefficient of the control sub-terminal group, the greater the impact of the failure of the target distributed energy storage facility on other distributed energy storage facilities; conversely, the smaller the adjustment capacity coefficient of the control sub-terminal group, the smaller the impact of the failure of the target distributed energy storage facility on other distributed energy storage facilities; Step S24: Detect the adjustment capacity values ​​of other distributed energy storages affected by the failure of the target distributed energy storage facility, excluding the target distributed energy storage facility and distributed within the map range corresponding to the calibrated control range data in the map, to obtain the adjustment capacity values ​​of other distributed energy storages affected by the failure of the target distributed energy storage facility. , where s is the energy storage output base number preset by the control sub-end, d is the target distributed energy storage facility pressure index obtained from the energy storage charge and discharge management data set based on the energy storage constraint conditions, and the facility pressure index is expressed as the amount of charge and discharge per unit time of different distributed energy storage facilities. The higher the pressure index, the less the charge and discharge amount; conversely, the higher the pressure index, the more the charge and discharge amount. The energy storage output base number s and the target distributed energy storage facility pressure index d, which can show the exponential function of energy storage pressure output, can adjust the adjustment capacity values ​​of other distributed energy storage affected by the failure of the target distributed energy storage facility at multiple rate differences, ensuring that the value of the adjustment capacity value W is highly affected by d, t is the end time node obtained through the time span data, and t0 is the start time node obtained through the time span data. The length of the preset time period is determined by adjusting the capacity value W, which is affected by the adjustment capacity coefficient A of the control sub-end group, the length of the preset time period, and the exponential function index. The detection formula effectively improves the monitoring stability and accuracy of the integrated control system.

[0024] In some preferred embodiments, the constructing of the output flow model for dispatching energy storage power includes: Step S31: extracting the load curve data of the distributed energy storage facility, and constructing a historical average power consumption power grid diagram of each distribution network in the whole network according to the historical data of active power consumption and power consumption of the distribution network collected through the database, wherein the historical average power consumption power grid diagram uses the access end of each power device as a node, controls the electric energy active power change rate data of each power device as the input weight of the node, and connects each node with a directed graph; Step S32: using the data platform in the control sub-end to select nodes for the power transmission to be analyzed, and calculating the power flow graph with the lowest power consumption according to the shortest path method; Step S33: Based on the power flow diagram with the lowest power consumption, the locations of the nodes for transmitting power are selected to construct an output flow model for allocating energy storage power.

[0025] The problem of uneven energy storage output of surrounding distributed energy storage facilities when a target distributed energy storage facility fails is solved.

[0026] In some preferred embodiments, the step of generating a regulation instruction for controlling the energy storage facility category based on the target application scenario data and the fault prediction result of the distributed energy storage facility includes: Step S41: According to the output flow model of the deployed energy storage power and the node selection position, calibrate the optimal distributed energy storage facility that needs to output power, determine the capacity division method of the optimal distributed energy storage facility, including the capacity division coefficient corresponding to the first fault, the capacity division coefficient corresponding to the second fault, and the capacity division coefficient corresponding to the third fault, and set the capacity division coefficient of the first fault to , the capacity division factor of the second fault is set to , the capacity division coefficient of the third fault is set to , where X, Y, and Z are the capacity division coefficients corresponding to the first fault, the second fault, and the third fault, respectively, and λ is the preset third fault error rate; Step S42: injecting electricity after a preset time period t0, and outputting electric energy to the optimal distributed energy storage facility , where i is the capacity division coefficient corresponding to the detection of a fault in the target distributed energy storage facility, i=1, 2 or 3, and f is the capacity adjustment level. , K0 is the preset basic distributed output power in the optimal distributed energy storage facility; Step S43: using the energy storage device in the distributed energy storage facility to discharge during peak load periods and charge from the power grid during low load periods; Step S44: configuring a preset capacity in the distributed energy storage facility as an emergency power supply.

[0027] The difference between the peak and valley of power grid load is increasing day by day. The continuous increase in the penetration rate of renewable energy power generation in the power grid has further led to an increase in the peak load regulation pressure of the power grid. By implementing peak shaving and valley filling, the peak load demand can be reduced, thereby achieving the purpose of improving load characteristics and participating in system peak regulation, improving the utilization rate of power system equipment and delaying or reducing the expansion and upgrading of equipment in the generation, transmission and distribution links.

[0028] Through the comprehensive control method based on distributed energy storage, the economic losses that may occur to important users of the power system in the event of power grid failure or power outage can be prevented, and efficient and rapid active and reactive power control can be achieved, and system disturbances can be quickly responded to, frequency and voltage can be adjusted, load fluctuations can be compensated, and power supply reliability can be effectively improved, system operation stability can be improved, and power quality can be improved.

[0029] Based on the same concept as the above embodiment, an embodiment of the present invention further provides a comprehensive control system based on distributed energy storage, including: Data acquisition module: The data acquisition module is used to obtain information about all connected distributed energy storage facilities and target application scenario data. When a fault warning is detected, the target distributed energy storage facility with the fault warning is detected, the fault information of the target distributed energy storage facility is obtained, and the fault information is classified; The regulation capacity analysis module is used to analyze the characteristics of distributed energy storage facilities and obtain the regulation capacity data of distributed energy storage facilities under the target application scenario; Model building module, the model building module is used to collect and process the historical data of distributed energy storage facilities, obtain the power flow diagram with the lowest power consumption, and build an output flow model for the deployment of energy storage power based on the power flow diagram, including: extracting the load curve data of the distributed energy storage facilities, and building a historical average power consumption power grid diagram of each distribution network in the entire network based on the historical data of the active power consumption and power consumption of the distribution network collected through the database. The historical average power consumption power grid diagram uses the access end of each power device as a node, controls the active power change rate data of each power device as the input weight of the node, and connects each node with a directed graph; uses the data platform in the control sub-end to select nodes for the transmission power to be analyzed, and calculates the power flow diagram with the lowest power consumption based on the shortest path method; based on the position of each transmission node in the power flow diagram with the lowest power consumption, build an output flow model for the deployment of energy storage power; The output module is used to generate regulation instructions for controlling the distributed energy storage facilities in the output flow model based on the regulation capacity data and fault information of the target distributed energy storage facilities obtained in the target application scenario.

[0030] In this embodiment, the data acquisition module includes an energy storage facility information collection module and a fault processing module; The energy storage facility information collection module is used to determine the research object for characteristic analysis of distributed energy storage facilities based on the acquired target application scenario data, including the energy storage constraints, load curves and time span data of distributed energy storage facilities; extract the energy storage charging and discharging management data set within the energy storage constraints of distributed energy storage facilities, determine the total capacity of distributed energy storage facilities as Q, and mark the location information in the distributed energy storage facilities that can be used to install energy storage equipment; The fault handling module is used to retrieve the energy storage control range data of the target distributed energy storage facility from the database after detecting that a fault has occurred in the target distributed energy storage facility, and transmit the control range data to the map terminal. The map terminal calibrates the map range corresponding to the control range data in the map according to the control range data, and extracts the fault problem data affecting the operation of the target distributed energy storage facility from the fault information, including: thermal runaway of the battery module caused by internal battery cell failure and arcing and short circuit phenomena caused by components of the internal auxiliary system. The thermal runaway of the battery module caused by internal battery cell failure is marked as the first fault, the arcing and short circuit phenomena caused by components of the internal auxiliary system are marked as the second fault, and other fault problems detected except the first fault and the second fault are marked as the third fault.

[0031] In this embodiment, the regulation capability analysis module includes a trigger function setting module and a regulation capability value detection module; The trigger function setting module is used to set a plurality of control sub-terminals, and the setting positions of the plurality of control sub-terminals are respectively located in a plurality of distributed energy storage facilities, and the control sub-terminals are controlled to perform a plurality of energy storage output control functions, and the energy storage output control function includes: obtaining a trigger operation on an energy storage allocation function button in the control sub-terminal; in response to the trigger operation, performing an electric energy output operation corresponding to the energy storage allocation function button on the control sub-terminal, including: in response to the trigger operation, determining the type of the energy storage allocation function button; according to the type of the energy storage allocation function button, performing the electric power output and electric power input operations corresponding to the energy storage allocation function button; the energy storage allocation function button also includes a restore button, including: when the restore button is triggered, turning on the electric power safety control circuit corresponding to the distributed energy storage facility corresponding to the restore button, and performing a power-on operation on the distributed energy storage facility corresponding to the restore button; The regulating capacity value detection module is used to detect that no less than θ% of the control sub-terminals are performing power output operations at the same time, and obtain the regulating capacity coefficient A of the control sub-terminal group that has performed power output operations based on the statistically obtained control sub-terminal group that has performed power output operations, where θ is the limit ratio value of the control sub-terminal performing power output operations; the regulating capacity value of other distributed energy storage distributed within the map range corresponding to the calibrated control range data in the map, excluding the target distributed energy storage facility, is affected by the failure of the target distributed energy storage facility, and the regulating capacity value of other distributed energy storage affected by the failure of the target distributed energy storage facility is obtained. , where s is the base number of energy storage output, d is the target distributed energy storage facility pressure index obtained from the energy storage charging and discharging management data set based on energy storage constraints, t is the end time node obtained through the time span data, and t0 is the start time node obtained through the time span data.

[0032] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0033] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A comprehensive control method based on distributed energy storage, characterized in that: include: Obtain information on all connected distributed energy storage facilities and target application scenario data. When a fault warning is detected, detect the target distributed energy storage facility with the fault warning, obtain fault information of the target distributed energy storage facility, and classify the fault information; Performing characteristic analysis on the distributed energy storage facility to obtain regulation capacity data of the distributed energy storage facility in a target application scenario; Collecting and processing historical data of the distributed energy storage facility to obtain a power flow diagram with the lowest power consumption, and constructing an output flow direction model for allocating energy storage power based on the power flow diagram; Based on the regulation capability data of the target distributed energy storage facility acquired in the target application scenario and the fault information, regulation instructions for controlling the distributed energy storage facility are generated in the output flow model.

2. The integrated control method based on distributed energy storage according to claim 1 is characterized in that: The obtaining of all connected distributed energy storage facility information and target application scenario data includes: Based on the acquired target application scenario data, determining a research object for characteristic analysis of the distributed energy storage facility, including energy storage constraint conditions, load curves, and time span data of the distributed energy storage facility; The energy storage charging and discharging management data set within the energy storage constraint conditions of the distributed energy storage facility is extracted, the total capacity of the distributed energy storage facility is determined to be Q, and the location information within the distributed energy storage facility that can be used to install energy storage equipment is marked.

3. The integrated control method based on distributed energy storage according to claim 2 is characterized in that: The detecting of the target distributed energy storage facility with fault warning, obtaining fault information of the target distributed energy storage facility, and classifying the fault information includes: After detecting that a target distributed energy storage facility has a fault, the energy storage control range data of the target distributed energy storage facility is retrieved from the database, and the control range data is transmitted to the map terminal, and the map terminal calibrates the map range corresponding to the control range data in the map according to the control range data, wherein the map range includes residential areas and industrial parks covered by the target distributed energy storage facility that can exert power control; Extract fault problem data that affects the operation of the target distributed energy storage facility from the fault information, including: internal battery cell failure causing thermal runaway of the battery module and arcing and short circuit phenomena in the components of the internal auxiliary system; mark the thermal runaway of the battery module caused by the internal battery cell failure as a first fault, mark the arcing and short circuit phenomena in the components of the internal auxiliary system as a second fault, and mark other fault problems detected except the first fault and the second fault as a third fault.

4. The integrated control method based on distributed energy storage according to claim 3 is characterized in that: The characteristic analysis of the distributed energy storage facility to obtain the regulation capability data of the distributed energy storage facility in the target application scenario includes: A plurality of control sub-terminals are provided, and the setting positions of the plurality of control sub-terminals are respectively located in a plurality of distributed energy storage facilities, and the control sub-terminals are controlled to perform a plurality of energy storage output control functions, and the energy storage output control functions include: Acquire a trigger operation on an energy storage allocation function button in the control sub-end; In response to the trigger operation, the control sub-terminal performs an electric energy output operation corresponding to the energy storage allocation function key, including: In response to the trigger operation, determining the type of the energy storage allocation function key; According to the type of the energy storage allocation function key, executing the power output and power input operations corresponding to the energy storage allocation function key; The energy storage allocation function button also includes a recovery button, including: when the recovery button is triggered, the power safety control circuit corresponding to the distributed energy storage facility corresponding to the recovery button is turned on, and the distributed energy storage facility corresponding to the recovery button is powered on; When it is detected that no less than θ% of the control sub-terminals simultaneously perform the power output operation, based on the statistically acquired control sub-terminal group that has performed the power output operation, the adjustment capability coefficient of the control sub-terminal group that has performed the power output operation is obtained as A, where θ is the limit ratio value of the control sub-terminal performing the power output operation; Detect the adjustment capacity values ​​of other distributed energy storages affected by the failure of the target distributed energy storage facility, excluding the target distributed energy storage facility, and distributed within the map range corresponding to the calibrated control range data in the map, to obtain the adjustment capacity values ​​of other distributed energy storages affected by the failure of the target distributed energy storage facility , where s is the energy storage output base, d is the target distributed energy storage facility pressure index obtained based on the energy storage charge and discharge management data set based on the energy storage constraint condition, t is the end time node obtained through the time span data, and t0 is the start time node obtained through the time span data.

5. The integrated control method based on distributed energy storage according to claim 4 is characterized in that: The collecting and processing of historical data of the distributed energy storage facility to obtain a power flow diagram with the lowest power consumption, and constructing an output flow direction model for allocating energy storage power based on the power flow diagram, includes: Extract the load curve data of the distributed energy storage facility, and build a historical average power consumption power grid diagram of each distribution network in the whole network according to the historical data of active power consumption and power consumption of the distribution network collected through the database. The historical average power consumption power grid diagram uses the access end of each power device as a node, controls the active power change rate data of each power device as the input weight of the node, and connects each node with a directed graph; The data platform in the control sub-end is used to select nodes for the power transmission to be analyzed, and the power flow diagram with the lowest power consumption is calculated according to the shortest path method; Based on the power flow diagram with the lowest power consumption, the positions of the nodes for transmitting power are selected to construct an output flow model for allocating energy storage power.

6. The integrated control method based on distributed energy storage according to claim 5 is characterized in that: The step of generating, in the output flow model, a regulation instruction for controlling the distributed energy storage facility based on the regulation capability data of the target distributed energy storage facility obtained in the target application scenario and the fault information, comprises: According to the output flow model of the deployed energy storage power and the node selection position, the optimal distributed energy storage facility that needs to output power is calibrated, and the capacity division method of the optimal distributed energy storage facility is determined, including the capacity division coefficient corresponding to the first fault, the capacity division coefficient corresponding to the second fault, and the capacity division coefficient corresponding to the third fault. Based on the capacity division method, the capacity division coefficient of the first fault is set to , the capacity division factor of the second fault is set to , the capacity division coefficient of the third fault is set to , where X, Y, and Z are the capacity division coefficients corresponding to the first fault, the second fault, and the third fault, respectively, and λ is the preset third fault error rate; After a preset time period t0, electricity is injected to output electric energy to the optimal distributed energy storage facility. , where i is the capacity division coefficient corresponding to the detection of a fault problem in the target distributed energy storage facility, i=1, 2 or 3, f is the capacity adjustment level, and K0 is the preset basic distributed output power in the optimal distributed energy storage facility; Utilize the energy storage device in the distributed energy storage facility to discharge during peak load periods and charge from the power grid during low load periods; Configure preset capacity in distributed energy storage facilities as emergency power supply.

7. The integrated control system based on distributed energy storage is characterized by: The integrated control system based on distributed energy storage includes: A data acquisition module, which is used to obtain information about all connected distributed energy storage facilities and target application scenario data. When a fault warning is detected, the target distributed energy storage facility with the fault warning is detected, the fault information of the target distributed energy storage facility is obtained, and the fault information is classified; A regulating capacity analysis module, which is used to perform characteristic analysis on the distributed energy storage facility to obtain regulating capacity data of the distributed energy storage facility in a target application scenario; A model building module, the model building module is used to collect and process the historical data of the distributed energy storage facility, obtain the power flow diagram with the lowest power consumption, and construct an output flow model for allocating energy storage power based on the power flow diagram, including: extracting the load curve data of the distributed energy storage facility, and constructing a historical average power consumption power grid diagram of each distribution network in the entire network based on the historical data of active power consumption and power consumption of the distribution network collected through the database, the historical average power consumption power grid diagram uses the access end of each power device as a node, controls the active power change rate data of each power device as the input weight of the node, and connects each node with a directed graph; uses the data platform in the control sub-end to select nodes for the transmission power to be analyzed, and calculates the power flow diagram with the lowest power consumption based on the shortest path method; based on the positions of the nodes for each transmission power in the power flow diagram with the lowest power consumption, an output flow model for allocating energy storage power is constructed; An output module, the output module is used to generate, within the output flow model, regulation instructions for controlling the distributed energy storage facility based on the regulation capability data of the target distributed energy storage facility obtained in the target application scenario and the fault information.

8. The integrated control system based on distributed energy storage according to claim 7 is characterized in that: The data acquisition module includes an energy storage facility information collection module and a fault processing module; The energy storage facility information collection module is used to determine the research object for characteristic analysis of the distributed energy storage facility based on the acquired target application scenario data, including energy storage constraint conditions, load curves and time span data of the distributed energy storage facility; Extracting energy storage charging and discharging management data set within the energy storage constraint conditions of the distributed energy storage facility, determining the total capacity of the distributed energy storage facility to be Q, and marking location information within the distributed energy storage facility that can be used to install energy storage equipment; The fault processing module is used to retrieve the energy storage control range data of the target distributed energy storage facility from the database after detecting that a fault has occurred in the target distributed energy storage facility, and transmit the control range data to the map terminal. The map terminal calibrates the map range corresponding to the control range data in the map according to the control range data, and extracts the fault problem data affecting the operation of the target distributed energy storage facility from the fault information, including: thermal runaway of the battery module caused by internal battery cell failure and arcing and short circuit phenomena generated by components of the internal auxiliary system, marking the thermal runaway of the battery module caused by internal battery cell failure as the first fault, marking the arcing and short circuit phenomena generated by components of the internal auxiliary system as the second fault, and marking other fault problems detected except the first fault and the second fault as the third fault.

9. The integrated control system based on distributed energy storage according to claim 8 is characterized in that: The adjustment capability analysis module includes a trigger function setting module and an adjustment capability value detection module; The trigger function setting module is used to set a plurality of control sub-terminals, the setting positions of the plurality of control sub-terminals are respectively located in a plurality of distributed energy storage facilities, and the control sub-terminals are controlled to perform a plurality of energy storage output control functions, wherein the energy storage output control function includes: obtaining a trigger operation on an energy storage allocation function button in the control sub-terminal; in response to the trigger operation, performing an electric energy output operation corresponding to the energy storage allocation function button on the control sub-terminal, including: determining a type of the energy storage allocation function button in response to the trigger operation; and performing electric power output and electric power input operations corresponding to the energy storage allocation function button according to the type of the energy storage allocation function button; the energy storage allocation function button also includes a restore button, including: when the restore button is triggered, turning on the electric power safety control circuit corresponding to the distributed energy storage facility corresponding to the restore button, and performing a power-on operation on the distributed energy storage facility corresponding to the restore button; The regulating capacity value detection module is used to detect that no less than θ% of the control sub-terminals are performing power output operations at the same time, and based on the statistically obtained control sub-terminal group that has performed power output operations, obtain the regulating capacity coefficient of the control sub-terminal group that has performed power output operations as A, where θ is the limit ratio value of the control sub-terminal performing power output operations; detect the regulating capacity values ​​of other distributed energy storages affected by the failure of the target distributed energy storage facility, excluding the target distributed energy storage facility, and distributed within the map range corresponding to the calibrated control range data in the map, to obtain the regulating capacity values ​​of the other distributed energy storages affected by the failure of the target distributed energy storage facility. , where s is the energy storage output base, d is the target distributed energy storage facility pressure index obtained based on the energy storage charge and discharge management data set based on the energy storage constraint condition, t is the end time node obtained through the time span data, and t0 is the start time node obtained through the time span data.

10. The integrated control system based on distributed energy storage according to claim 9 is characterized in that: The output module includes an energy storage facility calibration module and a regulation module; The energy storage facility calibration module is used to calibrate the optimal distributed energy storage facility that needs to output power according to the output flow model of the deployed energy storage power and the node selection position, determine the capacity division method of the optimal distributed energy storage facility, and set the capacity division coefficient of the first fault based on the capacity division method , the capacity division factor of the second fault is set to , the capacity division coefficient of the third fault is set to , where λ is the preset third fault error rate; The regulating module is used to inject power after a preset time period t0 to output electric energy to the optimal distributed energy storage facility. , where i is the capacity division coefficient corresponding to the detection of a fault problem in the target distributed energy storage facility, i=1, 2 or 3, f is the capacity adjustment level, K0 is the preset basic allocated output power in the optimal distributed energy storage facility; the energy storage device in the distributed energy storage facility is used to discharge during peak load periods and to charge from the power grid during low load periods; and a preset capacity is configured in the distributed energy storage facility as an emergency power supply.

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