Distributed energy emergency dispatching method and system based on smart grid

Abstract

The application relates to the technical field of artificial intelligence, and relates to a distributed energy emergency dispatching method and system based on a smart power grid, which comprises the following steps: according to an edge power diagnosis information set and an energy planning information set, performing operation and maintenance state recovery degree visualization operation on a pre-constructed regional basic network graph to obtain a basic recovery view; using an emergency energy dispatching platform, performing color feature extraction operation on the basic recovery view to obtain a regional color feature set; performing energy regulation operation on the regional color feature set based on a to-be-started facility set to obtain a first energy dispatching scheme; executing an emergency energy cluster according to the first energy dispatching scheme to obtain an updated basic recovery view; performing energy regulation operation on the updated basic recovery view based on power sharing to obtain a second energy dispatching scheme, and performing power dispatching on the emergency energy cluster according to the second energy dispatching scheme. The application can improve power grid repair efficiency and reduce economic losses caused by power outages.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of artificial intelligence, and particularly relates to a distributed energy emergency dispatching method and system based on a smart power grid. BACKGROUND

[0002] When a natural disaster occurs, a large area is powered off due to physical interruption of a power transmission line, thereby causing economic loss of equipment and threatening safety of people's lives and property.

[0003] At this time, distributed energy becomes the main power for maintaining the region. However, the coverage of distributed emergency energy is small, and thus an island mode is formed in the entire power-off region. A large area of the disaster area is still in a power interruption state. In the unconnected area outside each island mode in the power-off region, it is difficult to obtain the power grid integrity information, which greatly increases the difficulty of power repair, and thus prolongs the maintenance time of the entire power-off region.

[0004] Nowadays, with the increase of industrial density and the improvement of people's living standards, the traditional solution can only make part of the region normally powered, and the rest of the region powered off. The economic loss caused by such a solution is getting bigger and bigger, and it is better to solve the power supply problem of the entire region as soon as possible. SUMMARY

[0005] The present application provides a distributed energy emergency dispatching method based on a smart power grid, which mainly aims to improve the power grid repair efficiency on the basis of ensuring basic power supply of residents and reduce economic loss caused by power failure in the region.

[0006] To achieve the above-mentioned purpose, the present application provides a distributed energy emergency dispatching method based on a smart power grid, comprising:

[0007] An emergency energy dispatching platform is pre-constructed, self-diagnosis information from a pre-constructed first facility cluster is received, edge power diagnosis information set is obtained, and energy planning information from each emergency energy in a pre-constructed emergency energy cluster is received, and energy planning information set is obtained;

[0008] According to the edge power diagnosis information set and the energy planning information set, a visual operation of operation and maintenance state recovery degree is performed on a pre-constructed regional basic network diagram, and a basic recovery view is obtained, wherein the basic recovery view includes a layer coverage mark based on a regional power recovery level, a color mark based on a fault region, and a color mark based on a storage energy level;

[0009] The pre-trained emergency coverage management model in the emergency energy scheduling platform is used for color feature extraction operation on the basic recovery view to obtain a regional color feature set, wherein the emergency coverage management model comprises a feature extraction network, a necessary facility coverage network and an energy scheduling network.

[0010] The necessary facility coverage network is used for energy collection operation on the regional color feature set based on a set of facilities to be started to obtain a first energy scheduling scheme.

[0011] The emergency energy cluster is executed according to the first energy scheduling scheme, and an updated basic recovery view is obtained based on the executed emergency energy cluster.

[0012] The energy scheduling network is used for energy collection operation on the updated basic recovery view based on power sharing to obtain a second energy scheduling scheme, and the emergency energy cluster is power scheduled according to the second energy scheduling scheme.

[0013] Optionally, before the pre-constructed emergency energy scheduling platform is used, the method further comprises:

[0014] When it is monitored that power failure occurs in a preset target area, a pre-constructed emergency energy cluster is started;

[0015] The emergency energy cluster is used to query, according to a pre-constructed priority supply list, priority supply facilities corresponding to each emergency energy in the emergency energy cluster to obtain a first facility cluster.

[0016] The emergency energy cluster is used to supply power to the first facility cluster, wherein the first facility cluster comprises an emergency energy scheduling platform and a basic operation and maintenance facility cluster.

[0017] When the basic operation and maintenance facility cluster is successfully powered, each basic operation and maintenance facility in the basic operation and maintenance facility cluster is subjected to a running state self-checking operation to obtain each self-diagnosis information, and each self-diagnosis information is independently sent to the emergency energy scheduling platform.

[0018] Optionally, when it is monitored that power failure occurs in a preset target area, the pre-constructed emergency energy cluster is started, which comprises:

[0019] A pre-constructed power sensor cluster is used to monitor power in a preset power area to obtain a target area.

[0020] An emergency energy in the target area is obtained to obtain a first emergency energy cluster, and an emergency energy outside the target area and within a preset distance is obtained to obtain a second emergency energy cluster.

[0021] Aggregate the first emergency energy cluster and the second emergency energy cluster to obtain an emergency energy cluster, and start the emergency energy cluster.

[0022] Optionally, the operation and maintenance state recovery degree visualization operation is performed on the pre-constructed regional basic network diagram according to the edge power diagnosis information set and the energy planning information set to obtain a basic recovery view, including:

[0023] The energy planning information set is used to query a pre-constructed energy color classification table to obtain an energy color corresponding to each emergency energy in the emergency energy cluster, and the energy color corresponding to each emergency energy is filled into a position of each emergency energy in the regional basic network diagram to obtain an energy display layer, wherein the regional basic network diagram includes distribution information of emergency energy positions, facility positions, power grid routes and traffic routes, and the facility positions include positions of each first-level facility and second-level facility.

[0024] The energy source set and the line diagnosis result set are obtained by obtaining corresponding energy sources and line diagnosis results in each edge power diagnosis information from the edge power diagnosis information set.

[0025] According to the energy source set, a preset highlighted connection line is used to connect each emergency energy position in the emergency energy cluster to a position of each first-level facility in the first-level facility cluster in the regional basic network diagram to obtain a power supply relationship layer.

[0026] According to the line diagnosis result set, a fault route of each first-level facility is obtained, and a preset highlighted fault line is used to mark the fault route of each first-level facility in the regional basic network diagram to obtain a fault display layer.

[0027] The energy display layer, the power supply relationship layer and the fault display layer are fused to obtain a basic recovery view.

[0028] Optionally, the energy gathering operation based on the set of facilities to be started is performed on the set of regional color features by using the necessary facility coverage network to obtain a first energy scheduling scheme, including:

[0029] The set of facilities to be started is obtained by performing a necessary to-be-started infrastructure identification operation on the set of regional color features by using the necessary facility coverage network.

[0030] An energy reserve distribution identification operation is performed on the set of regional color features to obtain an energy distribution map.

[0031] According to the energy distribution map, energy gathering operation is performed on the set of facilities to be started based on energy storage level and distance length weighting to obtain a first energy scheduling scheme.

[0032] Optionally, the first energy scheduling scheme is used to execute the emergency energy cluster, and an updated basic recovery view is obtained based on the executed emergency energy cluster, including:

[0033] According to the first energy scheduling scheme, power scheduling is performed on the emergency energy cluster to obtain a secondary facility cluster and an updated energy planning information set.

[0034] The self-diagnosis information of the secondary facility cluster is received to obtain an updated edge power diagnosis information set.

[0035] According to the updated energy planning information set and the updated edge power diagnosis information set, an updated basic recovery view is obtained.

[0036] Optionally, the energy scheduling network is used to perform energy gathering operation on the updated basic recovery view based on power sharing to obtain a second energy scheduling scheme, including:

[0037] The energy scheduling network is used to perform power demand scheduling identification operation on the updated basic recovery view based on power sharing of the regional power recovery level to obtain a demand power distribution map.

[0038] According to the demand power distribution map and the updated energy planning information set, energy gathering operation is performed to obtain a second energy scheduling scheme.

[0039] Optionally, after the updated basic recovery view is obtained based on the executed emergency energy cluster, the method further includes:

[0040] The updated basic recovery view is subjected to graph feature extraction operation to obtain an image feature set.

[0041] The image feature set is subjected to fault area identification operation to obtain a fault area set.

[0042] The fault area set is sent to a pre-constructed maintenance authority.

[0043] To achieve the above purpose, the application further provides a distributed energy emergency scheduling system based on a smart grid, including:

[0044] An information acquisition module is used to receive self-diagnosis information from a pre-constructed primary facility cluster using a pre-constructed emergency energy scheduling platform to obtain an edge power diagnosis information set, and receive energy planning information of each emergency energy in a pre-constructed emergency energy cluster to obtain an energy planning information set.

[0045] an information visualization module configured to perform operation and maintenance state recovery degree visualization on a pre-constructed regional basic network diagram according to the edge power diagnosis information set and the energy planning information set, to obtain a basic recovery view, wherein the basic recovery view comprises layer coverage marks based on regional power recovery levels, color marks based on fault regions, and color marks based on energy storage levels;

[0046] a necessary facility energy scheduling module configured to perform color feature extraction on the basic recovery view by using an emergency coverage management model pre-trained in the emergency energy scheduling platform, to obtain a regional color feature set, wherein the emergency coverage management model comprises a feature extraction network, a necessary facility coverage network, and an energy scheduling network, to perform energy collection based on a set of facilities to be started on the regional color feature set by using the necessary facility coverage network, to obtain a first energy scheduling scheme, and to execute the emergency energy cluster according to the first energy scheduling scheme, and to obtain an updated basic recovery view based on the executed emergency energy cluster;

[0047] a power sharing energy scheduling module configured to perform energy collection based on power sharing on the updated basic recovery view by using the energy scheduling network, to obtain a second energy scheduling scheme, and to perform power scheduling on the emergency energy cluster according to the second energy scheduling scheme.

[0048] Optionally, before the pre-constructed emergency energy scheduling platform is used, the method further comprises:

[0049] when a power outage in a preset target region is monitored, starting a pre-constructed emergency energy cluster;

[0050] querying, by using the emergency energy cluster, priority supply facilities corresponding to each emergency energy in the emergency energy cluster according to a pre-constructed priority supply list, to obtain a first facility cluster;

[0051] supplying power to the first facility cluster by using the emergency energy cluster, wherein the first facility cluster comprises an emergency energy scheduling platform and a basic operation and maintenance facility cluster;

[0052] when the basic operation and maintenance facility cluster is successfully powered, performing a running state self-check operation on each basic operation and maintenance facility in the basic operation and maintenance facility cluster, to obtain each self-diagnosis information, and independently sending each self-diagnosis information to the emergency energy scheduling platform.

[0053] To solve the above problems, the present application also provides an electronic device, which comprises:

[0054] a memory configured to store at least one instruction;

[0055] The processor executes instructions stored in the memory to implement the smart grid-based distributed energy emergency dispatching method described above.

[0056] To solve the above problems, the application further provides a computer readable storage medium, wherein at least one instruction is stored in the computer readable storage medium, and the at least one instruction is executed by a processor in an electronic device to implement the smart grid-based distributed energy emergency dispatching method described above.

[0057] To solve the problems described in the background art, the application first unifies the management of various distributed emergency energy. In the regional power failure scenario, each emergency energy first supplies power to the primary facilities in the region. Then, unlike the traditional power supply strategy, the excess power in the emergency energy of the application is not supplied to the local residential power supply site, but is dispatched to the primary facilities in the remaining areas without emergency energy. This makes the base station network and road command in the entire power failure region recover, so that the outside door of the power failure region can more quickly and comprehensively understand the fault state of the road, power and communication in the power failure region, thereby improving the repair speed of the power failure region. Then, the application performs a second power dispatching. According to the remaining power of the emergency energy in the entire power failure region, the energy of the secondary facilities such as water and heating supply in the entire power failure region is dispatched to ensure the basic life power of the entire power failure region. In addition, if the basic power dispatching in the entire power failure region is completed and each emergency energy still has excess power, the excess power can be supplied to the local area to improve the local residential power level. Therefore, the application can improve the power grid repair efficiency on the basis of ensuring the basic power of the residents, and reduce the economic loss caused by power failure in the region. BRIEF DESCRIPTION OF DRAWINGS

[0058] Figure 1 The flowchart of the smart grid-based distributed energy emergency dispatching method provided by an embodiment of the application is shown.

[0059] Figure 2 The functional module diagram of the smart grid-based distributed energy emergency dispatching system provided by an embodiment of the application is shown.

[0060] Figure 3 The structural diagram of the electronic device for implementing the smart grid-based distributed energy emergency dispatching method provided by an embodiment of the application is shown.

[0061] REFERENCE SIGNS:

[0062] 1, electronic device; 10, processor; 11, memory; 12, bus.

[0063] The implementation, functional features and advantages of the application will be further described with reference to the embodiments and the accompanying drawings. Detailed Implementation

[0064] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0065] This application provides a method for emergency dispatch of distributed energy resources based on a smart grid. The executing entity of this method includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application: a server, a terminal, etc. In other words, the method 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.

[0066] Reference Figure 1 The diagram shown is a flowchart illustrating a distributed energy emergency dispatch method based on a smart grid according to an embodiment of the present invention. In this embodiment, the distributed energy emergency dispatch method based on a smart grid includes:

[0067] S1. Using the pre-built emergency energy dispatch platform, receive self-diagnostic information from the pre-built primary facility cluster to obtain a set of edge power diagnostic information, and receive energy planning information from each emergency energy source in the pre-built emergency energy cluster to obtain a set of energy planning information.

[0068] The emergency energy dispatch platform refers to a platform used to dispatch the power transmission direction of various emergency energy sources within the power outage area when a power outage occurs.

[0069] The primary facility cluster refers to a collection of primary facilities, which are facilities on a pre-configured list in various emergency energy sources. These facilities are mainly essential to people's lives, such as hospitals, base stations, and traffic control hubs.

[0070] The self-diagnostic information includes energy source information and information on whether the facility's related routes (including circuits, transportation, and communication routes) are damaged. The edge power diagnostic information set refers to the collection of self-diagnostic information transmitted by each primary facility through edge computing.

[0071] The emergency energy cluster refers to the collection of various emergency energy sources.

[0072] The energy planning information refers to the magnitude of the remaining electricity in each emergency energy source. The energy planning information set refers to the collection of energy planning information for each emergency energy source.

[0073] In detail, before the pre-constructed emergency energy dispatching platform is utilized, the method further comprises:

[0074] When it is monitored that power failure occurs in the preset target area, the pre-constructed emergency energy cluster is started;

[0075] The pre-constructed emergency energy cluster is utilized to query the priority supply facilities corresponding to each emergency energy in the emergency energy cluster according to a pre-constructed priority supply list, and a first facility cluster is obtained;

[0076] The first facility cluster is powered by the emergency energy cluster, wherein the first facility cluster comprises an emergency energy dispatching platform and a basic operation and maintenance facility cluster;

[0077] When the basic operation and maintenance facility cluster is successfully powered, a running state self-check operation is performed on each basic operation and maintenance facility in the basic operation and maintenance facility cluster, each self-diagnosis information is obtained, and each self-diagnosis information is independently sent to the emergency energy dispatching platform.

[0078] The target area is an area that is prone to power failure after being disturbed by natural disasters, for example, a certain provincial area when a typhoon occurs.

[0079] The priority supply list refers to a list of necessary basic facilities in a target area. The priority supply facility refers to a necessary basic facility in the region, for example, a hospital. The first facility cluster refers to a collection of priority supply facilities corresponding to each emergency energy.

[0080] The running state self-check operation refers to identifying whether the road, communication, circuit, etc. from the facility to other facilities are faulty.

[0081] The independent sending refers to the behavior of sending the self-diagnosis information immediately when the self-diagnosis of each basic operation and maintenance facility is completed.

[0082] Specifically, when power failure occurs in a certain area, the emergency energy dispatching platform closest to the power failure area is started first, wherein the emergency energy dispatching platform can be in the power failure area or outside the power failure area. When the emergency energy dispatching platform is in the power failure area, the nearby emergency energy should preferentially supply power to the emergency energy dispatching platform to ensure that the emergency energy dispatching platform is in a working state.

[0083] Then, each emergency power source can query the list configured in the respective priority supply list to supply power to the respective nearby first-level facilities to obtain a first-level facility cluster in a working state. Each first-level facility in the first-level facility cluster can identify the energy source of the respective facility, and then identify whether the road, communication, circuit, etc. leading to other facilities of the facility itself is in failure, thereby generating self-diagnosis information of the facility itself and sending the self-diagnosis information to the emergency power source dispatching platform.

[0084] Specifically, in the embodiment of the present application, the self-diagnosis information of each started first-level facility is received and integrated into the edge power diagnosis information set.

[0085] Further, the present application also needs to evaluate the remaining power of each started emergency power source, and therefore, the energy planning information of each emergency power source in the pre-constructed emergency power source cluster needs to be received to obtain an energy planning information set.

[0086] Specifically, in the embodiment of the present application, the energy planning information of each emergency power source is usually identified by days, for example, the energy planning information of emergency power source A is 5 days, which means that emergency power source A can stably supply power for 5 days under the condition of supplying power to the current facility set.

[0087] It can be understood that when the emergency power source needs to additionally supply power to other facilities, the number of days in the energy planning information will decrease. The minimum number of days of each emergency power source is related to the repair speed of the circuit in the region. When the repair plan of the circuit in the region is arranged in the nearest date, for example, the repair is completed tomorrow, the emergency power source can only last for one day. Therefore, at this time, the emergency power source can send power to more devices to reduce the power supply pressure of other emergency power sources.

[0088] In detail, in the embodiment of the present application, the starting of the pre-constructed emergency power source cluster when the power failure of the preset target region is monitored comprises:

[0089] monitoring the power of the preset power region by using the pre-constructed power sensor cluster to obtain a target region;

[0090] obtaining the emergency power sources in the target region to obtain a first emergency power source cluster, and obtaining the emergency power sources within a preset distance outside the target region to obtain a second emergency power source cluster;

[0091] integrating the first emergency power source cluster and the second emergency power source cluster to obtain an emergency power source cluster, and starting the emergency power source cluster.

[0092] The power sensor cluster refers to a set of sensors in each detection line that detect whether there is power.

[0093] The power monitoring refers to a process of measuring whether there is power in each line through sensors. The target area refers to an area covered by each sensor that does not detect power.

[0094] The first emergency energy cluster refers to a set of emergency energy in the target area.

[0095] The second emergency energy cluster refers to a set of emergency energy outside the target area and within 50 kilometers.

[0096] Specifically, in the embodiment of the present application, the emergency energy cluster is not only a set of each emergency energy in the target area, but also includes emergency energy near the target area, such as within a range less than 50 kilometers from the target area.

[0097] Specifically, in the embodiment of the present application, the first emergency energy cluster in the target area will automatically start at the moment of power failure, while the second emergency energy cluster outside the target area needs to be started with the intervention of the emergency energy scheduling platform, to relieve the power pressure of the first emergency energy cluster.

[0098] S2, according to the edge power diagnosis information set and the energy planning information set, the pre-constructed regional basic network diagram is subjected to operation and maintenance state recovery degree visualization operation, and a basic recovery view is obtained, wherein the basic recovery view includes layer coverage marks based on regional power recovery level, color marks based on fault area and color marks based on energy storage level.

[0099] The regional basic network diagram refers to a distribution map of power grid, communication network and traffic network in the target area, which contains location information of each emergency energy, base station, hospital and traffic command hub.

[0100] The operation and maintenance state recovery degree visualization operation refers to a process of visualizing power supply in each region and coverage area of each facility (such as base station and traffic command hub), so as to show the recovery degree of the operation state of the entire infrastructure in the target area.

[0101] The basic recovery view refers to a regional basic network diagram after visual operation according to the edge power diagnosis information set and the energy planning information set.

[0102] The layer covering mark based on the regional power recovery level refers to different color marks corresponding to different power recovery levels. For example, only the area powered by the first-level facility cluster can be marked as a 0-level recovery level and marked by gray. The area powered by water and heating supply equipment (second-level facilities) in the target area is marked as a 1-level recovery level and marked by light yellow. In the case of higher level power supply to the area, such as time-limited power supply, it can be marked as a 2-level recovery level and marked by light green.

[0103] The color mark based on the fault area refers to a red line covering the area where power, communication or transportation fails.

[0104] The color mark based on the energy level refers to a mark representing different energy levels by different colors. For example, according to the brightness of blue, the high and low of the energy level can be represented. The deeper the blue color, the higher the energy level.

[0105] In detail, in the embodiment of the present application, the operation and maintenance state recovery degree visualization operation of the pre-constructed regional basic network graph according to the edge power diagnosis information set and the energy planning information set obtains a basic recovery view, which includes:

[0106] The energy planning information set is used to query the pre-constructed energy color classification table to obtain the energy color corresponding to each emergency energy in the emergency energy cluster, and the energy color corresponding to each emergency energy is filled into the position of each emergency energy in the regional basic network graph to obtain an energy display layer. The regional basic network graph contains the distribution information of emergency energy positions, facility positions, power grid routes and traffic routes. The facility positions include the positions of each first-level facility and second-level facility.

[0107] From the edge power diagnosis information set, the energy source and line diagnosis result corresponding to each edge power diagnosis information are obtained to obtain an energy source set and a line diagnosis result set.

[0108] According to the energy source set, a preset highlighted connection line is used to connect the position of each emergency energy in the emergency energy cluster to the position of each first-level facility in the first-level facility cluster in the regional basic network graph to obtain a power supply relationship layer.

[0109] According to the line diagnosis result set, the fault route of each first-level facility is obtained, and a preset highlighted fault line is used to mark the fault route of each first-level facility in the regional basic network graph to obtain a fault display layer.

[0110] The energy display layer, the power supply relationship layer and the fault display layer are fused to obtain a basic recovery view.

[0111] The emergency energy position and the facility position are marked by special symbols, such as circles or triangles, in the regional basic network diagram.

[0112] The energy color classification table refers to a color marking system for each energy level, such as the above-mentioned blue lightness system, which can divide blue into five lightnesses, representing Hex #5D8AA8, representing RGB 93, 138, 168 blue, Hex #00308F, representing RGB 0, 48, 143 color, etc. The energy color refers to one of the five lightnesses of blue, representing an energy level, such as a color mark representing energy planning information for 5-7 days.

[0113] The energy display layer refers to the regional basic network diagram after marking the energy color to each emergency energy position.

[0114] The energy source refers to the facility information of the emergency energy that provides power for the facility.

[0115] The line diagnosis result refers to the information diagnosis content of whether a break occurs in the self-diagnosis information.

[0116] The highlighted connection line refers to a highlighted yellow line used for marking. The power supply relationship layer refers to the regional basic network diagram after connecting the power supply of the emergency energy and the first-level facility by the highlighted yellow line.

[0117] The fault route refers to a fault result in the line diagnosis result set, indicating that there is a fault between facility A and facility B, causing the communication, circuit or traffic between the facilities to be interrupted.

[0118] The highlighted fault line is configured as a preset highlighted red line. The facility fault display layer refers to the regional basic network diagram after marking the fault route by the highlighted red line.

[0119] The layer fusion refers to the process of simultaneously displaying the contents in each layer at the same scale.

[0120] In the embodiment of the application, the construction process of the above-mentioned three layers is completed in parallel.

[0121] Specifically, in the embodiment of the present application, first, the regional basic network graph stored in the cloud is downloaded, then, the energy planning information set is used to query the pre-constructed energy color classification table to obtain the energy color corresponding to each emergency energy in the emergency energy cluster, and then the emergency energy positions of each emergency energy can be marked to obtain an energy display layer. Then, the corresponding energy source and line diagnosis result in the edge power diagnosis information is used to mark the fault route with a red highlight line to obtain a fault display layer. The power supply relationship between the emergency energy and the primary facilities is marked with a yellow highlight line to obtain a power supply relationship layer. Finally, each layer is fused by using a drawing tool such as PS to obtain the fault display layer.

[0122] S3, color feature extraction operation is performed on the basic recovery view by using the pre-trained emergency coverage management model in the emergency energy dispatching platform to obtain a regional color feature set, wherein the emergency coverage management model comprises a feature extraction network, a necessary facility coverage network and an energy dispatching network.

[0123] The emergency coverage management model refers to a model that can automatically generate a dispatching scheme to enable the target area to be fully covered at a 0-level or 1-level recovery level, comprising a feature extraction network, a necessary facility coverage network and an energy dispatching network. The feature extraction network is used for feature extraction operation. The necessary facility coverage network is used to generate an energy dispatching scheme that can enable the target area to be fully covered at a 0-level recovery level. The energy dispatching network is used to generate an energy dispatching scheme that can enable the target area to be fully covered at a 1-level recovery level.

[0124] The color feature extraction operation is a feature extraction process of convolution, pooling and flattening operation on the color information corresponding to each part of the basic recovery view. The regional color feature set refers to the color feature extraction result of the basic recovery view.

[0125] Specifically, in the embodiment of the present application, the feature extraction network is constructed by using a traditional CNN network to realize color feature extraction operation and obtain a regional color feature set. The convolution and pooling processes involved in the feature extraction process are relatively simple and are not described in detail.

[0126] S4, energy gathering operation based on the set of facilities to be started is performed on the regional color feature set by using the necessary facility coverage network to obtain a first energy dispatching scheme.

[0127] The energy gathering operation based on the set of facilities to be started refers to a power dispatching scheme generation process that expects to turn on each primary facility outside the coverage range of each emergency energy.

[0128] In detail, in the embodiment of the present application, the energy gathering operation based on the set of to-be-started facilities is performed on the set of regional color features by using the necessary facility coverage network, to obtain a first energy scheduling scheme, which comprises:

[0129] The set of to-be-started facilities is obtained by performing necessary to-be-started infrastructure identification operation on the set of regional color features by using the necessary facility coverage network.

[0130] The energy distribution map is obtained by performing energy reserve distribution identification operation on the set of regional color features.

[0131] The first energy scheduling scheme is obtained by performing energy gathering operation based on energy storage level and distance length weighting on the set of to-be-started facilities according to the energy distribution map.

[0132] The necessary to-be-started infrastructure identification operation refers to the process of searching for necessary infrastructure in the region outside the coverage range of the emergency energy in the target region, for example, selecting a base station with moderate coverage range from multiple operators' base stations, selecting all hospitals, and selecting traffic monitoring hubs corresponding to main roads.

[0133] The set of to-be-started facilities refers to the set of first-level facilities that have not been started but must be started in the target region.

[0134] The energy reserve distribution identification operation refers to the process of extracting the position distribution and residual power information of each emergency energy. The energy distribution map refers to the energy reserve distribution identification result of the set of regional color features.

[0135] The energy gathering operation based on energy storage level and distance length weighting refers to the operation of performing power scheduling by using the weighted score obtained by weighting calculation according to the weights of energy storage level and distance length as an index for selecting emergency energy for power transportation, for example, the greater the energy storage level, the greater the weighted score, and the higher the selection probability. The closer the distance to the to-be-started first-level facility, the greater the weighted score, and the higher the selection probability.

[0136] Specifically, in the embodiment of the present application, a sample database can be constructed in advance by professional technical personnel marking samples, and then the necessary facility coverage network is trained by using the sample database, so that the necessary facility coverage network learns the rules of selecting first-level facilities, and a trained necessary facility coverage network is obtained. Then, the trained necessary facility coverage network is calculated by forward network calculation, and the set of to-be-started facilities and the energy distribution map are obtained in turn, and finally the first energy scheduling scheme is output.

[0137] In the embodiment of the present application, through the first energy scheduling scheme, the necessary communication base stations and traffic monitoring hubs can be started, and the circuit interruption information, road interruption information and communication interruption information in the target area can be fully mastered. The positioning accuracy of the target to be repaired is greatly improved, and the repair efficiency is improved. Therefore, the main goal of the present application is to sacrifice the power consumption level within each emergency energy coverage to improve the mastery of each information in the entire power outage target area, thereby reducing the power outage duration.

[0138] S5, executing the emergency energy cluster according to the first energy scheduling scheme, and obtaining an updated basic recovery view based on the executed emergency energy cluster.

[0139] In the embodiment of the present application, after executing the first energy scheduling scheme, some primary facilities will be turned on, so the energy planning information of some emergency energy will be reduced, which will cause the data in the basic recovery view to change, and thus an updated basic recovery view is obtained.

[0140] In detail, in the embodiment of the present application, the emergency energy cluster is executed according to the first energy scheduling scheme, and an updated basic recovery view is obtained based on the executed emergency energy cluster, which includes:

[0141] According to the first energy scheduling scheme, the emergency energy cluster is power scheduled to obtain a secondary facility cluster and an updated energy planning information set;

[0142] Receiving the self-diagnosis information fed back by the secondary facility cluster to obtain an updated edge power diagnosis information set;

[0143] According to the updated energy planning information set and the updated edge power diagnosis information set, an updated basic recovery view is obtained.

[0144] The power scheduling refers to the process of power output of the emergency energy cluster according to the first energy scheduling scheme.

[0145] When the first energy scheduling scheme is executed, the power full coverage of the 0-level recovery level is realized in the target area, and at this time each emergency energy still has sufficient power. Therefore, higher level power coverage can be carried out, for example, the water and heating supply facilities in the entire target area are powered to realize the 1-level recovery level. The present application configures the list of necessary facilities in the 1-level recovery level as the secondary facility cluster.

[0146] The updated energy planning information set refers to the set of energy planning information of each emergency energy after the output power changes.

[0147] The updated edge power diagnosis information set refers to a set of self-diagnosis information fed back after each secondary facility is successfully powered on.

[0148] Specifically, in the embodiment of the present application, the acquisition scheme of the secondary facility cluster and the primary facility cluster is the same, except that the list of each recovery level configuration is different.

[0149] Specifically, in the embodiment of the present application, the dynamic updating function based on the energy planning information set and the edge power diagnosis information set is embedded in the basic recovery view. When the energy planning information set and the edge power diagnosis information set are updated, the updated edge power diagnosis information set and the updated energy planning information set are obtained, and then the basic recovery view is automatically updated to obtain an updated basic recovery view.

[0150] S6, using the energy scheduling network, performing power allocation-based energy scheduling operation on the updated basic recovery view to obtain a second energy scheduling scheme, and performing power scheduling on the emergency energy cluster according to the second energy scheduling scheme.

[0151] The power allocation-based energy scheduling refers to a power scheduling process for fully covering each primary and secondary facility by distributed emergency energy, for ensuring normal operation of water, gas, and heating basic life facilities in each region. The second energy scheduling scheme refers to an energy scheduling result for the updated basic recovery view.

[0152] In detail, in the embodiment of the present application, the use of the energy scheduling network to perform power allocation-based energy scheduling operation on the updated basic recovery view to obtain a second energy scheduling scheme comprises:

[0153] using the energy scheduling network to perform power demand scheduling identification operation on the updated basic recovery view to obtain a demand power distribution map;

[0154] performing energy scheduling operation according to the demand power distribution map and the updated energy planning information set to obtain a second energy scheduling scheme.

[0155] The power demand scheduling identification operation for allocating the regional power recovery level refers to a process of counting the power required for power supply of each secondary facility outside the coverage range of each emergency energy in the target region. The demand power distribution map refers to power demand distribution information for power supply of each secondary facility outside the coverage range of each emergency energy in the target region.

[0156] Specifically, in the embodiment of the present application, a new neural network is constructed, and power demand scheduling identification operation can be realized through simple training. This is a common function of neural networks, and will not be described in detail.

[0157] Further, in the embodiment of the present application, the energy gathering operation is performed according to the demand power distribution map and the updated energy planning information set, and the energy gathering method in S4 is the same, except that the energy storage of each emergency energy source has changed, the type and location of each secondary facility have changed, and finally a second energy scheduling scheme is obtained.

[0158] Through the second energy scheduling scheme, the facilities of water, heating, and gas in the target area can be fully covered, and the basic living needs of the people in the target area are guaranteed.

[0159] In detail, in the embodiment of the present application, after the updated basic recovery view is obtained based on the executed emergency energy cluster, the method further comprises:

[0160] performing a graph feature extraction operation on the updated basic recovery view to obtain a set of image features;

[0161] performing a fault area identification operation on the set of image features to obtain a set of fault areas;

[0162] sending the set of fault areas to a pre-constructed maintenance authority.

[0163] The graph feature extraction operation refers to the process of feature extraction on the image. The set of image features refers to the graph feature extraction result of the updated basic recovery view.

[0164] The fault area identification refers to the process of identifying the routes covered by the red highlighted lines in the set of image features. The set of fault areas refers to the set of routes covered by the identified red highlighted lines.

[0165] The maintenance authority refers to a pre-constructed database for storing faults in roads, power, and communication in the target area. Maintenance personnel can quickly locate the maintenance target according to the database of the maintenance authority, thereby improving the maintenance efficiency, reducing the overall power outage time in the target area, and reducing the economic losses caused by power outages in the target area.

[0166] The present application is to solve the problems described in the background art, the present application first unifies the management of each distributed emergency energy, in the regional power failure scene, each emergency energy will first power the first-class facilities in the region, then, unlike the traditional power supply strategy, the excess power in the emergency energy of the present application will not be supplied to the local residential electricity and other places, but will be dispatched to the first-class facilities in the remaining areas without emergency energy, so that the base station network and road command in the entire power failure area are restored, so that the outside of the power failure area can more quickly and comprehensively understand the fault state of the road, power and communication in the power failure area, thereby improving the repair speed of the power failure area; then the present application carries out the second power dispatching, according to the remaining power of the emergency energy in the entire power failure area, the energy of the second-class facilities in the entire power failure area, such as water and heating supply, is dispatched, to ensure the basic life power of people in the entire power failure area, in addition, if the basic power dispatching in the entire power failure area is completed, and each emergency energy still has excess power, the local residents can be supplied to improve the local residential electricity level. Therefore, the present application can improve the power grid repair efficiency on the basis of ensuring the basic power of residents, and reduce the economic loss caused by power failure in the region.

[0167] As Figure 2 shown, it is a functional module diagram of the distributed energy emergency dispatching system based on smart grid provided by an embodiment of the present application.

[0168] The distributed energy emergency dispatching system based on smart grid 100 can be installed in an electronic device. According to the functions realized, the distributed energy emergency dispatching system based on smart grid 100 can include an information acquisition module 101, an information visualization module 102, a necessary facility energy dispatching module 103 and a power sharing energy dispatching module 104. The modules of the present application can also be referred to as units, which refer 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.

[0169] The information acquisition module 101 is used to receive self-diagnosis information from a pre-constructed first-class facility cluster by using a pre-constructed emergency energy dispatching platform, obtain an edge power diagnosis information set, and receive energy planning information from each emergency energy in the pre-constructed emergency energy cluster, obtain an energy planning information set;

[0170] The information visualization module 102 is used to perform operation and maintenance state recovery degree visualization operation on the pre-constructed regional basic network diagram according to the edge power diagnosis information set and the energy planning information set, and obtain a basic recovery view, wherein the basic recovery view includes a layer coverage mark based on the regional power recovery level, a color mark based on the fault area and a color mark based on the energy storage level;

[0171] The necessary facility energy scheduling module 103 is configured to perform color feature extraction on the basic recovery view by using a pre-trained emergency coverage management model in the emergency energy scheduling platform to obtain a regional color feature set, wherein the emergency coverage management model comprises a feature extraction network, a necessary facility coverage network and an energy scheduling network, and the regional color feature set is subjected to energy collection based on a set of facilities to be started by using the necessary facility coverage network to obtain a first energy scheduling scheme, and the emergency energy cluster is executed according to the first energy scheduling scheme, and an updated basic recovery view is obtained based on the executed emergency energy cluster;

[0172] The power sharing energy scheduling module 104 is configured to perform energy collection based on power sharing on the updated basic recovery view by using the energy scheduling network to obtain a second energy scheduling scheme, and perform power scheduling on the emergency energy cluster according to the second energy scheduling scheme.

[0173] In detail, the modules in the distributed energy emergency scheduling system based on a smart grid 100 in the embodiment of the present application use the same technical means as the distributed energy emergency scheduling method based on a smart grid in the embodiment of the present application described above when in use, and can produce the same technical effects, which will not be described here. Figure 1 In detail, the modules in the distributed energy emergency scheduling system based on a smart grid 100 in the embodiment of the present application use the same technical means as the distributed energy emergency scheduling method based on a smart grid in the embodiment of the present application described above when in use, and can produce the same technical effects, which will not be described here.

[0174] As shown in Figure 3 Fig. 1 is a structural schematic diagram of an electronic device for implementing the distributed energy emergency scheduling method based on a smart grid according to an embodiment of the present application.

[0175] The electronic device 1 can include a processor 10, a memory 11 and a bus 12, and can further include a computer program stored in the memory 11 and executable on the processor 10, such as a distributed energy emergency scheduling method based on a smart grid program.

[0176] The memory 11 includes at least one type of readable storage medium, such as a flash memory, a mobile hard disk, a multimedia card, a card-type memory (e.g., an SD or DX memory, etc.), a magnetic memory, a disk, an optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of the electronic device 1, such as a mobile hard disk of the electronic device 1. In other embodiments, the memory 11 can also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 1. Further, the memory 11 includes both an internal storage unit and an external storage device of the electronic device 1. The memory 11 can be used to store application software and various data installed on the electronic device 1, such as the code of the distributed energy emergency dispatching method program based on a smart grid, and can also be used to temporarily store data that has been output or will be output.

[0177] The processor 10 can be composed of an integrated circuit in some embodiments, such as a single packaged integrated circuit or a plurality of packaged integrated circuits with the same or different functions, including one or more combinations of a central processing unit (CPU), a microprocessor, a digital processing chip, a graphics processor, and various control chips, etc. The processor 10 is the control unit of the electronic device, which connects various components of the entire electronic device through various interfaces and lines, executes programs or modules stored in the memory 11 (such as the distributed energy emergency dispatching method program based on a smart grid, etc.), and calls data stored in the memory 11 to perform various functions and process data of the electronic device 1.

[0178] The bus 12 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 can be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize the connection and communication between the memory 11 and at least one processor 10, etc.

[0179] Figure 3 Only the electronic device with components is shown, and those skilled in the art can understand that, Figure 3The illustrated structure does not constitute a limitation on the electronic device 1, and can include fewer or more components than illustrated, or combine certain components, or arrange different components.

[0180] For example, although not shown, the electronic device 1 can also include a power source (such as a battery) to power the various components. Preferably, the power source can be logically connected to the at least one processor 10 through a power management device, so that the power management device can implement functions such as charge management, discharge management, and power consumption management. The power source can also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and any other components. The electronic device 1 can also include various sensors, Bluetooth modules, Wi-Fi modules, and the like, which are not described here.

[0181] Further, the electronic device 1 can also include a network interface, which can optionally include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), and is typically used to establish a communication connection between the electronic device 1 and other electronic devices.

[0182] Optionally, the electronic device 1 can also include a user interface, which can be a display (Display), an input unit (such as a keyboard (Keyboard)), and optionally a standard wired interface, a wireless interface. Optionally, in some embodiments, the display can be an LED display, a liquid crystal display, a touch liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, etc. The display can also be appropriately referred to as a display screen or a display unit, and is used to display information processed in the electronic device 1 and to display a visualized user interface.

[0183] The smart grid-based distributed energy emergency dispatch method program stored in the memory 11 in the electronic device 1 is a combination of multiple instructions, which, when executed in the processor 10, can achieve:

[0184] Using a pre-built emergency energy dispatch platform, receiving self-diagnosis information from a pre-built first facility cluster to obtain an edge power diagnosis information set, and receiving energy planning information from each emergency energy in a pre-built emergency energy cluster to obtain an energy planning information set;

[0185] According to the edge power diagnosis information set and the energy planning information set, operation and maintenance state recovery degree visualization operation is performed on a pre-constructed regional basic network diagram to obtain a basic recovery view, wherein the basic recovery view includes a layer coverage mark based on a regional power recovery level, a color mark based on a fault region, and a color mark based on a storage energy level.

[0186] Color feature extraction operation is performed on the basic recovery view by using an emergency coverage management model pre-trained in the emergency energy scheduling platform to obtain a regional color feature set, wherein the emergency coverage management model includes a feature extraction network, a necessary facility coverage network, and an energy scheduling network.

[0187] Energy gathering operation based on a to-be-started facility set is performed on the regional color feature set by using the necessary facility coverage network to obtain a first energy scheduling scheme.

[0188] The emergency energy cluster is executed according to the first energy scheduling scheme, and an updated basic recovery view is obtained based on the executed emergency energy cluster.

[0189] Energy gathering operation based on power apportioning is performed on the updated basic recovery view by using the energy scheduling network to obtain a second energy scheduling scheme, and power scheduling is performed on the emergency energy cluster according to the second energy scheduling scheme.

[0190] Specifically, the specific implementation method of the processor 10 on the above instructions can refer to Figures 1 to 3 The description of related steps in the corresponding embodiments will not be repeated here.

[0191] Further, the modules / units integrated in the electronic device 1 are implemented in the form of software function units and sold or used as independent products, which can be stored in a computer readable storage medium. The computer readable storage medium can be volatile or non-volatile. For example, the computer readable medium can include any entity or device capable of carrying the computer program code, a recording medium, a U disk, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM, Read-Only Memory).

[0192] The application also provides a computer readable storage medium, which stores a computer program, and the computer program can realize the following when executed by a processor of an electronic device:

[0193] By using a pre-constructed emergency energy scheduling platform, self-diagnosis information from a pre-constructed first facility cluster is received to obtain an edge power diagnosis information set, and energy planning information from each emergency energy in a pre-constructed emergency energy cluster is received to obtain an energy planning information set.

[0194] According to the edge power diagnosis information set and the energy planning information set, operation and maintenance state recovery degree visualization operation is performed on a pre-constructed regional basic network diagram to obtain a basic recovery view, wherein the basic recovery view includes a layer coverage mark based on a regional power recovery level, a color mark based on a fault region, and a color mark based on a storage energy level;

[0195] Color feature extraction operation is performed on the basic recovery view by using an emergency coverage management model pre-trained in the emergency energy dispatch platform to obtain a regional color feature set, wherein the emergency coverage management model includes a feature extraction network, a necessary facility coverage network, and an energy dispatch network;

[0196] Energy gathering operation based on a set of facilities to be started is performed on the regional color feature set by using the necessary facility coverage network to obtain a first energy dispatch scheme;

[0197] The emergency energy cluster is executed according to the first energy dispatch scheme, and an updated basic recovery view is obtained based on the executed emergency energy cluster;

[0198] Energy gathering operation based on power apportioning is performed on the updated basic recovery view by using the energy dispatch network to obtain a second energy dispatch scheme, and power dispatch is performed on the emergency energy cluster according to the second energy dispatch scheme.

[0199] In several embodiments provided in the present application, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only illustrative, and actual implementation can have another division manner.

[0200] The modules described as separate components can or can not be physically separated, and the components shown as modules can or can not be physical units, i.e., they can be located in one place or distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment according to actual needs.

[0201] In addition, each functional module in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of hardware plus software functional modules.

[0202] It is obvious for those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, and the present application can be implemented in other specific forms without departing from the spirit or essential characteristics of the present application.

[0203] Finally, it should be noted that the above examples are merely intended to illustrate the technical solutions of the present application and not to limit the present application. Although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present application.

Claims

1. A method for emergency dispatch of distributed energy resources based on smart grids, characterized in that, The method includes: When a power outage is detected in the preset target area, the pre-built emergency energy cluster is activated; Using the emergency energy cluster, according to the pre-built priority supply list, query the priority supply facilities corresponding to each emergency energy in the emergency energy cluster to obtain the primary facility cluster; The emergency energy cluster is used to supply power to the primary facility cluster, wherein the primary facility cluster includes an emergency energy dispatch platform and a basic operation and maintenance facility cluster. When the basic operation and maintenance facility cluster is successfully powered, a self-check operation is performed on the operation status of each basic operation and maintenance facility in the basic operation and maintenance facility cluster to obtain the self-diagnostic information of each facility, and the self-diagnostic information of each facility is sent independently to the emergency energy dispatch platform. Using a pre-built emergency energy dispatch platform, the system receives self-diagnostic information from the pre-built primary facility cluster to obtain a set of edge power diagnostic information, and receives energy planning information from each emergency energy source in the pre-built emergency energy cluster to obtain a set of energy planning information. Based on the edge power diagnostic information set and energy planning information set, a visualization operation on the operation and maintenance status recovery level of the pre-constructed regional basic network map is performed to obtain a basic recovery view. The basic recovery view includes layer coverage markers based on the regional power recovery level, color markers based on the fault area, and color markers based on the energy storage level. Using the pre-trained emergency coverage management model in the emergency energy dispatch platform, color feature extraction is performed on the basic recovery view to obtain a set of regional color features. The emergency coverage management model includes a feature extraction network, a necessary facility coverage network, and an energy dispatch network. Using the necessary infrastructure coverage network, energy allocation operations based on the set of facilities to be activated are performed on the set of regional color features to obtain a first energy scheduling scheme. The emergency energy cluster is executed according to the first energy dispatch scheme, and an updated basic recovery view is obtained based on the executed emergency energy cluster; Using the energy dispatch network, an energy allocation operation based on power sharing is performed on the updated basic recovery view to obtain a second energy dispatch scheme, and power dispatch is performed on the emergency energy cluster according to the second energy dispatch scheme.

2. The distributed energy emergency dispatch method based on smart grid as described in claim 1, characterized in that, When a power outage is detected in a preset target area, the pre-built emergency energy cluster is activated, including: By utilizing a pre-built cluster of power sensors, power monitoring is performed on a pre-defined power area to obtain the target area; Acquire emergency energy in the target area to obtain a first emergency energy cluster, and acquire emergency energy outside the target area but within a preset distance to obtain a second emergency energy cluster; The first emergency energy cluster and the second emergency energy cluster are combined to obtain an emergency energy cluster, and the emergency energy cluster is activated.

3. The distributed energy emergency dispatch method based on smart grid as described in claim 2, characterized in that, The step of visualizing the operational status recovery level of the pre-constructed regional basic network map based on the edge power diagnostic information set and energy planning information set to obtain a basic recovery view includes: Using the energy planning information set, a pre-built energy color classification table is queried to obtain the energy color corresponding to each emergency energy in the emergency energy cluster. The energy color corresponding to each emergency energy is then filled into the location of each emergency energy in the regional basic network diagram to obtain an energy display layer. The regional basic network diagram contains the distribution information of emergency energy locations, facility locations, power grid routes, and transportation routes. The location of each facility includes the location of each primary facility and secondary facility. From the edge power diagnostic information set, obtain the corresponding energy source and line diagnostic results from each edge power diagnostic information to obtain the energy source set and the line diagnostic result set; Based on the set of energy sources, using preset highlighted connecting lines, the locations of each emergency energy source in the emergency energy cluster are connected to the locations of each primary facility in the primary facility cluster in the regional basic network diagram, thus obtaining a power supply relationship layer. Based on the set of line diagnostic results, the fault routes of each primary facility are obtained, and the fault routes of each primary facility are marked in the basic network diagram of the region using preset highlighted fault lines to obtain a fault display layer. The energy display layer, power supply relationship layer, and fault display layer are merged to obtain a basic recovery view.

4. The distributed energy emergency dispatch method based on smart grid as described in claim 3, characterized in that, The first energy scheduling scheme is obtained by utilizing the necessary infrastructure coverage network to perform energy allocation operations on the regional color feature set based on the set of facilities to be activated, resulting in a first energy scheduling scheme, including: Using the necessary infrastructure coverage network, the necessary infrastructure to be activated is identified from the set of color features of the region to obtain the set of facilities to be activated. An energy reserve distribution identification operation is performed on the set of color features in the region to obtain an energy distribution map; Based on the energy distribution map, an energy allocation operation based on energy storage level and distance length is performed on the set of facilities to be started to obtain a first energy dispatch scheme.

5. The distributed energy emergency dispatch method based on smart grid as described in claim 4, characterized in that, The step of executing the emergency energy cluster according to the first energy dispatch scheme and obtaining an updated basic recovery view based on the executed emergency energy cluster includes: According to the first energy dispatching scheme, power dispatching is carried out on the emergency energy cluster to obtain the secondary facility cluster and updated energy planning information set; Receive the self-diagnostic information fed back by the secondary facility cluster to obtain an updated edge power diagnostic information set; Based on the updated energy planning information set and the updated edge power diagnostic information set, an updated basic recovery view is obtained.

6. The distributed energy emergency dispatch method based on smart grid as described in claim 5, characterized in that, The step of utilizing the energy dispatch network to perform energy allocation operations based on power sharing on the updated basic recovery view to obtain a second energy dispatch scheme includes: Using the energy dispatch network, a power demand dispatch identification operation is performed on the updated basic recovery view to distribute the regional power recovery level, resulting in a power demand distribution map; Based on the power demand distribution map and the updated energy planning information set, energy allocation operations are performed to obtain a second energy dispatch scheme.

7. The distributed energy emergency dispatch method based on smart grid as described in claim 6, characterized in that, After obtaining the updated basic recovery view based on the executed emergency energy cluster, the method further includes: Perform graph feature extraction on the updated base recovery view to obtain an image feature set; Perform a fault region identification operation on the image feature set to obtain a fault region set; The set of fault areas is sent to the pre-built maintenance management department.

8. A distributed energy emergency dispatch system based on a smart grid, used to execute the distributed energy emergency dispatch method based on a smart grid as described in claim 1, characterized in that, The system includes: The information acquisition module is used to receive self-diagnostic information from the pre-built primary facility cluster using the pre-built emergency energy dispatch platform, to obtain a set of edge power diagnostic information, and to receive energy planning information from each emergency energy source in the pre-built emergency energy cluster, to obtain a set of energy planning information. The information visualization module is used to perform a visualization operation on the operation and maintenance status recovery degree of the pre-constructed regional basic network map based on the edge power diagnostic information set and energy planning information set, so as to obtain a basic recovery view. The basic recovery view includes layer coverage markers based on the regional power recovery level, color markers based on the fault area, and color markers based on the energy storage level. The necessary facility energy dispatch module is used to perform color feature extraction on the basic recovery view using the pre-trained emergency coverage management model in the emergency energy dispatch platform to obtain a regional color feature set. The emergency coverage management model includes a feature extraction network, a necessary facility coverage network, and an energy dispatch network. The module also uses the necessary facility coverage network to perform energy allocation operations on the regional color feature set based on a set of facilities to be activated to obtain a first energy dispatch scheme. The module executes the emergency energy cluster according to the first energy dispatch scheme and obtains an updated basic recovery view based on the executed emergency energy cluster. The power-sharing energy dispatch module is used to perform power-sharing-based energy allocation operations on the updated basic recovery view using the energy dispatch network to obtain a second energy dispatch scheme, and to perform power dispatch on the emergency energy cluster according to the second energy dispatch scheme.

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