Power grid fault processing scoring method and device based on adaptive weight prime

Abstract

The invention discloses a power grid fault processing scoring method and device based on adaptive weight primitives, and the method comprises the steps: responding to a fault event, and determining fault equipment based on the real-time parameters of a power distribution network fault recovery decision auxiliary model; according to the fault equipment, analyzing a fault range in a first directed acyclic topological graph based on a power distribution network fault recovery decision auxiliary model, and determining a fault accident type, the fault accident type including a single-point fault and a multi-point fault; based on the type and the parameter of the affected equipment in the fault range and the fault accident type, determining a matched quick response plan and a weight prime combination scheme; and based on the weight prime combination scheme, performing scoring operation on each quick response plan. According to the method, multiple sets of personalized power supply recovery schemes can be provided, the system intelligence degree is improved, and automatic fault processing is more efficient and reliable.

Description

Technical Field

[0001] The present invention relates to the field of electric power technology, and in particular to a power grid fault processing scoring method and device based on adaptive weight elements. Background Art

[0002] As more and more electrical equipment is used in social life, society's requirements for grid stability are getting higher and higher. Accordingly, grid operators need to optimize the grid to avoid grid failures as much as possible, and repair grid failures in the shortest possible time when they occur. When a failure occurs, quickly and to the greatest extent possible to restore power supply, shorten or even eliminate the user's perception of power outage time, and improve the reliability of the distribution network have become one of the important tasks of grid construction and maintenance.

[0003] Traditional fault handling methods require technicians to analyze and make decisions based on the distribution pattern of the power grid and the grid fault warnings, which requires a high level of experience from the technicians and also prolongs the repair time of the grid fault. The automatic fault handling methods developed based on this usually adopt a general mode and cannot adaptively recommend fault handling solutions based on the affected equipment types. On the one hand, it is difficult to provide multiple sets of personalized power supply restoration solutions, and the degree of intelligence is relatively lacking. On the other hand, it will also lead to the inability to select the best solution according to the actual situation when handling faults, resulting in a lack of system reliability and possibly affecting the user experience. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention proposes a power grid fault processing scoring method based on adaptive weight elements, comprising:

[0005] Construct a distribution network fault recovery decision-making support model that includes real-time parameters of all topological elements;

[0006] Based on the decision support model, a first directed acyclic topology graph is established;

[0007] In response to a fault event, determining a faulty device based on real-time parameters of a distribution network fault recovery decision support model;

[0008] According to the faulty device, based on the distribution network fault recovery decision-making auxiliary model, the fault range is analyzed in the first directed acyclic topology graph to determine the type of fault accident, wherein the type of fault accident includes single-point fault and multi-point fault;

[0009] Execute a corresponding rapid response plan based on the fault accident type.

[0010] In one embodiment, the above-mentioned construction of a distribution network fault recovery decision-making auxiliary model including real-time parameters of all topological elements includes:

[0011] A basic topology model is constructed according to the topological relationship of the topological elements of the entire circuit, wherein the topological elements of the entire circuit include the main transformer of the main network, busbar, outgoing line switch, distribution network feeder switch, distribution transformer and switch, and all the topological elements of the entire circuit are divided into two element types: point and edge according to their opening and closing attributes;

[0012] Based on the basic topology model, the real-time parameters of each of the full-circuit topology elements are introduced to construct a decision-making auxiliary model, wherein the real-time parameters include current, voltage, load and switch status;

[0013] Establish the association operation between GIS map model and decision support model.

[0014] In one embodiment, the above-mentioned establishing a first directed acyclic topology graph based on the decision support model includes:

[0015] Based on the decision support model, the XML file of the GIS map model is read, and after converting the XML file into a document object, the device elements are obtained from it, and the attribute characteristics of the device elements are defined and processed through the programming language;

[0016] Grouping, matching primitives and laying out the device elements to construct an initial directed acyclic topology graph, wherein the initial directed acyclic topology graph includes node devices and edge devices;

[0017] A predetermined transfer line is marked in the initial directed acyclic topology graph to generate a first directed acyclic topology graph, wherein the predetermined transfer line is used to pre-connect node devices of different branches.

[0018] In one of the embodiments, the above-mentioned analysis of the fault range in the first directed acyclic topology graph based on the fault recovery decision support model according to the faulty device determines the type of fault accident, and the type of fault accident includes single point fault and multi-point fault, including:

[0019] If the faulty device is a single device, determine the accident type as a single point failure;

[0020] If the faulty device is multiple devices, obtain the fault area boundary associated with the faulty device;

[0021] Obtain the scheduled transfer lines associated with the boundaries of each fault area, and analyze the topological relationship between the scheduled transfer lines and the faulty equipment and affected equipment;

[0022] Based on the analysis result, determine whether the accident type is a single point failure or a multiple point failure.

[0023] In one embodiment, the above-mentioned executing a corresponding rapid response plan based on the fault accident type includes:

[0024] Based on single point failure, introduce backup power supply or adjust power load;

[0025] Perform load transfer operations based on multiple point failures;

[0026] Based on a single point failure or multiple point failures, one or more associated scheduled transfer lines are enabled.

[0027] In one embodiment, after executing the corresponding rapid response plan based on the fault accident type, the following steps are performed:

[0028] Determining a third directed acyclic topology graph based on the enabled one or more predetermined transfer lines of the association;

[0029] The faulty device and the isolated area are marked in the third directed acyclic topology graph, and a target directed acyclic topology graph is generated.

[0030] The present invention also provides a power grid fault processing scoring device based on adaptive weight elements, comprising:

[0031] A construction module for constructing a distribution network fault recovery decision-making auxiliary model including real-time parameters of all topological elements;

[0032] A generating module, used for establishing a first directed acyclic topological graph based on the decision support model;

[0033] A first determination module is used to determine the faulty device based on the real-time parameters of the distribution network fault recovery decision-making auxiliary model in response to the fault event;

[0034] A second determination module is used to analyze the fault range in the first directed acyclic topology graph according to the faulty device and based on the distribution network fault recovery decision-making auxiliary model to determine the type of fault accident, wherein the type of fault accident includes a single point fault and a multi-point fault;

[0035] An execution module is used to execute a corresponding rapid response plan based on the fault accident type.

[0036] The present invention also provides a computer device, a grid fault processing scoring system based on adaptive weight elements, the grid fault processing scoring system based on adaptive weight elements comprises: a distribution network fault processing device of a decision support model;

[0037] The distribution network fault processing device of the decision support model is determined by a method of a power grid fault processing scoring device based on adaptive weight elements as shown in any one of the above items.

[0038] The present invention also provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned power grid fault processing scoring method based on adaptive weight elements when executing the computer program.

[0039] The present invention also provides a computer storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned power grid fault processing scoring method based on adaptive weight elements is implemented.

[0040] The embodiment of the present invention determines the faulty device based on the real-time parameters of the distribution network fault recovery decision-making auxiliary model in response to the fault event; according to the faulty device, the fault range is analyzed in the first directed acyclic topology graph based on the distribution network fault recovery decision-making auxiliary model to determine the type of fault accident. This embodiment at least divides the fault accident types into single-point faults and multi-point faults, and establishes a rapid response plan in advance. When an accident occurs, a rapid response plan and a weight element combination scheme that match the fault time are determined according to the type, parameters and fault accident type of the affected equipment. And based on the weight element combination scheme, a scoring operation is performed for each rapid response plan, so that the auxiliary management personnel can select the rapid response plan according to the score. The embodiment of the present invention can provide multiple sets of personalized power supply recovery schemes, which improves the intelligence of the system. On the other hand, the reliability of different power supply recovery schemes can be intuitively fed back through scoring, thereby improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0042] Figure 1 It is a flow chart of a power grid fault processing scoring method based on adaptive weight elements according to a first embodiment of the present invention;

[0043] Figure 2 is a detailed flow chart of S11 of the first embodiment of the present invention;

[0044] Figure 3 is a detailed flow chart of S12 of the first embodiment of the present invention;

[0045] Figure 4 It is an example diagram of constructing a directed acyclic topology graph according to a terminal list in the first embodiment of the present invention;

[0046] Figure 5 A detailed flow chart of S14 of the first embodiment of the present invention;

[0047] Figure 6 A detailed flow chart of S143 of the first embodiment of the present invention;

[0048] Figure 7 A detailed flow chart of S15 of the first embodiment of the present invention;

[0049] Figure 8 It is a structural block diagram of a power grid fault processing scoring device based on adaptive weight elements according to a second embodiment of the present invention;

[0050] Fig. 9 This is a schematic diagram of the internal structure of a computer according to another embodiment of the present invention. DETAILED DESCRIPTION

[0051] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments, and the well-known modules, units and their connections, links, communications or operations are not shown or described in detail. In addition, the described features, architectures or functions can be combined in any way in one or more embodiments. It should be understood by those skilled in the art that the various embodiments described below are only for illustration and not for limiting the scope of protection of the present invention. It can also be easily understood that the modules or units or processing methods in the various embodiments described herein and shown in the drawings can be combined and designed according to various different configurations. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0052] First embodiment:

[0053] Please refer to Figures 1 to 6 As shown, the embodiment of the present invention discloses a scoring method for power grid fault processing based on adaptive weight elements, including:

[0054] S11, construct a distribution network fault recovery decision-making auxiliary model that includes real-time parameters of all topological elements.

[0055] As a specific solution but not limitation, this step S11 is a pre-execution for building a distribution network fault recovery decision support model. Figure 2 As shown, this step S11 also includes S111-S113, wherein:

[0056] S111, constructing a basic topology model according to the topological relationship of the topological elements of the entire line, wherein the topological elements of the entire line include a main transformer of the main network, a busbar, an outgoing switch, a feeder switch of the distribution network, a distribution transformer and a switch, and dividing all the topological elements of the entire line into two element types, namely, points and edges, according to their opening and closing attributes;

[0057] S112, based on the basic topology model, introducing the real-time parameters of each of the full-circuit topology elements to construct a decision-making auxiliary model, wherein the real-time parameters include current, voltage, load and switch status;

[0058] The above-mentioned real-time parameters in this embodiment can be remote sensing data. Taking a distribution network containing one million devices, a real-time parameter collection frequency of once every 5 minutes, and a data size of each real-time parameter of 50 bytes as an example, the amount of telemetry data of the distribution network in one day is approximately 1000000*(24*60 / 5)*50B=14.4GB, and the amount of data of the distribution network in one month is 432GB.

[0059] S113, establishing the association operation between the GIS map model and the decision support model;

[0060] As a specific implementation of this embodiment but not limiting, this step S113 also includes S1131-S1133, wherein:

[0061] S1131, based on the management area, export the full distribution line model data of the GIS model.

[0062] By exporting the full amount of distribution line diagram data within the jurisdiction to the decision-making support model, the decision-making support model completes data initialization and further forms a complete power grid architecture.

[0063] S1132, the decision-making support model is based on the full distribution line diagram data, loads svg image technology through a web browser, uses JavaScript programming language to expand svg graphics, and adds animation effects to multi-line nodes and path nodes, thereby initializing and forming a visualization architecture of the power grid in the management area.

[0064] This step S1132 is used to achieve the technical purpose of intuitively feedback the energized state of the line through a power grid visualization architecture with animation effects.

[0065] At the same time, this step extends the GIS model SVG graphics, adds hotspots to the graphics elements of the GIS model network topology model, such as use, polyline and path nodes, and registers click events and right-click menus to the hotspots, so that the SVG graphics can be interactive and realize mouse control based on the Web browser page. At the same time, this step also includes collecting device information (metadata) in the SVG graphics, which is used to retrieve the location of the device in the current SVG graphics.

[0066] S1133, in response to user events, controlling the power grid visualization architecture to perform corresponding feedback operations, the user events including left-click / double-click, right-click, scroll wheel and drag operations, the feedback operations including calling up a menu, confirming, canceling, zooming in and out, and translating / rotating graphics.

[0067] Based on S1132, the decision support model in step S1133 can perform corresponding feedback operations in response to user events. For example, the user's right-click menu operation can process the parameters of the maintenance rehearsal function; when the user enters the device ID or device name and initiates a search, the visualization core adjusts the viewport based on the device information to display the device and highlights the device.

[0068] S12: Establish a first directed acyclic topology graph based on the decision support model.

[0069] Please refer to Figure 3 As shown, this step S12 also includes S121-S123, wherein:

[0070] S121, reading the XML file of the GIS map model based on the decision support model, converting the XML file into a document object, obtaining device elements therefrom, and defining and processing the attribute characteristics of the device elements through a programming language;

[0071] The class structure of the GIS model terminal includes at least the following five attributes: the dimension identifier id of the terminal list, the terminal identifier mrid, the serial number sequenceNumber that identifies the left and right sides of the device, the main device type conductingEquipment, and the mounted node connectivityNode. It also supports various protocols and custom protocols. For example, the conductingEquipment #SWITCH_00010102020012 represents a switch with a gisid of 00010102020012.

[0072] In this step, after the file processing unit extracts the terminal list object of the equipment element, it obtains two Terminal objects according to the main device type and the mounted node, which are defined as: nodeMap and equipmentMap.

[0073] S122, grouping, matching primitives and layout the device elements to construct an initial directed acyclic topology graph, wherein the initial directed acyclic topology graph includes node devices and edge devices.

[0074] For outgoing line switches and tie switches, a directed acyclic topology graph is constructed with the left and right sides as the starting positions. The layout includes storing the terminals and connection points of the GIS model as the edges of the directed acyclic topology graph in the order of the devices. Since each switch has a left and right side, 2N directed acyclic topology graphs will eventually be formed. This can solve the problem of uncertain power supply direction and the uncertainty of the front and back ends of the tie switch.

[0075] This step S122 can also further process the terminal list object, and its implementation function example is as follows: Figure 4 As shown: starting from the A equipment element, use gisid to obtain all its Terminals (the number is 1 or 2) from the equipmentMap, exclude Ta1 in the starting direction, use Ta2's connectivityNode, and obtain Tb1 and Tc1 mounted on the Node from the nodeMap. Since Tb1 contains the gisid of the B equipment element and Tc1 contains the gisid of the C equipment element, you only need to recursively perform the above steps and merge the results to complete the topological analysis of the entire graph.

[0076] When performing topological analysis, the device elements are recorded as vertices of the directed acyclic topological graph, for example, the device element of A is recorded as vertext_A, the device element of B is recorded as vertext_B, and the device element of C is recorded as vertex_C. The devices are sequentially stored in the edges of the directed acyclic topological graph, for example, Edge_AB represents an edge analyzed from device A to device B, and Edge_AC represents an edge analyzed from device A to device C. After the analysis is completed, the relationship between all device elements in the entire graph, such as the ancestor-descendant relationship, can be obtained.

[0077] On the other hand, the dispatcher customizes the vertex model of the directed acyclic topology graph and uses the device type and GISID to calculate the vertex hash value, which helps to quickly locate the device in various directed acyclic topology graphs.

[0078] S123, marking a predetermined transfer line in the initial directed acyclic topology graph to generate a first directed acyclic topology graph, wherein the predetermined transfer line is used to pre-connect node devices of different branches.

[0079] In this embodiment, the predetermined transfer lines are backup lines for node devices of different branches pre-connected in the initial directed acyclic topology graph, which are usually arranged in advance before an accident occurs. Usually, the predetermined transfer lines are arranged correspondingly for equipment with greater accident risks. The first directed acyclic topology graph aims to increase the stability and flexibility of the distribution network when an accident occurs.

[0080] S13, in response to the fault event, determining the faulty device based on the real-time parameters of the distribution network fault recovery decision support model.

[0081] The distribution network fault recovery decision-making auxiliary model monitors the real-time parameters of regional equipment in real time, generates fault events when the real-time parameters are abnormal, and quickly locks the faulty equipment to minimize the impact of power outages and speed up the recovery process.

[0082] S14, according to the faulty device, based on the distribution network fault recovery decision support model, analyzing the fault range in the first directed acyclic topology graph, and determining the fault accident type, wherein the fault accident type includes a single point fault and a multi-point fault.

[0083] In this embodiment, the distribution network fault recovery decision-making assistance model determines the type of fault accident, and based on whether the fault accident type is a single-point fault or a multi-point fault, combined with the rapid response plan corresponding to the predetermined transfer line, when some equipment with a higher accident risk fails, the rapid response plan can be used to efficiently complete fault handling and quickly restore power supply, thereby shortening or even eliminating the power outage time perception on the user side.

[0084] Please refer to Figure 5 As shown, this step S14 also includes S141-S144, wherein:

[0085] S141: If the faulty device is a single device, determine that the accident type is a single point failure.

[0086] When the faulty device is identified as a single device or line, it usually means that a single point of failure has occurred in the system. A single point of failure is a situation in which the failure of a single line or device in a distribution network system causes the entire system or part of the system to not function properly. In a power system, a single point of failure may include a tripped circuit breaker, a damaged transformer, or a shorted cable.

[0087] S142: If the faulty device is multiple devices, obtain the fault area boundary associated with the faulty device.

[0088] By analyzing the relationship between faulty devices and the network topology, the outermost circuit breaker or switch is determined as the boundary of the fault area. And the effectiveness of the determined boundary is verified by using a fault recovery decision-making auxiliary model based on real-time data. It should be noted that in this step S142, when the fault area boundaries of multiple devices intersect in the first directed acyclic topology graph, the accident type can be judged as a single point fault to simplify the difficulty of fault handling and ensure the efficiency of fault handling. If the fault area boundaries of multiple faulty devices do not intersect in the first directed acyclic topology graph, execute steps S143-S144.

[0089] S143, obtaining a predetermined transfer line associated with the boundary of each fault area, and analyzing the topological relationship between the predetermined transfer line and the faulty device and the affected device.

[0090] As a specific solution and not a limitation, please refer to Figure 6 As shown, this step S143 also includes S1431-S1432, wherein:

[0091] S1431, generating a second directed acyclic topology graph based on the fault isolation simulation of the faulty device and the affected device and after integrating one or more predetermined transfer lines;

[0092] In this step S1431, different fault isolation situations are simulated by adopting different predetermined transfer lines and combinations thereof, and different second directed acyclic topology graphs are generated based on the first directed acyclic topology graph for subsequent analysis.

[0093] S1432: Determine in the second directed acyclic topology graph whether fault area boundaries of multiple faulty devices intersect.

[0094] In this step S1432, it is determined whether the fault area boundaries of multiple faulty devices intersect in different second directed acyclic topology graphs. If so, it is determined that the current fault event has the conditions to be converted into a single point fault. If not, it is determined that the accident type corresponding to the current fault event is a multi-point fault.

[0095] S144: Based on the analysis result, determine whether the accident type is a single point failure or a multi-point failure.

[0096] In this step S144, the common scheme of the parameter of interest and the affected equipment can be used to determine whether the accident type is a single point failure or a multiple point failure. If the accident type is a multiple point failure, the multiple point failure can be treated as multiple single point failures.

[0097] S15, determining a matching rapid response plan and a weight factor combination scheme based on the type and parameters of the affected equipment within the fault range and the type of the fault accident.

[0098] The quick response plan of this embodiment corresponds to the predetermined transfer line, which is convenient for efficient fault handling, rapid power restoration, and shortening or even eliminating the power outage time perceived by the user. It should be noted that the quick response plan of this embodiment includes a pre-plan and a general plan. For single-point failures, the pre-plan includes but is not limited to the introduction of backup power supplies, or adjustment of power loads, etc. For multi-point failures, the pre-plan includes but is not limited to load transfer operations to ensure fault handling efficiency and rapid power restoration. Based on the above statement, the quick response plan includes:

[0099] Based on single point failure, introduce backup power supply or adjust power load;

[0100] Perform load transfer operations based on multiple point failures;

[0101] Based on a single point failure or multiple point failures, one or more associated scheduled transfer lines are enabled.

[0102] In this embodiment, please refer to Figure 7 As shown, step S15 also includes S151-S154, wherein:

[0103] S151, based on the equipment type of the affected equipment within the fault range and different rapid response plans, select a corresponding weight factor type from a weight factor library;

[0104] S152, automatically generating a tendency feature based on a plurality of corresponding weight element types;

[0105] S153, performing a weight assignment operation for the corresponding weight element type based on the priority and quantity of the affected devices within the fault range, as well as the technical parameters and real-time parameters of the affected devices;

[0106] S154, establishing at least one set of weight element combination schemes according to each rapid response plan, wherein the weight element combination schemes include corresponding weight element types and weight values, and adding corresponding tendency features to each weight element combination scheme.

[0107] In the above S151-S154, the weight element library includes:

[0108] Whether it is a remotely controlled point for dispatching, the risk of voltage loss of the power outage equipment elements, the maximum current of the power outage equipment distribution network line in the month, the maximum current of the opposite ring network line in the month, the minimum value of the current carrying capacity of the opposite ring network line compared with the minimum current carrying capacity of the ring network loop, the number of users affected by the power outage equipment line, the number of users of the side distribution network line, the bus voltage difference where the line is located, the load rate of the main transformer and main network line and other main network equipment belonging to the opposite side line of the power transfer, the number of users affected by the power outage equipment bus voltage loss, the upper power supply can be traced back to the 10(20)kV ring network line that supplies power to the same 220kV substation, whether the line has completed phase sequence phase verification and trial closing test, whether it contains important sensitive users, the capacity-load ratio of transformers on both sides of the line, the secondary current of CT ratio on both sides of the line, the length of the power outage equipment distribution network line, the length of the opposite ring network line and the lines involved in the complaint work order.

[0109] This embodiment can more conveniently match the weight element types in the same weight element combination scheme by establishing the association between the weight element types, so that different weight element combination schemes have more distinct tendency characteristics, so as to assist the administrator to make decisions quickly.

[0110] S16: Based on the weight factor combination scheme, a scoring operation is performed for each rapid response plan.

[0111] Corresponding to the above S51-S154, this step S16 is specifically as follows:

[0112] Based on multiple sets of weight factor combination schemes corresponding to each rapid response plan, a scoring operation is performed for each rapid response plan. At the same time, after the scoring operation is completed, the corresponding tendency characteristics are displayed so that the administrator can make a decision quickly based on the tendency characteristics.

[0113] As a preferred solution but not a limitation, this embodiment further includes S17-S18 after S16, wherein:

[0114] S17, determining a third directed acyclic topology graph based on the enabled one or more associated predetermined transfer lines;

[0115] S18, marking the faulty device and the isolated area in the third directed acyclic topology graph, and generating a target directed acyclic topology graph.

[0116] The third directed acyclic topology is one of the plurality of second directed acyclic topology graphs. Exemplarily, the third directed acyclic topology graph may be one of the second directed acyclic topology graphs with a higher priority for transfer. By marking the faulty equipment and the isolation area in the third directed acyclic topology graph, it is convenient to determine the maintenance plan for the faulty equipment and also to facilitate the subsequent overall analysis of the power supply plan.

[0117] The embodiment of the present invention determines the faulty device based on the real-time parameters of the distribution network fault recovery decision-making auxiliary model in response to the fault event; according to the faulty device, the fault range is analyzed in the first directed acyclic topology graph based on the distribution network fault recovery decision-making auxiliary model to determine the type of fault accident. This embodiment at least divides the fault accident types into single-point faults and multi-point faults, and establishes a rapid response plan in advance. When an accident occurs, a rapid response plan and a weight element combination scheme that match the fault time are determined according to the type, parameters and fault accident type of the affected equipment. And based on the weight element combination scheme, a scoring operation is performed for each rapid response plan, so that the auxiliary management personnel can select the rapid response plan according to the score. The embodiment of the present invention can provide multiple sets of personalized power supply recovery schemes, which improves the intelligence of the system. On the other hand, the reliability of different power supply recovery schemes can be intuitively fed back through scoring, thereby improving the user experience.

[0118] Second embodiment:

[0119] Please refer to Figure 8 As shown, the present invention also provides a power grid fault processing scoring device 100 based on adaptive weight elements, comprising:

[0120] A first determination module 110 is used to determine the faulty device based on the real-time parameters of the distribution network fault recovery decision support model in response to the fault event;

[0121] A second determination module 120 is used to analyze the fault range in the first directed acyclic topology graph according to the faulty device and based on the distribution network fault recovery decision-making auxiliary model to determine the type of fault accident, wherein the type of fault accident includes a single point fault and a multi-point fault;

[0122] The third determination module 130 is used to determine a matching rapid response plan and a weight factor combination scheme based on the type and parameters of the affected equipment within the fault range and the type of the fault accident;

[0123] The scoring module 140 is used to perform a scoring operation for each rapid response plan based on the weight factor combination scheme.

[0124] The modules of this embodiment are the same as the corresponding steps of the above method embodiment, and will not be repeated here.

[0125] The embodiment of the present invention determines the faulty device based on the real-time parameters of the distribution network fault recovery decision-making auxiliary model in response to the fault event; according to the faulty device, the fault range is analyzed in the first directed acyclic topology graph based on the distribution network fault recovery decision-making auxiliary model to determine the type of fault accident. This embodiment at least divides the fault accident types into single-point faults and multi-point faults, and establishes a rapid response plan in advance. When an accident occurs, a rapid response plan and a weight element combination scheme that match the fault time are determined according to the type, parameters and fault accident type of the affected equipment. And based on the weight element combination scheme, a scoring operation is performed for each rapid response plan, so that the auxiliary management personnel can select the rapid response plan according to the score. The embodiment of the present invention can provide multiple sets of personalized power supply recovery schemes, which improves the intelligence of the system. On the other hand, the reliability of different power supply recovery schemes can be intuitively fed back through scoring, thereby improving the user experience.

[0126] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0127] The present invention also provides a computer device, a grid fault processing scoring system based on adaptive weight elements, the grid fault processing scoring system based on adaptive weight elements comprises: a distribution network fault processing device of a decision support model;

[0128] The distribution network fault processing device of the decision support model is determined by a method of a power network fault processing scoring device based on adaptive weight elements as shown in the second embodiment above.

[0129] An embodiment of the present invention further provides a computer storage medium on which a computer program is stored. When the program is executed by a processor, the power grid fault processing scoring method based on adaptive weight elements as described in the above embodiments is implemented.

[0130] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned power grid fault processing scoring method based on adaptive weight elements. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0131] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the relevant technology. The computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, terminal, or network device, etc.) to execute all or part of the methods of each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, RAM, ROM, magnetic disks or optical disks.

[0132] Corresponding to the above-mentioned computer storage medium, in one embodiment, a computer device is also provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the power grid fault processing scoring method based on the adaptive weight element as in the above-mentioned embodiments is implemented.

[0133] The computer device may be a terminal, and its internal structure diagram may be as follows: Fig. 9 As shown. The computer device includes a processor, a memory, a network interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a power grid fault processing scoring method based on adaptive weight elements is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covered on the display screen, or a button, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse, etc.

[0134] The embodiment of the present invention determines the faulty device based on the real-time parameters of the distribution network fault recovery decision-making auxiliary model in response to the fault event; according to the faulty device, the fault range is analyzed in the first directed acyclic topology graph based on the distribution network fault recovery decision-making auxiliary model to determine the type of fault accident. This embodiment at least divides the fault accident types into single-point faults and multi-point faults, and establishes a rapid response plan in advance. When an accident occurs, a rapid response plan and a weight element combination scheme that match the fault time are determined according to the type, parameters and fault accident type of the affected equipment. And based on the weight element combination scheme, a scoring operation is performed for each rapid response plan, so that the auxiliary management personnel can select the rapid response plan according to the score. The embodiment of the present invention can provide multiple sets of personalized power supply recovery schemes, which improves the intelligence of the system. On the other hand, the reliability of different power supply recovery schemes can be intuitively fed back through scoring, thereby improving the user experience.

[0135] The technical features of the above embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0136] The above embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for those of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A scoring method for power grid fault handling based on adaptive weight elements, characterized in that: include: In response to a fault event, determining a faulty device based on real-time parameters of a distribution network fault recovery decision support model; According to the faulty device, based on the distribution network fault recovery decision-making auxiliary model, the fault range is analyzed in the first directed acyclic topology graph to determine the type of fault accident, wherein the type of fault accident includes single-point fault and multi-point fault; Determine a matching rapid response plan and weight factor combination scheme based on the type and parameters of the affected equipment within the fault scope and the type of the fault accident; Based on the weight factor combination scheme, a scoring operation is performed for each rapid response plan.

2. The method according to claim 1, characterized in that According to the faulty device, the fault range is analyzed in the first directed acyclic topology graph based on the distribution network fault recovery decision-making auxiliary model to determine the type of fault accident, which includes single-point fault and multi-point fault, including: If the faulty device is a single device, determine the accident type as a single point failure; If the faulty device is multiple devices, obtain the fault area boundary associated with the faulty device; Obtain the scheduled transfer lines associated with the boundaries of each fault area, and analyze the topological relationship between the scheduled transfer lines and the faulty equipment and affected equipment; Based on the analysis result, determine whether the accident type is a single point failure or a multiple point failure.

3. The method according to claim 2, characterized in that The obtaining of the predetermined transfer lines associated with the boundaries of each fault area and analyzing the topological relationship between the predetermined transfer lines and the faulty equipment and the affected equipment includes: Based on the fault isolation simulation of the faulty device and the affected device, and after integrating one or more predetermined transfer lines, a second directed acyclic topology graph is generated; In the second directed acyclic topology graph, it is determined whether fault area boundaries of multiple faulty devices intersect.

4. The method according to claim 3, characterized in that The determining of a matching rapid response plan and a weight factor combination scheme based on the type and parameters of the affected equipment within the fault range and the type of the fault accident includes: Based on the equipment types of the affected equipment within the fault range and different rapid response plans, select the corresponding weight factor type from the weight factor library; Automatically generate propensity features based on multiple corresponding weight element types; Based on the priority and quantity of the affected devices within the fault range, as well as the technical parameters and real-time parameters of the affected devices, a weight assignment operation is performed for the corresponding weight element type; At least one set of weight element combination schemes is established according to each rapid response plan, wherein the weight element combination schemes include corresponding weight element types and weight values, and corresponding tendency features are added to each weight element combination scheme.

5. The method according to claim 4, characterized in that The rapid response plan includes: Based on single point failure, priority is given to introducing backup power supplies or adjusting power loads; Based on multiple point failures, load transfer operations are performed preferentially; Based on a single point failure or multiple point failures, one or more associated scheduled transfer lines are enabled.

6. The method according to claim 4, characterized in that The weight element library comprises: Whether it is a remotely controlled point for dispatching, the risk of voltage loss of the power outage equipment elements, the maximum current of the power outage equipment distribution network line in the month, the maximum current of the opposite ring network line in the month, the minimum value of the current carrying capacity of the opposite ring network line compared with the minimum current carrying capacity of the ring network loop, the number of users affected by the power outage equipment line, the number of users of the side distribution network line, the bus voltage difference where the line is located, the load rate of the main transformer and main network line and other main network equipment belonging to the opposite side line of the power transfer, the number of users affected by the power outage equipment bus voltage loss, the upper power supply can be traced back to the 10(20)kV ring network line that supplies power to the same 220kV substation, whether the line has completed phase sequence phase verification and trial closing test, whether it contains important sensitive users, the capacity-load ratio of transformers on both sides of the line, the secondary current of CT ratio on both sides of the line, the length of the power outage equipment distribution network line, the length of the opposite ring network line and the lines involved in the complaint work order.

7. A power grid fault processing scoring device based on adaptive weight elements, characterized in that: include: A first determination module is used to determine the faulty device based on the real-time parameters of the distribution network fault recovery decision-making auxiliary model in response to the fault event; A second determination module is used to analyze the fault range in the first directed acyclic topology graph according to the faulty device and based on the distribution network fault recovery decision-making auxiliary model to determine the type of fault accident, wherein the type of fault accident includes a single point fault and a multi-point fault; A third determination module is used to determine a matching rapid response plan and a weight factor combination scheme based on the type and parameters of the affected equipment within the fault range and the type of the fault accident; The scoring module is used to perform scoring operations for each rapid response plan based on the weight factor combination scheme.

8. A grid fault handling scoring system based on adaptive weight elements, characterized in that: The grid fault processing scoring system based on adaptive weight elements includes: a distribution network fault processing device of a decision support model; The distribution network fault processing device of the decision support model is determined by a power grid fault processing scoring device method based on adaptive weight elements as shown in claims 1-6.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the power grid fault processing scoring method based on adaptive weight elements as described in any one of claims 1 to 5 is implemented.

10. A computer storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the power grid fault processing scoring method based on adaptive weight elements as described in any one of claims 1 to 5 is implemented.

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