Comprehensive Control Method and System Based on Distributed Energy Storage

Abstract

The present invention discloses a comprehensive control method and system based on distributed energy storage, including: obtaining information of all accessed distributed energy storage facilities and target application scenario data, detecting faults of target distributed energy storage facilities, and processing the obtained fault information; analyzing the characteristics of the information of distributed energy storage facilities; collecting historical data of distributed energy storage facilities, and constructing an output flow model for allocating energy storage power; generating adjustment instructions for controlling distributed energy storage facilities. In the present invention, by analyzing the characteristics of the information of distributed energy storage facilities, constructing an output flow model for allocating energy storage power, and controlling distributed energy storage facilities, the possibility of uneven energy storage output of surrounding distributed energy storage facilities in the case of faults in target distributed energy storage facilities is greatly reduced, and the stability and reliability of the comprehensive control system are improved. The present invention has the characteristics of high accuracy in energy storage monitoring and strong reliability in energy storage allocation.

Description

Technical Field

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

[0002] At present, new energy is developing rapidly. The randomness, volatility, and anti-peaking characteristics of new energy have caused large fluctuations in the net load of the system, bringing huge pressure to the power and electricity balance. Distributed energy storage has the ability of rapid two-way flexible regulation and can be widely penetrated into various links of power generation, power transmission, power distribution and power consumption, improving the flexibility of the power system and becoming an optimal solution to solve the problems of a new power system with new energy as the main body.

[0003] As an energy storage system with advantages such as flexible regulation of output power, elimination of grid-connected harmonics, reduction of investment costs, and lower network losses of the energy storage system, the distributed energy storage comprehensive control system is widely used for monitoring the power system. However, energy storage allocation problems may occur during the implementation of monitoring. In the prior art, the distributed energy storage system uses energy storage facilities to store energy in a timely manner during the operation of the power system. After detecting a fault in a single distributed energy storage facility, other distributed energy storage facilities under layout control are used for energy storage allocation to supplement possible energy storage shortages in the target area. However, due to different fault problems of energy storage facilities, their impact on the power system in the area and the adjustment capabilities of other energy storage facilities are different, resulting in possible problems of uneven distribution and energy storage surplus during the energy storage allocation process, greatly reducing the efficiency of distributed energy storage comprehensive control. Therefore, it is 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 technique.

[0005] 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, including:

[0006] 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 the fault information of the target distributed energy storage facility, and classify the fault information;

[0007] Conduct characteristic analysis on the distributed energy storage facilities to obtain the adjustment ability data of the distributed energy storage facilities under the target application scenario;

[0008] Collect the historical data of the distributed energy storage facilities and process it to obtain the power flow diagram with the lowest power consumption, and construct an output flow model for deploying the energy storage power based on the power flow diagram;

[0009] Based on the regulation ability data and the fault information of the target distributed energy storage facilities obtained under the target application scenario, generate a regulation instruction for controlling the distributed energy storage facilities within the output flow model.

[0010] According to the above technical solution, the obtaining of all the information of the accessed distributed energy storage facilities and the target application scenario data includes:

[0011] Based on the obtained target application scenario data, determine the research objects for the characteristic analysis of the distributed energy storage facilities, including the energy storage constraint conditions, load curves and time span data of the distributed energy storage facilities;

[0012] Extract the energy storage charge and discharge management data set in the energy storage constraint conditions of the distributed energy storage facilities, determine the total capacity of the distributed energy storage facilities as Q, and mark the location information where energy storage devices can be installed in the distributed energy storage facilities.

[0013] According to the above technical solution, the detection of the target distributed energy storage facilities with fault warnings, obtaining the fault information of the target distributed energy storage facilities, and classifying the fault information includes:

[0014] After detecting that the target distributed energy storage facilities have failed, retrieve the energy storage control range data of the target distributed energy storage facilities in the database, 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, where the map range includes residential areas and industrial parks that can be covered by the power control of the target distributed energy storage facilities;

[0015] Extract the fault problem data that affects the operation of the target distributed energy storage facilities from the fault information, including: the internal battery cells fail, causing the battery module to thermal runaway, and the components of the internal auxiliary system generate arcs and short - circuit phenomena. Mark the internal battery cells fail, causing the battery module to thermal runaway as the first fault, mark the components of the internal auxiliary system generate arcs and short - circuit phenomena as the second fault, and mark other fault problems detected except the first and second faults as the third fault.

[0016] According to the above technical solution, the characteristic analysis of the distributed energy storage facilities to obtain the regulation ability data of the distributed energy storage facilities under the target application scenario includes:

[0017] Multiple control sub - terminals are set, and the setting positions of the multiple control sub - terminals are respectively in multiple distributed energy storage facilities. Control the control sub - terminals to execute multiple energy storage output control functions, and the energy storage output control functions include:

[0018] Obtain the trigger operation on the energy storage distribution function button in the control sub - terminal;

[0019] In response to the trigger operation, perform an electric energy output operation corresponding to the energy storage distribution function button on the control sub - terminal, including:

[0020] In response to the trigger operation, determine the type of the energy storage distribution function button;

[0021] According to the type of the energy storage distribution function button, perform power output and power input operations corresponding to the energy storage distribution function button;

[0022] The energy storage distribution function button further includes a recovery button, including: when the recovery button is triggered, conduct the power safety control loop corresponding to the distributed energy storage facility corresponding to the recovery button, and perform a power - on operation on the distributed energy storage facility corresponding to the recovery button;

[0023] When it is detected that no less than θ% of the control sub - terminals simultaneously execute the electric energy output operation, based on the group of control sub - terminals that have executed the electric energy output operation obtained by statistics, obtain the adjustment ability coefficient A of the group of control sub - terminals that have executed the electric energy output operation, where θ is the limit proportion value of the control sub - terminals executing the electric energy output operation;

[0024] Detect the adjustment ability value of other distributed energy storages distributed within the map range corresponding to the calibrated control range data in the map affected by the target distributed energy storage facility excluding the target distributed energy storage facility, and obtain the adjustment ability value of other distributed energy storages affected by the target distributed energy storage facility where s is the energy storage output base number, d is the pressure index of the target distributed energy storage facility obtained from the energy storage charge - discharge management data set based on the energy storage constraint conditions, t is the end time node obtained through the time - span data, and t 0 is the start time node obtained through the time - span data.

[0025] According to the above - mentioned technical solution, collecting the historical data of the distributed energy storage facility and processing it to obtain the power flow diagram with the lowest power consumption, and constructing an output flow model for deploying energy storage power based on the power flow diagram, including:

[0026] Extract the load curve data of the distributed energy storage facility, and construct a historical average power consumption grid map for each distribution grid in the whole network based on the historical data of active power consumption and electricity consumption of the distribution network collected through the database. The historical average power consumption grid map uses the access end of each power equipment as a node, and controls the active power change rate data of each power equipment as the input weight of the node, and connects each node with a directed graph;

[0027] Use the data platform in the control sub - end to select nodes for the power to be analyzed, and calculate the power flow graph with the lowest power consumption according to the shortest path method;

[0028] Based on the node selection positions of each power transmission in the power flow graph with the lowest power consumption, construct an output flow model for deploying energy storage power.

[0029] According to the above technical solution, based on the regulation ability data and the fault information of the target distributed energy storage facility obtained under the target application scenario, generate adjustment instructions for controlling the distributed energy storage facility in the output flow model, including:

[0030] According to the output flow model of the deployed energy storage power and the node selection positions, calibrate the optimal distributed energy storage facilities that need to output power, and determine the capacity division method of the optimal distributed energy storage facilities, 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, set the capacity division coefficient of the first fault as set the capacity division coefficient of the second fault as set the capacity division coefficient of the third fault as 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 error rate of the third fault;

[0031] Inject power after a preset time period t 0 and 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 K 0 is the preset basic allocated output electric energy in the optimal distributed energy storage facility;

[0032] Use the energy storage device in the distributed energy storage facility to discharge during peak load periods and charge from the power grid during off - peak load periods;

[0033] Configure a preset capacity in the distributed energy storage facility as an emergency power supply.

[0034] According to the above technical solution, a comprehensive control system based on distributed energy storage, the comprehensive control system based on distributed energy storage includes:

[0035] A data acquisition module, which is used to obtain information of all connected distributed energy storage facilities and target application scenario data. When a fault warning is detected, it detects the target distributed energy storage facility with the fault warning, obtains the fault information of the target distributed energy storage facility, and classifies the fault information.

[0036] An adjustment ability analysis module, which is used to analyze the characteristics of the distributed energy storage facilities to obtain the adjustment ability data of the distributed energy storage facilities under the target application scenario.

[0037] A model construction module, which is used to collect and process the historical data of the distributed energy storage facilities, obtain the power flow diagram with the lowest power consumption, and construct an output flow model for deploying energy storage power based on the power flow diagram, including: extracting the load curve data of the distributed energy storage facilities, and constructing a historical average power consumption grid diagram of each distribution power grid in the whole network according to the historical data of the active power consumption and power consumption of the distribution network collected through the database. The historical average power consumption grid diagram uses the access end of each power equipment as a node, and the data of the change rate of the active power of the electric energy of each power equipment is used as the input weight of the node, and each node is connected by a directed graph; using the data platform in the control sub-end to select nodes for the power to be analyzed, and calculating the power flow diagram with the lowest power consumption according to the shortest path method; based on the positions of the nodes of each power transmission in the power flow diagram with the lowest power consumption, constructing an output flow model for deploying energy storage power.

[0038] An output module, which is used to generate an adjustment instruction for controlling the distributed energy storage facilities in the output flow model based on the adjustment ability data and the fault information of the target distributed energy storage facilities obtained under the target application scenario.

[0039] According to the above technical solution, the data acquisition module includes an energy storage facility information collection module and a fault processing module;

[0040] The energy storage facility information collection module is used to determine the research object for analyzing the characteristics of the distributed energy storage facilities based on the obtained target application scenario data, including the energy storage constraint conditions, load curve and time span data of the distributed energy storage facilities;

[0041] Extract the energy storage charge and discharge management data set in the energy storage constraint conditions of the distributed energy storage facilities, determine the total capacity of the distributed energy storage facilities as Q, and mark the position information where energy storage equipment can be installed in the distributed energy storage facilities;

[0042] The fault handling module is used to, after detecting a fault in the target distributed energy storage facility, retrieve the energy storage control range data of the target distributed energy storage facility from the database, 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: the internal battery cells fail, causing the battery module to thermally runaway, and the components of the internal auxiliary system generate arcs and short - circuit phenomena. Mark the thermal runaway of the battery module caused by the failure of the internal battery cells as the first fault, mark the arcs and short - circuit phenomena generated by the 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.

[0043] According to the above - mentioned technical solution, the regulation ability analysis module includes a trigger function setting module and a regulation ability value detection module;

[0044] The trigger function setting module is used to set multiple control sub - terminals, and the installation positions of the multiple control sub - terminals are respectively in multiple distributed energy storage facilities, and control the control sub - terminals to execute multiple energy storage output control functions. The energy storage output control functions include: obtaining the trigger operation on the energy storage distribution function button in the control sub - terminal; in response to the trigger operation, performing the electric energy output operation corresponding to the energy storage distribution function button on the control sub - terminal, including: in response to the trigger operation, determining the type of the energy storage distribution function button; according to the type of the energy storage distribution function button, performing the power output and power input operations corresponding to the energy storage distribution function button; the energy storage distribution function button further includes a recovery button, including: when the recovery button is triggered, conducting the power safety control loop corresponding to the distributed energy storage facility corresponding to the recovery button, and performing a power - on operation on the distributed energy storage facility corresponding to the recovery button;

[0045] The regulation ability value detection module is used to, after detecting that no less than θ% of the control sub - terminals simultaneously execute the electric energy output operation, obtain the regulation ability coefficient A of the group of control sub - terminals that have executed the electric energy output operation based on the statistically obtained group of control sub - terminals that have executed the electric energy output operation, where θ is the limit proportion value of the control sub - terminals executing the electric energy output operation; detecting the regulation ability value of other distributed energy storage facilities distributed within the map range corresponding to the calibrated control range data in the map except the target distributed energy storage facility affected by the fault of the target distributed energy storage facility, and obtaining the regulation ability value of other distributed energy storage facilities affected by the fault of the target distributed energy storage facility , where s is the base of the energy storage output, d is the pressure index of the target distributed energy storage facility obtained from the energy storage charge and discharge management data set based on the energy storage constraint conditions, t is the end time node obtained from the time span data, and t 0 is the start time node obtained from the time span data.

[0046] According to the above technical solution, the output module includes an energy storage facility calibration module and an adjustment module;

[0047] 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 and node selection position of the allocated energy storage power, determine the capacity division method of the optimal distributed energy storage facility, and set the capacity division coefficient of the first fault to , set the capacity division coefficient of the second fault to , set the capacity division coefficient of the third fault to , where λ is the preset error rate of the third fault;

[0048] The adjustment module is used to inject power after a preset time period t 0 and output electric energy to the optimal distributed energy storage facility , where i is the capacity division coefficient corresponding to detecting a fault problem in the target distributed energy storage facility, i = 1, 2, or 3, f is the capacity adjustment level, and K 0 is the preset basic allocated output electric energy in the optimal distributed energy storage facility; use 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 a preset capacity in the distributed energy storage facility as an emergency power source.

[0049] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: By analyzing the characteristics of the information of the distributed energy storage facility, constructing an output flow model for allocating energy storage power, and controlling the distributed energy storage facility, the utilization rate of power system equipment is improved, efficient and rapid active and reactive power control is achieved, system disturbances are quickly responded to, frequency and voltage are adjusted, load fluctuations are compensated, power supply reliability is effectively improved, system operation stability is improved, power quality is improved, and the possibility of uneven energy storage output of surrounding distributed energy storage facilities in the case of a fault in the target distributed energy storage facility is greatly reduced, and the stability and reliability of the comprehensive control system are improved. Description of the Drawings

[0050] The drawings are used to provide 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 to the present invention. In the drawings:

[0051] Figure 1 It is a flowchart of the comprehensive control method based on distributed energy storage provided by an embodiment of the present invention. Specific embodiments

[0052] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0053] Please refer to Figure 1 , which is a flowchart of the comprehensive control method based on distributed energy storage provided by the embodiment of the present invention. As Figure 1 can be seen, the comprehensive control method based on distributed energy storage includes:

[0054] Step S1: Obtain information of all connected distributed energy storage facilities and target application scenario data. The information of distributed energy storage facilities includes information of terminal facilities such as distributed new energy, microgrid, big data center, 5G base station, and charging facilities. The target application scenario data includes power generation side energy storage, power transmission and distribution side energy storage, and user side energy storage 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;

[0055] Step S2: Analyze the characteristics of the distributed energy storage facilities to obtain the regulation ability data of the distributed energy storage facilities under the target application scenario;

[0056] Step S3: Collect and process the historical data of the distributed energy storage facilities, 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;

[0057] Step S4: Generate a regulation instruction for controlling the distributed energy storage facilities in the output flow model based on the regulation ability data and fault information of the target distributed energy storage facilities obtained under the target application scenario.

[0058] In the embodiment of 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 controlling the distributed energy storage facilities, the utilization rate of the power system equipment is improved, efficient and rapid active and reactive power control is realized, the system disturbance is quickly responded to, the frequency and voltage are adjusted, the load fluctuation is compensated, the power supply reliability is effectively improved, the system operation stability is improved, the power quality is improved, and the possibility of uneven energy storage output of the surrounding distributed energy storage facilities in the case of a fault in the target distributed energy storage facility is greatly reduced, and the stability and reliability of the comprehensive control system are improved.

[0059] In some preferred embodiments, obtaining information on all accessed distributed energy storage facilities and target application scenario data includes:

[0060] Step S111: Based on the obtained target application scenario data, determine the research object for characteristic analysis of the distributed energy storage facilities, including the energy storage constraint conditions, load curve, and time span data of the distributed energy storage facilities;

[0061] Among them, 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 by predicting and processing based on the historical load curve record and the load operation mode. The intraday curve obtains the load prediction curve for the preset time period on the same day; the time span data includes the start time node and the end time node within the preset time period;

[0062] Step S112: Extract the energy storage charge and discharge management data set within the energy storage constraint conditions of the distributed energy storage facilities, determine the total capacity of the distributed energy storage facilities as Q, and mark the location information within the distributed energy storage facilities where energy storage devices can be installed.

[0063] In some preferred embodiments, detecting a fault in the target distributed energy storage facility and processing the obtained fault information includes:

[0064] Step S121: After detecting a fault in the target distributed energy storage facility, retrieve the energy storage control range data of the target distributed energy storage facility in the database, and transmit the control range data to the map terminal. The map terminal calibrates the corresponding map range of the control range data in the map according to the control range data, where the map range includes residential areas and industrial parks that can be covered by power control exerted by the target distributed energy storage facility;

[0065] Step S122: Extract the fault problem data that affects the operation of the target distributed energy storage facility from the fault information, including: thermal runaway of the battery module caused by internal cell failure and arcing and short-circuit phenomena of the components in the internal auxiliary system. Mark the thermal runaway of the battery module caused by internal cell failure as the first fault, mark the arcing and short-circuit phenomena of the components in the internal auxiliary system as the second fault, and mark other fault problems detected except the first and second faults as the third fault.

[0066] The first and second faults are the two most main fault problems that occur in the energy storage facility. The thermal runaway of the battery module caused by internal cell failure leads to strong chemical reactions, causing local high temperature, high heat, and the accumulation of combustible gases, which eventually spreads to the battery module, triggering fires or even explosions; while the arcing and short-circuit phenomena of the components in the internal auxiliary system form local combustion or smoke, ultimately causing fire accidents.

[0067] In some preferred embodiments, the characteristic analysis of the information of the distributed energy storage facility to obtain the regulation ability data of the distributed energy storage facility in the target application scenario includes:

[0068] Step S21: Set a plurality of control sub - terminals, and the installation positions of the plurality of control sub - terminals are respectively in a plurality of distributed energy storage facilities. Control the control sub - terminals to execute a plurality of energy storage output control functions. The energy storage output control functions include:

[0069] Obtain the trigger operation on the energy storage distribution function button in the control sub - terminal;

[0070] In response to the trigger operation, perform an electric energy output operation corresponding to the energy storage distribution function button on the control sub - terminal, including:

[0071] In response to the trigger operation, determine the type of the energy storage distribution function button;

[0072] According to the type of the energy storage distribution function button, perform power output and power input operations corresponding to the energy storage distribution function button;

[0073] Step S22: The energy storage distribution function button further includes a recovery button, including: when the recovery button is triggered, turn on the power safety control loop corresponding to the distributed energy storage facility corresponding to the recovery button, and perform a power - on operation on the distributed energy storage facility corresponding to the recovery button;

[0074] Step S23: When it is detected that no less than θ% of the control sub - terminals simultaneously execute the electric energy output operation, based on the group of control sub - terminals that have executed the electric energy output operation obtained by statistics, the regulation ability coefficient of the group of control sub - terminals is A, where θ is the electric energy output limit ratio value of the control field. The regulation ability coefficient of the group of control sub - terminals is the influence situation of other distributed energy storage facilities within the map range corresponding to the calibrated management and control range data after a fault occurs in the target distributed energy storage facility. The larger the regulation ability coefficient of the group of control sub - terminals, the greater the influence of other distributed energy storage facilities by the fault of the target distributed energy storage facility; conversely, the smaller the regulation ability coefficient of the group of control sub - terminals, the smaller the influence of other distributed energy storage facilities by the fault of the target distributed energy storage facility;

[0075] Step S24: Detect the regulation ability value of other distributed energy storage facilities within the map range corresponding to the calibrated management and control range data except the target distributed energy storage facility that are affected by the fault of the target distributed energy storage facility, and obtain the regulation ability value of other distributed energy storage facilities affected by the fault of the target distributed energy storage facility , where s is the preset energy storage output base number at the control sub - end, d is the target distributed energy storage facility pressure index obtained from the energy storage charge - discharge management data set based on energy storage constraint conditions. The facility pressure index represents the amount of charge - discharge in different distributed energy storage facilities per unit time. The higher the pressure index, the less the charge - discharge amount; conversely, the higher the pressure index, the more the charge - discharge amount. The exponential function composed of the energy storage output base number s and the target distributed energy storage facility pressure index d, which can show the energy storage pressure output, can adjust the adjustment ability value of other distributed energy storage affected by the failure of the target distributed energy storage facility in terms of multi - magnification difference, ensuring that the value of the adjustment ability value W is highly affected by d. t is the end time node obtained through time - span data, t 0 is the start time node obtained through time - span data, is the duration of the preset time period. By adjusting the adjustment ability value W through the adjustment ability coefficient A of the control sub - end group, the duration of the preset time period, and the exponent of the exponential function The detection formula effectively improves the monitoring stability and accuracy of the comprehensive control system.

[0076] In some preferred embodiments, the building of the output flow model for allocating energy - storage power includes:

[0077] Step S31: Extract the load - curve data of the distributed energy storage facility, and construct a historical average power - consumption grid map for each distribution grid in the whole network according to the historical data of the active power consumption and electricity consumption of the distribution network collected through the database. The historical average power - consumption grid map takes the access end of each power device as a node, and the data of the change rate of the active power of the electric energy of each power device is used as the input weight of the node, and each node is connected by a directed graph;

[0078] Step S32: Use the data platform in the control sub - end to select nodes for the power to be analyzed, and calculate the power - flow graph with the lowest power consumption according to the shortest - path method;

[0079] Step S33: Based on the node - selection positions of each power transmission in the power - flow graph with the lowest power consumption, build an output flow model for allocating energy - storage power.

[0080] It solves the problem that the energy - storage outputs of the surrounding distributed energy storage facilities are uneven when the target distributed energy storage facility fails.

[0081] In some preferred embodiments, the generation of the adjustment instruction for controlling the energy - storage facility category based on the target application - scenario data and the failure prediction result of the distributed energy storage facility includes:

[0082] Step S41: According to the output flow model of the allocated energy storage power and the node selection position, calibrate the optimal distributed energy storage facilities that need to output power, and determine the capacity division method of the optimal distributed energy storage facilities, 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, set the capacity division coefficient of the first fault as , set the capacity division coefficient of the second fault as , set the capacity division coefficient of the third fault as , 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 error rate of the third fault;

[0083] Step S42: Inject power after a preset time period t 0 and output electric energy from the optimal distributed energy storage facilities , where i is the capacity division coefficient corresponding to the detected fault problem of the target distributed energy storage facility, i = 1, 2, or 3, f is the capacity adjustment level, and the capacity adjustment level f is used to control , K 0 is the preset basic allocated output electric energy in the optimal distributed energy storage facility;

[0084] Step S43: Use the energy storage devices in the distributed energy storage facilities to discharge during peak load periods and charge from the power grid during valley load periods;

[0085] Step S44: Configure a preset capacity in the distributed energy storage facility as an emergency power supply.

[0086] The peak-valley difference of the power grid load is increasing day by day, and the continuous increase in the penetration rate of renewable energy power generation in the power grid further leads to an increase in the peak shaving pressure of the power grid. By implementing peak shaving and valley filling, the peak load demand is reduced, so as to achieve the purpose of improving the load characteristics and participating in system peak shaving, improving the utilization rate of power system equipment and delaying or reducing the expansion and upgrading of equipment in the power generation - transmission - distribution links.

[0087] Through the distributed energy storage comprehensive control method, prevent the possible economic losses of important users of the power system during power grid faults or power outages, realize 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, and improve power quality.

[0088] Based on the same concept as the above embodiments, the embodiments of the present invention also provide a comprehensive control system based on distributed energy storage, including:

[0089] Data acquisition module, which is used to obtain information of all connected distributed energy storage facilities and data of target application scenarios. When a fault warning is detected, it detects the target distributed energy storage facilities with fault warnings, obtains the fault information of the target distributed energy storage facilities, and classifies the fault information;

[0090] Regulation capacity analysis module, which is used to analyze the characteristics of distributed energy storage facilities to obtain the regulation capacity data of distributed energy storage facilities under target application scenarios;

[0091] Model construction module, which is used to collect and process historical data of distributed energy storage facilities to 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 distributed energy storage facilities, and constructing a historical average power consumption grid diagram of each distribution grid in the whole network based on the historical data of active power consumption and electricity consumption of the distribution network collected through the database. The historical average power consumption grid diagram uses the access ends of each power device as nodes, and the data of the change rate of active power of electric energy of each power device is used as the input weight of the node, and each node is connected by a directed graph; using the data platform in the control sub-end to select nodes for the power to be analyzed, and calculating the power flow diagram with the lowest power consumption according to the shortest path method; based on the node selection positions of each power transmission in the power flow diagram with the lowest power consumption, constructing an output flow model for allocating energy storage power;

[0092] Output module, which is used to generate a regulation instruction 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 under the target application scenario.

[0093] In this embodiment, the data acquisition module includes an energy storage facility information collection module and a fault processing module;

[0094] The energy storage facility information collection module is used to determine the research object for analyzing the characteristics of distributed energy storage facilities based on the obtained target application scenario data, including the energy storage constraint conditions, load curve and time span data of distributed energy storage facilities; extracting the energy storage charge and discharge management data set in the energy storage constraint conditions of distributed energy storage facilities, determining the total capacity of distributed energy storage facilities as Q, and marking the position information available for installing energy storage devices in distributed energy storage facilities;

[0095] The fault handling module is used to retrieve the energy storage control scope data of the target distributed energy storage facility from the database after detecting a fault in the target distributed energy storage facility, and transmit the control scope data to the map terminal. The map terminal calibrates the map range corresponding to the control scope data in the map according to the control scope data, and extracts the fault problem data that affects the operation of the target distributed energy storage facility from the fault information, including: the internal battery cells fail, causing the battery module to thermal runaway, and the components of the internal auxiliary system generate arc and short - circuit phenomena. Mark the thermal runaway of the battery module caused by the failure of the internal battery cells as the first fault, mark the arc and short - circuit phenomena generated by the components of the internal auxiliary system as the second fault, and mark other fault problems detected except the first and second faults as the third fault.

[0096] In this embodiment, the regulation ability analysis module includes a trigger function setting module and a regulation ability value detection module;

[0097] The trigger function setting module is used to set multiple control sub - terminals. The setting positions of the multiple control sub - terminals are respectively in multiple distributed energy storage facilities, and control the control sub - terminals to execute multiple energy storage output control functions. The energy storage output control functions include: obtaining the trigger operation on the energy storage distribution function button in the control sub - terminal; in response to the trigger operation, performing the power output operation corresponding to the energy storage distribution function button on the control sub - terminal, including: in response to the trigger operation, determining the type of the energy storage distribution function button; according to the type of the energy storage distribution function button, performing the power output and power input operations corresponding to the energy storage distribution function button; the energy storage distribution function button also includes a recovery button, including: when the recovery button is triggered, conducting the power safety control loop corresponding to the distributed energy storage facility corresponding to the recovery button, and performing a power - on operation on the distributed energy storage facility corresponding to the recovery button;

[0098] The regulation ability value detection module is used to, after detecting that no less than θ% of the control sub - terminals execute the power output operation simultaneously, obtain the regulation ability coefficient A of the group of control sub - terminals that have executed the power output operation based on the statistically obtained group of control sub - terminals that have executed the power output operation, where θ is the boundary proportion value of the control sub - terminal executing the power output operation; detect the regulation ability value of other distributed energy storage facilities affected by the fault of the target distributed energy storage facility among the distributed energy storage facilities except the target distributed energy storage facility and distributed within the map range corresponding to the calibrated control scope data in the map, and obtain the regulation ability value of other distributed energy storage facilities affected by the fault of the target distributed energy storage facility where s is the energy storage output base number, d is the pressure index of the target distributed energy storage facility obtained from the energy storage charge - discharge management data set based on the energy storage constraint conditions, t is the end - time node obtained through the time - span data, and t 0 is the start - time node obtained through the time - span data.

[0099] It should be noted that in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device.

[0100] Finally, it should be noted that the above are only preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within 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; The distributed energy storage facility is subjected to characteristic analysis to obtain regulation capability data of the distributed energy storage facility in a 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, and obtain the adjustment capacity values ​​of other distributed energy storages affected by the failure of the target distributed energy storage facility. , where t is the end time node obtained through the time span data, t0 is the start time node obtained through the time span data, s is the energy storage output base preset by the control sub-end, and 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. 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 adjustment capacity values ​​of other distributed energy storage affected by the failure of the target distributed energy storage facility are adjusted at multiple rate differences to ensure that the value of the adjustment capacity value W is highly affected by d; 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 1 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.

5. The integrated control method based on distributed energy storage according to claim 4 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.

6. 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; The regulating capacity analysis module is used to perform characteristic analysis on the distributed energy storage facility to obtain the regulating capacity data of the distributed energy storage facility in the target application scenario, including: detecting 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, and obtaining the regulating 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, and 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. 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 adjustment capacity values ​​of other distributed energy storage affected by the failure of the target distributed energy storage facility are adjusted at multiple rate differences to ensure that the value of the adjustment capacity value W is highly affected by d; 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 capability value detection module is used to obtain the regulating capability coefficient of the control sub-end group that has performed the power output operation as A based on the statistically acquired control sub-end group that has performed the power output operation after detecting that no less than θ% of the control sub-ends perform the power output operation at the same time, wherein θ is the limit ratio value of the control sub-end performing the power output operation; 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.

7. The integrated control system based on distributed energy storage according to claim 6 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.

8. The integrated control system based on distributed energy storage according to claim 6 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 , set the capacity division factor of the second fault to , the capacity division factor 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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