Emergency power supply coordination control method and system for energy storage vehicle

Abstract

The invention relates to the technical field of power supply scheduling, and provides an energy storage vehicle emergency power supply coordination control method and system, and the method comprises the steps: querying a power supply energy storage vehicle in a power failure region, calculating the energy storage saturation corresponding to the power supply energy storage vehicle, and calculating the energy storage period corresponding to the power supply energy storage vehicle; based on the geographic positions corresponding to the power supply and energy storage vehicle and the power-off area, obtaining a parking position and an area position, calculating an optimal driving period corresponding to the power supply and energy storage vehicle, and determining a response period corresponding to the power supply and energy storage vehicle; determining power users in the power-off area, collecting power utilization behavior information of the power users, analyzing power utilization purposes corresponding to the power users, calculating power-off loss corresponding to the power-off area, and setting regulation and control priorities corresponding to the power-off area; and calculating the energy charging benefit corresponding to the power supply and energy storage vehicle, setting a scheduling sequence corresponding to the power supply and energy storage vehicle, and controlling the power supply and energy storage vehicle to supply energy to the power-off area. The invention aims to improve the emergency power supply coordination control efficiency of the energy storage vehicle.

Description

Technical Field

[0001] The present invention relates to the technical field of power supply dispatching, and in particular to a coordinated control method and system for emergency power supply of an energy storage vehicle. Background Art

[0002] As an emerging emergency power supply equipment, energy storage vehicles play an important role in the power system by storing electrical energy in batteries and releasing it when needed. For example, if there is a sudden power outage in some area, energy storage vehicles can be dispatched to provide emergency power supply to the area, so that the corresponding maintenance personnel can repair the fault in the area, and provide users with reliable power support.

[0003] At present, the coordinated control of emergency power supply of energy storage vehicles adopts the nearest principle method, that is, the distance between the energy storage vehicle and the power outage area is calculated, and the energy storage vehicle is dispatched according to the distance. However, in actual application, this method does not take into account the energy storage vehicle's own energy storage situation and the actual cycle required, which leads to poor energy supply effect of the energy storage vehicle to the power outage area. Therefore, a method is needed to improve the efficiency of coordinated control of emergency power supply of energy storage vehicles. Summary of the invention

[0004] The present invention provides a method and system for coordinated control of emergency power supply of an energy storage vehicle, the main purpose of which is to improve the efficiency of coordinated control of emergency power supply of an energy storage vehicle.

[0005] To achieve the above-mentioned purpose, the present invention provides a coordinated control method for emergency power supply of an energy storage vehicle, comprising:

[0006] Obtain a power outage area to be regulated, query the power supply and energy storage vehicles in the power outage area, calculate the energy storage saturation corresponding to the power supply and energy storage vehicles, and calculate the energy storage period corresponding to the power supply and energy storage vehicles according to the energy storage saturation;

[0007] Based on the geographical locations corresponding to the power supply and energy storage vehicle and the power outage area, a parking position and an area position are obtained; combining the parking position and the area position, an optimal driving cycle corresponding to the power supply and energy storage vehicle is calculated; combining the energy storage cycle and the optimal driving cycle, a response cycle corresponding to the power supply and energy storage vehicle is determined;

[0008] Determine the power users in the power outage area, collect the power usage behavior information of the power users, analyze the power usage purpose corresponding to the power users according to the power usage behavior information, calculate the power outage loss corresponding to the power outage area according to the power usage purpose and the response period, and set the control priority corresponding to the power outage area according to the power outage loss;

[0009] In combination with the energy storage cycle, the charging benefit corresponding to the power supply and energy storage vehicle is calculated; in combination with the charging benefit and the response cycle, a scheduling sequence corresponding to the power supply and energy storage vehicle is set; in combination with the scheduling sequence and the regulation priority, the power supply and energy storage vehicle is controlled to supply energy to the power outage area.

[0010] Further, the calculating of the energy storage saturation corresponding to the power supply and energy storage vehicle includes:

[0011] Identify the on-board battery used by the power supply and energy storage vehicle, and query the battery capacitance corresponding to the on-board battery;

[0012] Detecting the leakage current of the vehicle battery during charging, and calculating the leakage rate of the vehicle battery based on the leakage current and the battery capacitance;

[0013] Collecting historical charging data corresponding to the vehicle-mounted battery, and calculating the energy conversion rate corresponding to the vehicle-mounted battery according to the historical charging data;

[0014] Calculate the battery energy storage saturation corresponding to the vehicle-mounted battery by combining the leakage rate and the energy conversion rate;

[0015] The battery energy storage saturation is summed to obtain the energy storage saturation corresponding to the power supply and energy storage vehicle.

[0016] Furthermore, the combining the leakage rate and the energy conversion rate to calculate the battery energy storage saturation corresponding to the vehicle-mounted battery includes:

[0017] Dispatching a battery charging log corresponding to the vehicle-mounted battery;

[0018] Calculating the charging time of the vehicle battery according to the battery charging log;

[0019] Querying the sequential battery capacity of the vehicle battery during charging;

[0020] In combination with the charging time, the battery capacity, the leakage rate and the energy conversion rate, the battery energy storage saturation corresponding to the vehicle battery is calculated by the following formula:

[0021]

[0022] Among them, A represents the battery energy storage saturation corresponding to the vehicle battery, B t-1 represents the time series battery capacity corresponding to time t-1, φ represents the leakage rate, D t It represents the capacity corresponding to time t in the time series battery capacity, t represents the charging time series during the charging process, Δt represents the charging time, ω represents the energy conversion rate, and E represents the capacity extreme value corresponding to the vehicle battery.

[0023] Further, the combining the parking position and the regional position to calculate the optimal driving cycle corresponding to the power supply and energy storage vehicle includes:

[0024] In combination with the parking position and the regional position, a driving path corresponding to the power supply and energy storage vehicle is planned in a preset regional map;

[0025] Calculating the driving distance corresponding to the driving path, dispatching monitoring equipment in the driving path, and using the monitoring equipment to collect path traffic data corresponding to the driving path;

[0026] Calculating the path congestion degree corresponding to the driving path according to the path traffic data;

[0027] Filtering out an optimal driving path from the driving paths according to the path congestion degree and the driving distance;

[0028] Obtaining performance parameters corresponding to the power supply and energy storage vehicle;

[0029] The optimal driving cycle corresponding to the power supply and energy storage vehicle is calculated by combining the performance parameters, the optimal driving path, the path congestion degree and the driving distance.

[0030] Furthermore, the calculating of the path congestion degree corresponding to the driving path according to the path traffic data includes:

[0031] Identify the moving vehicles and their corresponding vehicle speeds in the path traffic data, and count the total number of vehicles corresponding to the moving vehicles;

[0032] According to the vehicle speed, filter out congested vehicles among the traveling vehicles, and measure the duration and number of vehicles corresponding to the congested vehicles;

[0033] Combined with the total number of vehicles, the number of vehicles and the duration, the path congestion degree corresponding to the driving path is calculated by the following formula:

[0034]

[0035] Among them, H represents the path congestion corresponding to the driving path, F1 represents the number of vehicles, G represents the duration, and F2 represents the total number of vehicles.

[0036] Further, analyzing the electricity usage purpose corresponding to the power user according to the electricity usage behavior information includes:

[0037] Cleaning the electricity usage behavior information to obtain cleaning behavior information;

[0038] Extracting the information representation corresponding to the cleaning behavior information, and calculating the feature importance corresponding to the information representation;

[0039] According to the feature importance, filtering out key behavior information from the cleaning behavior information;

[0040] Analyze the behavioral connotation of the key behavioral information;

[0041] According to the behavioral connotation, the electricity usage purpose corresponding to the electricity user is analyzed.

[0042] Furthermore, the calculating the feature importance corresponding to the information representation includes:

[0043] quantizing the information representation to obtain an information representation value;

[0044] Calculating the occurrence probability corresponding to the information representation value;

[0045] Calculating the representation entropy corresponding to the information representation according to the occurrence probability;

[0046] Segmenting the information representation to obtain information sub-representations;

[0047] Calculating the sub-representation entropy corresponding to the information sub-representation;

[0048] The feature importance corresponding to the information representation is calculated by combining the representation entropy and the sub-representation entropy.

[0049] Furthermore, the calculating the power outage loss corresponding to the power outage area according to the power usage purpose and the response period includes:

[0050] Collect the power-consuming equipment corresponding to the power-consuming purpose, and dispatch the economic data of power outage losses of the power-consuming equipment;

[0051] Calculating the unit power outage cost of the electrical equipment according to the power outage loss economic data;

[0052] Measuring the missing power of the device corresponding to the electric device, and determining the power outage period of the device corresponding to the electric device according to the response period;

[0053] In combination with the missing power of the equipment, the unit power outage cost and the power outage period of the equipment, the power outage loss corresponding to the power outage area is calculated by the following formula:

[0054]

[0055] Among them, P represents the power outage loss corresponding to the power outage area, Q a represents the unit outage cost of the ath power-consuming device, T represents the power outage period of the device, and W aIt represents the missing power of the a-th power consumer, a represents the serial number of the power consumer, and r represents the total number of the power consumers.

[0056] Furthermore, the calculation of the charging benefit corresponding to the power supply and energy storage vehicle in combination with the energy storage cycle includes:

[0057] Query the charging unit price corresponding to the power supply and energy storage vehicle;

[0058] Calculate the energy charging expenditure corresponding to the power supply and energy storage vehicle based on the energy storage cycle and the energy charging unit price;

[0059] Calculate the power demand corresponding to the power outage area, and extract the power supply unit price of the power supply and energy storage vehicle;

[0060] The charging benefit corresponding to the power supply and energy storage vehicle is calculated based on the charging expenditure, the required power and the power supply unit price.

[0061] An emergency power supply coordination control system for an energy storage vehicle, characterized in that the system comprises:

[0062] An energy storage cycle calculation module is used to obtain a power outage area to be regulated, query the power supply and energy storage vehicles in the power outage area, calculate the energy storage saturation corresponding to the power supply and energy storage vehicles, and calculate the energy storage cycle corresponding to the power supply and energy storage vehicles according to the energy storage saturation;

[0063] A response cycle determination module is used to obtain a parking position and a regional position based on the geographical locations corresponding to the power supply and energy storage vehicle and the power outage area; calculate the optimal driving cycle corresponding to the power supply and energy storage vehicle in combination with the parking position and the regional position; and determine the response cycle corresponding to the power supply and energy storage vehicle in combination with the energy storage cycle and the optimal driving cycle;

[0064] a control priority setting module, used to determine the power users in the power outage area, collect the power usage behavior information of the power users, analyze the power usage purpose corresponding to the power users according to the power usage behavior information, calculate the power outage loss corresponding to the power outage area according to the power usage purpose and the response period, and set the control priority corresponding to the power outage area according to the power outage loss;

[0065] The energy supply processing module is used to calculate the charging efficiency corresponding to the power supply and energy storage vehicle in combination with the energy storage cycle, set the scheduling sequence corresponding to the power supply and energy storage vehicle in combination with the charging efficiency and the response cycle, and control the power supply and energy storage vehicle to supply energy to the power outage area in combination with the scheduling sequence and the regulation priority.

[0066] The present invention calculates the energy storage saturation corresponding to the power supply and energy storage vehicle, and can understand the energy storage situation corresponding to the power supply and energy storage vehicle, so as to facilitate the subsequent calculation of the energy storage cycle of the power supply and energy storage vehicle. The present invention calculates the optimal driving cycle corresponding to the power supply and energy storage vehicle by combining the parking position and the regional position, and can obtain the shortest time required for the power supply and energy storage vehicle to travel to the power outage area, which is helpful for the subsequent reasonable arrangement of the operation of the power supply and energy storage vehicle, so as to improve the dispatching efficiency of the power supply and energy storage vehicle. The present invention analyzes the power consumption purpose corresponding to the power user according to the power consumption behavior information, and can understand the corresponding power use of the power user, such as lighting. Or processing and manufacturing, so as to facilitate the calculation of subsequent power outage losses. The present invention calculates the corresponding charging benefit of the power supply and energy storage vehicle by combining the energy storage cycle, and can obtain the economic benefit of the power supply and energy storage vehicle, thereby obtaining the corresponding scheduling cost of the power supply and energy storage vehicle, so as to facilitate the setting and processing of the subsequent scheduling sequence. The present invention sets the corresponding scheduling sequence of the power supply and energy storage vehicle by combining the charging benefit and the response cycle, so as to reduce the scheduling cost of the power supply and energy storage vehicle, and controls the power supply and energy storage vehicle to supply energy to the power outage area by combining the scheduling sequence and the regulation priority, which can improve the power supply coordination control efficiency of the power outage area. Therefore, a method and system for coordinated control of emergency power supply for energy storage vehicles provided in an embodiment of the present invention can improve the efficiency of coordinated control of emergency power supply for energy storage vehicles. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 A schematic flow chart of a coordinated control method for emergency power supply of an energy storage vehicle provided in one embodiment of the present invention;

[0068] Figure 2 A functional module diagram of an emergency power supply coordination control system for an energy storage vehicle provided in one embodiment of the present invention.

[0069] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0070] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0071] An embodiment of the present application provides a coordinated control method for emergency power supply of an energy storage vehicle. In an embodiment of the present application, the execution subject of the coordinated control method for emergency power supply of an energy storage vehicle includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided in an embodiment of the present application. In other words, the coordinated control method for emergency power supply of an energy storage vehicle can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc. The server can be an independent server, or it can be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content distribution networks (Content Delivery Network, CDN), and big data and artificial intelligence platforms.

[0072] Reference Figure 1 FIG. 1 is a flow chart of a coordinated control method for emergency power supply of an energy storage vehicle provided by an embodiment of the present invention. In this embodiment, the coordinated control method for emergency power supply of an energy storage vehicle includes steps S1-S4.

[0073] S1. Obtain a power outage area to be regulated, query the power supply and energy storage vehicles in the power outage area, calculate the energy storage saturation corresponding to the power supply and energy storage vehicle, and calculate the energy storage period corresponding to the power supply and energy storage vehicle according to the energy storage saturation.

[0074] The present invention can understand the energy storage situation corresponding to the power supply and energy storage vehicle by calculating the energy storage saturation corresponding to the power supply and energy storage vehicle, so as to facilitate the subsequent calculation of the energy storage cycle of the power supply and energy storage vehicle, wherein the power outage area is an area where electricity cannot be supplied normally due to some faults, such as a community or a processing plant, the power supply and energy storage vehicle is a vehicle with power supply and energy storage functions, the power parameter is a descriptive parameter of the power performance and energy output capacity of the power supply and energy storage vehicle, and the energy storage saturation is the current energy storage degree corresponding to the power supply and energy storage vehicle.

[0075] As an embodiment of the present invention, the calculating the energy storage saturation corresponding to the power supply and energy storage vehicle includes: identifying the on-board battery used by the power supply and energy storage vehicle, querying the battery capacitance corresponding to the on-board battery, detecting the leakage current of the on-board battery during charging, combining the leakage current and the battery capacitance to calculate the leakage rate of the on-board battery, collecting historical charging data corresponding to the on-board battery, calculating the energy conversion rate corresponding to the on-board battery according to the historical charging data, calculating the battery energy storage saturation corresponding to the on-board battery in combination with the leakage rate and the energy conversion rate, and summing the battery energy storage saturations to obtain the energy storage saturation corresponding to the power supply and energy storage vehicle.

[0076] Among them, the on-board battery is a battery used for energy storage in the power supply and energy storage vehicle, the leakage rate indicates the corresponding leakage degree of the on-board battery during charging, the energy conversion rate indicates the corresponding charging efficiency of the on-board battery, and the battery energy storage saturation indicates the corresponding energy storage degree of the on-board battery.

[0077] Furthermore, the identification of the on-board battery used in the power supply and energy storage vehicle can be achieved through a battery identification tool, such as a dedicated battery tester; the battery capacitance corresponding to the on-board battery can be obtained by querying the technical manual provided by the manufacturer; the detection of the leakage current of the on-board battery during the charging process can be achieved by a leakage tester; the leakage rate of the on-board battery can be obtained by calculating the ratio of the leakage current to the battery capacitance; the collection of historical charging data corresponding to the on-board battery can be achieved through a battery management system, such as a data storage system; the energy conversion rate corresponding to the on-board battery can be obtained by obtaining the actual stored electrical energy and input electrical energy in the historical charging data, and calculating the energy conversion rate through the formula (actual stored electrical energy / input electrical energy)×100%.

[0078] Further, as an optional embodiment of the present invention, the combining of the leakage rate and the energy conversion rate to calculate the battery energy storage saturation corresponding to the vehicle battery includes: scheduling the battery charging log corresponding to the vehicle battery, calculating the charging time corresponding to the vehicle battery according to the battery charging log, and querying the sequential battery capacity of the vehicle battery during the charging process, combining the charging time, the battery capacity, the leakage rate and the energy conversion rate, and calculating the battery energy storage saturation corresponding to the vehicle battery by the following formula:

[0079]

[0080] Among them, A represents the battery energy storage saturation corresponding to the vehicle battery, B t-1 represents the time series battery capacity corresponding to time t-1, φ represents the leakage rate, D tIt represents the capacity corresponding to time t in the time series battery capacity, t represents the charging time series during the charging process, Δt represents the charging time, ω represents the energy conversion rate, and E represents the capacity extreme value corresponding to the vehicle battery.

[0081] Among them, the battery charging log is the charging record data of the vehicle battery, the charging duration is the total charging time corresponding to the vehicle battery, and the capacity extreme value is the maximum capacity corresponding to the vehicle battery.

[0082] Furthermore, the battery charging log corresponding to the vehicle battery can be obtained from the scheduling of the charging equipment, such as a charging pile; the starting charging time and the ending charging time of the vehicle battery are determined from the battery charging log, and the corresponding charging time of the vehicle battery is obtained by calculating the difference between the ending charging time and the starting charging time; the sequential battery capacity of the vehicle battery during the charging process can be queried by the data measured by the multi-function ammeter; the capacity extreme value corresponding to the vehicle battery can be obtained by querying the above-mentioned technical manual.

[0083] The present invention calculates the energy storage cycle corresponding to the power supply and energy storage vehicle according to the energy storage saturation, and can obtain the time required for the power supply and energy storage vehicle to store energy, thereby facilitating the subsequent determination of the response cycle corresponding to the power supply and energy storage vehicle, wherein the energy storage cycle is the time required for the power supply and energy storage vehicle to be fully charged. Furthermore, the remaining amount of charge to be charged of the power supply and energy storage vehicle is obtained by subtracting the energy storage saturation from the capacity extreme value of the power supply and energy storage vehicle, and the charging rate of the charging device corresponding to the power supply and energy storage vehicle is queried, and the energy storage cycle corresponding to the power supply and energy storage vehicle is obtained by dividing the remaining amount of charge by the charging rate.

[0084] S2. Based on the geographical locations corresponding to the power supply and energy storage vehicle and the power outage area, a parking position and an area position are obtained; in combination with the parking position and the area position, an optimal driving cycle corresponding to the power supply and energy storage vehicle is calculated; in combination with the energy storage cycle and the optimal driving cycle, a response cycle corresponding to the power supply and energy storage vehicle is determined.

[0085] The present invention calculates the optimal driving cycle corresponding to the power supply and energy storage vehicle by combining the parking position and the regional position, and can obtain the shortest time required for the power supply and energy storage vehicle to travel to the power outage area, which is helpful for the subsequent reasonable arrangement of the operation of the power supply and energy storage vehicle so as to improve the scheduling efficiency of the power supply and energy storage vehicle, wherein the parking position and the regional position are the actual positions corresponding to the power supply and energy storage vehicle and the power outage area, respectively, and the optimal driving cycle is the shortest time for the power supply and energy storage vehicle to travel to the power outage area. Furthermore, the positioning of the geographical locations corresponding to the power supply and energy storage vehicle and the power outage area can be achieved through a GPS positioning system.

[0086] As an embodiment of the present invention, the combining of the parking position and the regional position to calculate the optimal driving cycle corresponding to the power supply and energy storage vehicle includes: combining the parking position and the regional position to plan the driving path corresponding to the power supply and energy storage vehicle in a preset regional map, calculating the driving distance corresponding to the driving path, scheduling monitoring equipment in the driving path, using the monitoring equipment to collect path traffic data corresponding to the driving path, calculating the path congestion corresponding to the driving path according to the path traffic data, selecting the optimal driving path from the driving path according to the path congestion and the driving distance, obtaining the performance parameters corresponding to the power supply and energy storage vehicle, and combining the performance parameters, the optimal driving path, the path congestion and the driving distance to calculate the optimal driving cycle corresponding to the power supply and energy storage vehicle.

[0087] Among them, the preset area map is a map between the power supply and energy storage vehicle and the power outage area, the driving path is the path taken by the power supply and energy storage vehicle to reach the power outage area, the monitoring device is a device used to monitor vehicles in the driving path, the path traffic data is data obtained by the monitoring device from photographing vehicles in the driving path, the path congestion degree indicates the congestion degree corresponding to the driving path, the optimal form path is the most suitable path in the driving path, and the performance parameter is the performance description information corresponding to the power supply and energy storage vehicle, such as vehicle speed or acceleration performance.

[0088] Furthermore, planning the driving path corresponding to the power supply and energy storage vehicle in the preset area map can be achieved through a path planning algorithm, such as an RRT algorithm; the calculation of the driving distance corresponding to the driving path can be achieved through the Euclidean distance; screening out the optimal driving path from the driving path can be achieved through the correspondence between the path congestion and the driving distance, such as the path corresponding to the lowest path congestion and the shortest driving distance; the performance parameters corresponding to the power supply and energy storage vehicle can be obtained by consulting the manufacturer; according to the performance parameters, the driving speed corresponding to the power supply and energy storage vehicle is determined, and the optimal path corresponding to the optimal driving path is determined according to the driving distance, and the optimal path is divided by the driving speed, and the result is multiplied by the path congestion corresponding to the optimal driving road to obtain the optimal driving cycle corresponding to the power supply and energy storage vehicle.

[0089] As an embodiment of the present invention, the path congestion degree corresponding to the driving path is calculated based on the path traffic data, including: identifying the driving vehicles and their corresponding vehicle speeds in the path traffic data, and counting the total number of vehicles corresponding to the driving vehicles, screening out congested vehicles among the driving vehicles based on the vehicle speeds, measuring the duration and number of vehicles corresponding to the congested vehicles, and combining the total number of vehicles, the number of vehicles and the duration to calculate the path congestion degree corresponding to the driving path by the following formula:

[0090]

[0091] Among them, H represents the path congestion corresponding to the driving path, F1 represents the number of vehicles, G represents the duration, and F2 represents the total number of vehicles.

[0092] Furthermore, the identification of the moving vehicles and their corresponding vehicle speeds in the path traffic data can be achieved through an identification algorithm, and the identification algorithm is compiled by a scripting language, such as JS scripting language; the identification of the total number of vehicles corresponding to the moving vehicles can be achieved through a license plate recognition algorithm, and the license plate numbers of the moving vehicles are identified by the license plate recognition algorithm, and the number of license plate numbers is counted to obtain the total number of vehicles; the vehicle speed is compared with the congestion speed to screen out the congested vehicles among the moving vehicles. The congestion speed is the speed corresponding to the congested vehicles. Generally, the congestion speed is set to 10km / h, and vehicles below this speed are congested vehicles.

[0093] Furthermore, the energy storage cycle and the optimal driving cycle are summed to obtain a response cycle corresponding to the power supply and energy storage vehicle.

[0094] S3. Determine the power users within the power outage area, collect power usage behavior information of the power users, analyze the power usage purposes of the power users based on the power usage behavior information, calculate the power outage losses corresponding to the power outage area based on the power usage purposes and the response period, and set the control priority corresponding to the power outage area based on the power outage losses.

[0095] The present invention analyzes the electricity usage purpose corresponding to the electricity user based on the electricity usage behavior information, and can understand the electricity usage purpose corresponding to the electricity user, such as lighting or processing and manufacturing, so as to facilitate the calculation of subsequent power outage losses, wherein the electricity user is the user in the power outage area, such as a community user or a manufacturer, and the electricity usage behavior information is the electricity usage record data corresponding to the electricity user. Furthermore, the electricity usage behavior information of the electricity user can be collected by the power company in the power outage area.

[0096] As an embodiment of the present invention, analyzing the electricity usage purpose corresponding to the electricity user based on the electricity usage behavior information includes: cleaning the electricity usage behavior information to obtain cleaning behavior information, extracting information representation corresponding to the cleaning behavior information, calculating the feature importance corresponding to the information representation, screening out key behavior information from the cleaning behavior information based on the feature importance, analyzing the behavior connotation of the key behavior information, and analyzing the electricity usage purpose corresponding to the electricity user based on the behavior connotation.

[0097] Among them, the cleaning behavior information is the information obtained after removing invalid information or erroneous information in the electricity usage behavior information, the information representation is the description corresponding to the cleaning behavior information, the feature importance represents the information value corresponding to the information representation, the key behavior information is the representative information in the cleaning behavior information, and the behavior connotation is the semantics corresponding to the key behavior information.

[0098] Furthermore, the cleaning process of the electricity usage behavior information can be achieved through the box plot method; analyzing the information attributes corresponding to the cleaning behavior information, selecting the corresponding feature extraction algorithm according to the information attributes, and using the feature extraction algorithm to extract the information representation of the cleaning behavior information, such as the numerical class, the average value can be calculated through the average function; the key behavior information can be screened out from the cleaning behavior information based on the numerical value corresponding to the feature importance, and the information with the largest feature importance value in each information is selected as the key behavior information; the behavior connotation of the key behavior information can be achieved through the semantic analysis method; identifying the key characters in the behavior connotation, and determining the corresponding electricity usage purpose of the power user through the key characters.

[0099] Further, as an optional embodiment of the present invention, the calculating the feature importance corresponding to the information representation includes: quantizing the information representation to obtain an information representation value, calculating the occurrence probability corresponding to the information representation value, calculating the representation entropy corresponding to the information representation based on the occurrence probability, segmenting the information representation to obtain an information sub-representation, and calculating the sub-representation entropy corresponding to the information sub-representation, and combining the representation entropy and the sub-representation entropy to calculate the feature importance corresponding to the information representation.

[0100] Among them, the information representation value is the expression value of the information representation, the representation entropy represents the degree of confusion corresponding to the information representation, the information sub-representation is a component of the information representation, and the sub-representation entropy represents the degree of confusion corresponding to the information sub-representation. Furthermore, the quantization processing of the information representation can be achieved through a coding method, such as one-hot encoding; the occurrence probability can be obtained by dividing the number of occurrences of the information representation value by the total number of representation values; the representation entropy corresponding to the information representation can be calculated by the Shannon entropy algorithm; the segmentation processing of the information representation can be achieved by the K-Means clustering algorithm; the calculation principle of the sub-representation entropy is the same as that of the representation entropy, which will not be elaborated here.

[0101] Further, as an optional embodiment of the present invention, the combining the representation entropy and the sub-representation entropy to calculate the feature importance corresponding to the information representation includes:

[0102] The feature importance corresponding to the information representation is calculated by the following formula:

[0103]

[0104] Among them, J represents the feature importance corresponding to the information representation, K i represents the representation entropy of the i-th information representation, L ij represents the probability corresponding to the jth information sub-representation in the i-th information representation, K ij represents the sub-representation entropy corresponding to the j-th information sub-representation in the ith information representation, i represents the serial number corresponding to the information representation, and j represents the serial number of the information sub-representation in the ith information representation.

[0105] The present invention calculates the power outage loss corresponding to the power outage area according to the power usage purpose and the response period, and can obtain various losses caused by the power supply interruption in the power outage area, thereby providing a basis for the subsequent setting of the regulation priority corresponding to the power outage area, wherein the power outage loss is the loss caused by the power outage in the power outage area, and the regulation priority is the priority of the power supply regulation corresponding to the power outage area. Furthermore, the regulation priority corresponding to the power outage area is set according to the amount of loss corresponding to the power outage loss. For example, the power outage losses corresponding to the M area and the N area in the power outage area are 100,000 yuan and 150,000 yuan respectively, then the priority of the M area is higher than that of the N area.

[0106] As an embodiment of the present invention, the power outage loss corresponding to the power outage area is calculated according to the power consumption purpose and the response period, including: collecting power consumption equipment corresponding to the power consumption purpose, scheduling power outage loss economic data of the power consumption equipment, calculating the unit power outage cost of the power consumption equipment according to the power outage loss economic data, measuring the equipment missing power corresponding to the power consumption equipment, determining the equipment power outage period corresponding to the power consumption equipment according to the response period, and combining the equipment missing power, the unit power outage cost and the equipment power outage period to calculate the power outage loss corresponding to the power outage area by the following formula:

[0107]

[0108] Among them, P represents the power outage loss corresponding to the power outage area, Q a represents the unit outage cost of the ath power-consuming device, T represents the power outage period of the device, and W a It represents the missing power of the a-th power consumer, a represents the serial number of the power consumer, and r represents the total number of the power consumers.

[0109] Among them, the electrical equipment is equipment that uses electricity for the purpose of electricity consumption, such as lighting fixtures, the power outage loss economic data is relevant data on economic losses caused by the inability of the electrical equipment to operate normally during the power outage, the unit power outage cost is the economic loss caused to the electrical equipment by the power outage per unit time, and the equipment missing power is the power that the electrical equipment cannot obtain during operation. Furthermore, the electrical equipment corresponding to the purpose of electricity consumption can be obtained through questionnaire surveys; the power outage loss economic data of the electrical equipment can be obtained through database scheduling of the corresponding energy company, and the energy company will count the relevant economic loss data during power outages; the unit power outage cost of the electrical equipment can be calculated by a direct calculation method, which is obtained by dividing the total power outage loss in the power outage loss economic data by the electricity consumption or the number of electrical equipment during the power outage to obtain the unit power outage cost; the measurement of the equipment missing power corresponding to the electrical equipment can be achieved through a power meter.

[0110] S4. In combination with the energy storage cycle, the charging benefit corresponding to the power supply and energy storage vehicle is calculated; in combination with the charging benefit and the response cycle, a scheduling sequence corresponding to the power supply and energy storage vehicle is set; in combination with the scheduling sequence and the regulation priority, the power supply and energy storage vehicle is controlled to supply energy to the power outage area.

[0111] The present invention calculates the charging benefit corresponding to the power supply and energy storage vehicle in combination with the energy storage cycle, and can obtain the economic benefit of the power supply and energy storage vehicle, thereby obtaining the corresponding scheduling cost of the power supply and energy storage vehicle, so as to facilitate the setting and processing of the subsequent scheduling sequence.

[0112] As an embodiment of the present invention, the energy storage cycle is combined to calculate the charging benefit corresponding to the power supply energy storage vehicle, including: querying the charging unit price corresponding to the power supply energy storage vehicle, combining the energy storage cycle and the charging unit price, calculating the charging expenditure corresponding to the power supply energy storage vehicle, calculating the required power corresponding to the power outage area, and extracting the power supply unit price of the power supply energy storage vehicle, and combining the charging expenditure, the required power and the power supply unit price to calculate the charging benefit corresponding to the power supply energy storage vehicle.

[0113] Among them, the charging unit price is the charging unit price corresponding to the charging of the power supply and energy storage vehicle, the charging expenditure is the economic expenditure corresponding to the power supply and energy storage vehicle, the required power is the power supply energy required in the power outage area, and the power supply unit price is the unit price of the power supply and energy storage vehicle when supplying power.

[0114] Furthermore, the charging unit price corresponding to the power supply and energy storage vehicle can be obtained by querying the charging price of the corresponding charging equipment; the product of the energy storage cycle and the charging unit price is calculated to obtain the charging expenditure corresponding to the power supply and energy storage vehicle; the calculation steps of the required power corresponding to the power outage area are: analyzing the power outage fault in the power outage area, and determining the repair time of the power outage fault, counting the equipment power of the power-consuming equipment in the power outage area, multiplying the equipment power by the repair time to obtain the required power; calculating the product of the required power and the power supply unit price to obtain the power supply income, and subtracting the charging expenditure from the power supply income to obtain the charging benefit corresponding to the power supply and energy storage vehicle.

[0115] The present invention sets a scheduling sequence corresponding to the power supply and energy storage vehicle by combining the charging benefit and the response cycle, so as to reduce the scheduling cost of the power supply and energy storage vehicle, and controls the power supply and energy storage vehicle to supply energy to the power outage area by combining the scheduling sequence and the regulation priority, so as to improve the power supply coordination control efficiency of the power outage area. Furthermore, the setting of the scheduling sequence corresponding to the power supply and energy storage vehicle can be implemented according to the charging benefit and the response cycle, and the power supply and energy storage vehicles are sorted according to the response time and the charging benefit to obtain a first sequence and a second sequence, and the first sequence and the second sequence are optimized by a genetic algorithm to obtain an optimal sequence, which is the scheduling sequence of the power supply and energy storage vehicle, wherein the genetic algorithm is an algorithm that simulates the natural evolution process and searches for the optimal solution through operations such as selection, crossover and mutation.

[0116] The present invention calculates the energy storage saturation corresponding to the power supply and energy storage vehicle, and can understand the energy storage situation corresponding to the power supply and energy storage vehicle, so as to facilitate the subsequent calculation of the energy storage cycle of the power supply and energy storage vehicle. The present invention calculates the optimal driving cycle corresponding to the power supply and energy storage vehicle by combining the parking position and the regional position, and can obtain the shortest time required for the power supply and energy storage vehicle to travel to the power outage area, which is helpful for the subsequent reasonable arrangement of the operation of the power supply and energy storage vehicle, so as to improve the dispatching efficiency of the power supply and energy storage vehicle. The present invention analyzes the power consumption purpose corresponding to the power user according to the power consumption behavior information, and can understand the corresponding power use of the power user, such as lighting. Or processing and manufacturing, so as to facilitate the calculation of subsequent power outage losses. The present invention calculates the corresponding charging benefit of the power supply and energy storage vehicle by combining the energy storage cycle, and can obtain the economic benefit of the power supply and energy storage vehicle, thereby obtaining the corresponding scheduling cost of the power supply and energy storage vehicle, so as to facilitate the setting and processing of the subsequent scheduling sequence. The present invention sets the corresponding scheduling sequence of the power supply and energy storage vehicle by combining the charging benefit and the response cycle, so as to reduce the scheduling cost of the power supply and energy storage vehicle, and controls the power supply and energy storage vehicle to supply energy to the power outage area by combining the scheduling sequence and the regulation priority, which can improve the power supply coordination control efficiency of the power outage area. Therefore, a method for coordinated control of emergency power supply for energy storage vehicles provided in an embodiment of the present invention can improve the efficiency of coordinated control of emergency power supply for energy storage vehicles.

[0117] like Figure 2 , which is a functional module diagram of an emergency power supply coordination control system for an energy storage vehicle provided by an embodiment of the present invention.

[0118] The energy storage vehicle emergency power supply coordination control system 100 described in the present invention can be installed in an electronic device. According to the functions to be implemented, the energy storage vehicle emergency power supply coordination control system 100 can include an energy storage cycle calculation module 101, a response cycle determination module 102, a regulation priority setting module 103 and an energy supply processing module 104. The module described in the present invention can also be referred to as a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0119] In this embodiment, the functions of each module / unit are as follows:

[0120] The energy storage cycle calculation module 101 is used to obtain the power outage area to be regulated, query the power supply energy storage vehicle in the power outage area, calculate the energy storage saturation corresponding to the power supply energy storage vehicle, and calculate the energy storage cycle corresponding to the power supply energy storage vehicle according to the energy storage saturation;

[0121] The response cycle determination module 102 is used to obtain the parking position and the regional position based on the geographical locations corresponding to the power supply and energy storage vehicle and the power outage area; calculate the optimal driving cycle corresponding to the power supply and energy storage vehicle in combination with the parking position and the regional position; and determine the response cycle corresponding to the power supply and energy storage vehicle in combination with the energy storage cycle and the optimal driving cycle;

[0122] The control priority setting module 103 is used to determine the power users in the power outage area, collect the power usage behavior information of the power users, analyze the power usage purpose corresponding to the power users according to the power usage behavior information, calculate the power outage loss corresponding to the power outage area according to the power usage purpose and the response period, and set the control priority corresponding to the power outage area according to the power outage loss;

[0123] The energy supply processing module 104 is used to calculate the charging efficiency of the power supply and energy storage vehicle in combination with the energy storage cycle, set the scheduling sequence corresponding to the power supply and energy storage vehicle in combination with the charging efficiency and the response cycle, and control the power supply and energy storage vehicle to supply energy to the power outage area in combination with the scheduling sequence and the regulation priority.

[0124] In detail, each module described in the energy storage vehicle emergency power supply coordination control system 100 described in the embodiment of the present application is used in the same manner as described above. Figure 1 The technical means are the same as the coordinated control method for emergency power supply of an energy storage vehicle described in, and can produce the same technical effects, so they will not be repeated here.

[0125] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A coordinated control method for emergency power supply of an energy storage vehicle, characterized in that: The method comprises: Obtain a power outage area to be regulated, query the power supply and energy storage vehicles in the power outage area, calculate the energy storage saturation corresponding to the power supply and energy storage vehicles, and calculate the energy storage period corresponding to the power supply and energy storage vehicles according to the energy storage saturation; Based on the geographical locations corresponding to the power supply and energy storage vehicle and the power outage area, a parking position and an area position are obtained; combining the parking position and the area position, an optimal driving cycle corresponding to the power supply and energy storage vehicle is calculated; combining the energy storage cycle and the optimal driving cycle, a response cycle corresponding to the power supply and energy storage vehicle is determined; Determine the power users in the power outage area, collect the power usage behavior information of the power users, analyze the power usage purpose corresponding to the power users according to the power usage behavior information, calculate the power outage loss corresponding to the power outage area according to the power usage purpose and the response period, and set the control priority corresponding to the power outage area according to the power outage loss; In combination with the energy storage cycle, the charging benefit corresponding to the power supply and energy storage vehicle is calculated; in combination with the charging benefit and the response cycle, a scheduling sequence corresponding to the power supply and energy storage vehicle is set; in combination with the scheduling sequence and the regulation priority, the power supply and energy storage vehicle is controlled to supply energy to the power outage area.

2. A coordinated control method for emergency power supply of an energy storage vehicle as claimed in claim 1, characterized in that: The calculating the energy storage saturation corresponding to the power supply energy storage vehicle includes: Identify the on-board battery used by the power supply and energy storage vehicle, and query the battery capacitance corresponding to the on-board battery; Detecting the leakage current of the vehicle battery during charging, and calculating the leakage rate of the vehicle battery based on the leakage current and the battery capacitance; Collecting historical charging data corresponding to the vehicle-mounted battery, and calculating the energy conversion rate corresponding to the vehicle-mounted battery according to the historical charging data; Calculate the battery energy storage saturation corresponding to the vehicle-mounted battery by combining the leakage rate and the energy conversion rate; The battery energy storage saturation is summed to obtain the energy storage saturation corresponding to the power supply and energy storage vehicle.

3. A coordinated control method for emergency power supply of an energy storage vehicle as claimed in claim 2, characterized in that: The calculating the battery energy storage saturation corresponding to the vehicle-mounted battery by combining the leakage rate and the energy conversion rate includes: Dispatching a battery charging log corresponding to the vehicle-mounted battery; Calculating the charging time of the vehicle battery according to the battery charging log; Querying the sequential battery capacity of the vehicle battery during charging; In combination with the charging time, the battery capacity, the leakage rate and the energy conversion rate, the battery energy storage saturation corresponding to the vehicle battery is calculated by the following formula: Among them, A represents the battery energy storage saturation corresponding to the vehicle battery, B t-1 represents the time series battery capacity corresponding to time t-1, φ represents the leakage rate, D t It represents the capacity corresponding to time t in the time series battery capacity, t represents the charging time series during the charging process, Δt represents the charging time, ω represents the energy conversion rate, and E represents the capacity extreme value corresponding to the vehicle battery.

4. A coordinated control method for emergency power supply of an energy storage vehicle as claimed in claim 1, characterized in that: The step of calculating the optimal driving cycle corresponding to the power supply and energy storage vehicle in combination with the parking position and the regional position includes: In combination with the parking position and the regional position, a driving path corresponding to the power supply and energy storage vehicle is planned in a preset regional map; Calculating the driving distance corresponding to the driving path, dispatching monitoring equipment in the driving path, and using the monitoring equipment to collect path traffic data corresponding to the driving path; Calculating the path congestion degree corresponding to the driving path according to the path traffic data; Filtering out an optimal driving path from the driving paths according to the path congestion degree and the driving distance; Obtaining performance parameters corresponding to the power supply and energy storage vehicle; The optimal driving cycle corresponding to the power supply and energy storage vehicle is calculated by combining the performance parameters, the optimal driving path, the path congestion degree and the driving distance.

5. A coordinated control method for emergency power supply of an energy storage vehicle as claimed in claim 4, characterized in that: The calculating the path congestion degree corresponding to the driving path according to the path traffic data includes: Identify the moving vehicles and their corresponding vehicle speeds in the path traffic data, and count the total number of vehicles corresponding to the moving vehicles; According to the vehicle speed, filter out congested vehicles among the traveling vehicles, and measure the duration and number of vehicles corresponding to the congested vehicles; Combined with the total number of vehicles, the number of vehicles and the duration, the path congestion degree corresponding to the driving path is calculated by the following formula: Among them, H represents the path congestion corresponding to the driving path, F1 represents the number of vehicles, G represents the duration, and F2 represents the total number of vehicles.

6. A coordinated control method for emergency power supply of an energy storage vehicle as claimed in claim 1, characterized in that: The analyzing the electricity usage purpose corresponding to the power user according to the electricity usage behavior information includes: Cleaning the electricity usage behavior information to obtain cleaning behavior information; Extracting the information representation corresponding to the cleaning behavior information, and calculating the feature importance corresponding to the information representation; According to the feature importance, filtering out key behavior information from the cleaning behavior information; Analyze the behavioral connotation of the key behavioral information; According to the behavioral connotation, the electricity usage purpose corresponding to the electricity user is analyzed.

7. A coordinated control method for emergency power supply of an energy storage vehicle as claimed in claim 6, characterized in that: The calculating the feature importance corresponding to the information representation includes: quantizing the information representation to obtain an information representation value; Calculating the occurrence probability corresponding to the information representation value; Calculating the representation entropy corresponding to the information representation according to the occurrence probability; Segmenting the information representation to obtain information sub-representations; Calculating the sub-representation entropy corresponding to the information sub-representation; The feature importance corresponding to the information representation is calculated by combining the representation entropy and the sub-representation entropy.

8. The method for coordinated control of emergency power supply of an energy storage vehicle according to claim 1, characterized in that: The calculating the power outage loss corresponding to the power outage area according to the power usage purpose and the response period includes: Collect the power-consuming equipment corresponding to the power-consuming purpose, and dispatch the economic data of power outage losses of the power-consuming equipment; Calculating the unit power outage cost of the electrical equipment according to the power outage loss economic data; Measuring the missing power of the device corresponding to the electric device, and determining the power outage period of the device corresponding to the electric device according to the response period; In combination with the missing power of the equipment, the unit power outage cost and the power outage period of the equipment, the power outage loss corresponding to the power outage area is calculated by the following formula: Among them, P represents the power outage loss corresponding to the power outage area, Q a represents the unit outage cost of the ath power-consuming device, T represents the power outage period of the device, and W a It represents the missing power of the a-th power consumer, a represents the serial number of the power consumer, and r represents the total number of the power consumers.

9. The method for coordinated control of emergency power supply of an energy storage vehicle according to claim 1, characterized in that: The calculating the charging benefit corresponding to the power supply and energy storage vehicle in combination with the energy storage cycle includes: Query the charging unit price corresponding to the power supply and energy storage vehicle; Calculate the energy charging expenditure corresponding to the power supply and energy storage vehicle based on the energy storage cycle and the energy charging unit price; Calculate the power demand corresponding to the power outage area, and extract the power supply unit price of the power supply and energy storage vehicle; The charging benefit corresponding to the power supply and energy storage vehicle is calculated based on the charging expenditure, the required power and the power supply unit price.

10. An emergency power supply coordination control system for an energy storage vehicle, characterized in that: The system comprises: An energy storage cycle calculation module is used to obtain a power outage area to be regulated, query the power supply and energy storage vehicles in the power outage area, calculate the energy storage saturation corresponding to the power supply and energy storage vehicles, and calculate the energy storage cycle corresponding to the power supply and energy storage vehicles according to the energy storage saturation; A response cycle determination module is used to obtain a parking position and a regional position based on the geographical locations corresponding to the power supply and energy storage vehicle and the power outage area; calculate the optimal driving cycle corresponding to the power supply and energy storage vehicle in combination with the parking position and the regional position; and determine the response cycle corresponding to the power supply and energy storage vehicle in combination with the energy storage cycle and the optimal driving cycle; a control priority setting module, used to determine the power users in the power outage area, collect the power usage behavior information of the power users, analyze the power usage purpose corresponding to the power users according to the power usage behavior information, calculate the power outage loss corresponding to the power outage area according to the power usage purpose and the response period, and set the control priority corresponding to the power outage area according to the power outage loss; The energy supply processing module is used to calculate the charging efficiency of the power supply and energy storage vehicle in combination with the energy storage cycle, set the scheduling sequence corresponding to the power supply and energy storage vehicle in combination with the charging efficiency and the response cycle, and control the power supply and energy storage vehicle to supply energy to the power outage area in combination with the scheduling sequence and the regulation priority.

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