Method for restoring power supply of rail transit and control equipment
By building a power supply model and establishing a recovery power supply logic treatment model, the power supply recovery decision is automatically generated and executed, and the problem of low efficiency in handling abnormal power supply abnormalities of rail transit is solved, and fast and accurate fault recovery is achieved.
Patent Information
- Application Number
- CN202411676598.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-21
- Publication Date
- 2025-04-04
AI Technical Summary
In the rail transit industry, when the power supply system is abnormal, the existing technology relies on automatic disposal of protection devices and manually analyzes and decisions, resulting in low disposal efficiency, long failure recovery time, and may lead to an expansion of the fault range.
By building a power supply model, establishing a logical disposal model for restoring power supply, generating a disposal decision based on power supply abnormal information, and automatically determining the target disposal decision to achieve power supply recovery.
It improves the efficiency of handling power supply abnormalities, shortens the fault recovery time, reduces the requirements for operators, and ensures the stable operation of the rail transit system.
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Figure CN119765264A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of power supply for rail transit, and in particular to a method and control device for restoring power supply for rail transit. Background Art
[0002] Currently, when an abnormality occurs in the power supply system, the protection device will automatically perform protection actions according to the fault situation, cut off the faulty circuit breaker, and restore power supply through system self-healing methods such as backup automatic reclosing and reclosing. However, the system protection action cannot handle all abnormalities, and manual handling is required to cut off the fault and restore power supply.
[0003] In the rail transit industry, power supply restoration mainly relies on manual analysis of abnormal situations and execution of disposal decisions after the protection device is activated. However, manual decision-making is too inefficient or erroneous, which may affect train and station operations and even cause the scope of the fault to expand. Summary of the invention
[0004] In an exemplary embodiment of the present application, a method and control device for restoring power supply for rail transit are provided, which improves the efficiency of handling power supply anomalies, shortens fault recovery time, and reduces requirements for operators.
[0005] According to a first aspect of an exemplary embodiment, a method for restoring power supply for rail transit is provided, which is applied to a power supply system and includes:
[0006] A power supply model is constructed according to the power supply areas included in the power supply system, the stations served by each power supply area, the logical intervals included in each power supply area, the equipment included in each logical interval, the measuring points included in each equipment, and the energized state and power supply direction of each equipment; wherein there is a logical dependency relationship between the equipment in each logical interval; each area includes a substation or contact rail;
[0007] Based on the power supply model, a power supply restoration logic handling model is established; wherein the power supply restoration logic handling model includes power supply restoration operation rules corresponding to different power supply abnormality information;
[0008] Inputting the current power supply abnormality information into the power supply restoration logic disposal model to obtain at least one disposal decision; wherein each disposal decision includes operation information for restoring power supply;
[0009] A target handling decision is determined in at least one handling decision; wherein the target handling decision is used for traffic power restoration.
[0010] In the embodiment of the present application, a power supply model is constructed according to the various power supply areas included in the power supply system, the stations served by each power supply area, the logical intervals included in each power supply area, the equipment included in each logical interval, the measuring points included in each equipment, and the energized state and power supply direction of each equipment. Moreover, based on the power supply model, a power supply restoration logic disposal model is established. The power supply restoration logic disposal model includes power supply restoration operation rules corresponding to different power supply abnormality information. Then, the current power supply abnormality information is input into the power supply restoration logic disposal model to obtain at least one disposal decision, and each disposal decision includes operation information for restoring power supply. When there are multiple disposal decisions, one of them can also be selected as a target disposal decision, and the target disposal decision can be used to restore power supply to the transportation system. Compared with the manual power supply restoration in the related art, the efficiency of power supply abnormality disposal is improved, the fault recovery time is shortened, and the requirements for operators are reduced.
[0011] In an optional implementation, a power supply model is constructed according to each power supply area included in the power supply system, the logical intervals included in each power supply area, the devices included in each logical interval, the measuring points included in each device, and the power supply state and power supply direction of each device, including:
[0012] Construct a basic power supply model according to the power supply areas included in the power supply system, the equipment included in each power supply area, and the measurement points included in each equipment;
[0013] Build network topology based on the power status and power supply direction of each device;
[0014] The basic power supply model is updated by applying the network topology to obtain a power supply model.
[0015] In the above embodiment, when constructing the power supply model, not only the power supply areas included in the power supply system, the equipment included in each power supply area, and the measuring points included in each equipment are considered, but also the power supply state and power supply direction of each equipment are considered. Therefore, the obtained power supply model function represents the actual power supply system. The power supply restoration logic disposal model established by using the power supply model is more accurate.
[0016] In an optional embodiment, the method further includes:
[0017] Construct a power supply anomaly recognition model;
[0018] Inputting the power supply anomaly description information into the power supply anomaly recognition model to obtain the current power supply anomaly information;
[0019] The power supply anomaly information includes the type of abnormal substation, the abnormal type of cross-station equipment, a single-station fault or a fault between two adjacent stations, and the location of the fault point in the power supply system.
[0020] In the above embodiment, by constructing a power supply anomaly identification model, the current power supply anomaly information can be determined based on the power supply anomaly description information, so that the type of abnormal substation, the abnormal type of cross-station equipment, single-station fault or two adjacent station faults, and the location of the fault point in the power supply system can be determined. More detailed power supply anomaly description information can better determine the corresponding handling decision.
[0021] In an optional implementation manner, before inputting the current power supply abnormality information into the power supply restoration logic processing model, the method further includes:
[0022] Determine whether the abnormality type indicated by the current power supply abnormality information is a type that affects station power supply or train power supply.
[0023] In the above embodiment, since the abnormal types that affect the station power supply or the train power supply require power restoration operations, and the abnormal types that do not affect the station power supply and the train power supply only require fault isolation operations, the current abnormal type can be determined in advance so that a more appropriate operation can be selected.
[0024] In an optional embodiment, the method further includes:
[0025] If it is determined that the abnormality type indicated by the current power supply abnormality information is a type that does not affect the station power supply and does not affect the train power supply, a fault isolation operation is performed.
[0026] In the above embodiment, for the type that does not affect the power supply of the station and does not affect the power supply of the train, it is sufficient to perform the fault isolation operation, which reduces the complexity of the operation and also plays an isolation role.
[0027] In an optional embodiment, the method further includes:
[0028] Obtain historical power supply abnormality information;
[0029] Determine the type, location and impact range of the current fault indicated by the current power supply abnormality information according to the respective abnormality reporting time sequence, abnormality content and logical relationship between abnormal points in the current power supply abnormality information and the historical power supply abnormality information;
[0030] The abnormality type indicated by the current power supply abnormality information is determined according to the type, location and impact range of the current fault.
[0031] In the above embodiment, the current power supply anomaly information is analyzed in combination with the historical power supply anomaly information to determine the type, location and impact range of the current fault and the anomaly type indicated by the current power supply anomaly information. The anomaly type indicated by the current power supply anomaly information determined in this way is more in line with the actual power supply anomaly situation.
[0032] In an optional embodiment, determining a target treatment decision in at least one treatment decision includes:
[0033] According to the scenarios that each disposal decision matches, the scoring rules of the corresponding scenarios are applied to score the corresponding disposal decisions; the scenarios include: scenarios that only affect driving, scenarios that only affect power supply in the station, scenarios that do not affect driving and do not affect power supply in the station, or scenarios that affect both driving and power supply in the station; the scoring rules under each scenario are determined based on some or all of the operation steps, the number of affected stations, the impact of short-term power outages, the impact of voltage fluctuations, and cross-voltage levels;
[0034] The disposal decision with the highest score is determined as the target disposal decision.
[0035] In the above embodiment, when there are multiple disposal decisions, the corresponding disposal decisions can be scored according to the scenarios that each disposal decision matches, and the scoring rules of the corresponding scenarios can be applied to score the disposal decisions, and the disposal decision with the highest score can be determined as the target disposal decision, so as to provide the user with a more preferred disposal decision.
[0036] In an optional implementation, the power restoration operation rules are determined based on the set operation principles of the power supply system, the operation sequence of power outage and power supply at the load end and the power supply end, and the interlocking logic between devices.
[0037] In the above-mentioned embodiment, the power restoration operation takes into account the above-mentioned operation principles, operation sequence and logic, etc., so that the power restoration operation determined is more accurate.
[0038] According to a second aspect of an exemplary embodiment, there is provided a control device, applied to a power supply system, comprising a memory and a processor;
[0039] Memory, configured to execute:
[0040] The storage power supply system includes various power supply areas, stations served by each power supply area, logical intervals included in each power supply area, equipment included in each logical interval, and measurement points included in each equipment.
[0041] A processor configured to execute:
[0042] A power supply model is constructed according to the power supply areas included in the power supply system, the stations served by each power supply area, the logical intervals included in each power supply area, the equipment included in each logical interval, the measuring points included in each equipment, and the energized state and power supply direction of each equipment; wherein there is a logical dependency relationship between the equipment in each logical interval; each area includes a substation or contact rail;
[0043] Based on the power supply model, a power supply restoration logic handling model is established; wherein the power supply restoration logic handling model includes power supply restoration operation rules corresponding to different power supply abnormality information;
[0044] Inputting the current power supply abnormality information into the power supply restoration logic disposal model to obtain at least one disposal decision; wherein each disposal decision includes operation information for restoring power supply;
[0045] A target handling decision is determined in at least one handling decision; wherein the target handling decision is used for traffic power restoration.
[0046] According to a third aspect of an exemplary embodiment, a device for restoring power supply in rail transit is provided, which is applied to a power supply system and includes:
[0047] The model building unit is used to build a power supply model according to the power supply areas included in the power supply system, the stations served by each power supply area, the logical intervals included in each power supply area, the equipment included in each logical interval, the measuring points included in each equipment, and the energized state and power supply direction of each equipment; wherein there is a logical dependency relationship between the equipment in each logical interval; each area includes a substation or contact rail;
[0048] The model building unit is further used to: establish a power supply restoration logic handling model based on the power supply model; wherein the power supply restoration logic handling model includes power supply restoration operation rules corresponding to different power supply abnormality information;
[0049] A processing unit, configured to: input current power supply abnormality information into a power supply restoration logic disposal model to obtain at least one disposal decision; wherein each disposal decision includes operation information for restoring power supply;
[0050] The processing unit is further used to: determine a target handling decision in at least one handling decision; wherein the target handling decision is used for traffic power restoration.
[0051] According to a fourth aspect of the exemplary implementation, a computer storage medium is provided, in which computer program instructions are stored. When the instructions are executed on a computer, the computer executes the method for restoring power supply to rail transit as described in the first aspect. BRIEF DESCRIPTION OF THE DRAWINGS
[0052] In order to more clearly illustrate the technical application in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.
[0053] Figure 1 A schematic diagram of a rail transit authority power supply system provided by an embodiment of the present application is exemplarily shown;
[0054] Figure 2 A flowchart of a method for restoring power supply to rail transit provided by an embodiment of the present application is exemplarily shown;
[0055] Figure 3 A schematic diagram exemplarily shows an operating state of a power supply system provided in an embodiment of the present application;
[0056] Figure 4 A schematic diagram of a property tree of a network topology provided by an embodiment of the present application is exemplarily shown;
[0057] Figure 5 A schematic diagram exemplarily shows a power supply direction provided in an embodiment of the present application;
[0058] Figure 6 A schematic diagram exemplarily shows a power supply direction when a certain power supply fails provided in an embodiment of the present application;
[0059] Figure 7 A schematic diagram of a power supply scheduling process provided by an embodiment of the present application is exemplarily shown;
[0060] Figure 8 An interface diagram of a power supply system provided by an embodiment of the present application is exemplarily shown;
[0061] Fig. 9 A schematic diagram of the structure of a device for restoring power supply for rail transit provided in an embodiment of the present application is exemplarily shown;
[0062] Fig.10 A structural diagram of a control device provided in an embodiment of the present application is exemplarily shown. DETAILED DESCRIPTION
[0063] In order to make the purpose, technical application and advantages of the embodiments of the present application clearer, the technical application in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.
[0064] The power supply system for urban rail transit in my country is powered by centralized power supply, which is supplied by the national or city high-voltage power grid system at several receiving points. Generally, the power is distributed to each station substation through the power supply unit's 110kV voltage reduction, or directly distributed to each station through a 35kV switch station. Figure 1 A schematic diagram of a rail transit authority power supply system provided in an embodiment of the present application.
[0065] The power supply system is an important part of rail transit. It not only provides traction power for the normal operation of trains, but also provides power supply for the normal operation of stations, such as lighting, air conditioning, escalators, platform doors, signals, communications and other equipment. If the power supply system is abnormally interrupted, it will directly affect the main line operation of the subway. Therefore, when power supply abnormalities occur, quickly and accurately removing the fault and restoring power supply are the keys to ensuring reliable operation.
[0066] At present, when an abnormality occurs in the power supply system, the protection device will automatically perform protection actions according to the fault situation, cut off the faulty circuit breaker, and restore power supply through system self-healing methods such as backup automatic switching and reclosing. However, the system protection action cannot handle all abnormalities, and manual handling is required to remove the fault and restore power supply. At present, power supply restoration in the rail industry mainly relies on manual analysis of abnormal conditions and handling decisions after the protection device is activated. If the manual decision-making efficiency is too low or wrong, it may affect the operation of trains and stations, and even cause the scope of the fault to expand.
[0067] In the related technologies, the power industry currently focuses on abnormal power supply recovery decisions, mainly dealing with and making decisions on abnormalities for urban power distribution networks, or only for rail traction networks. These power supply scenarios are not applicable to the application scenarios of rail transit station substations; in terms of technical implementation paths, the use of fault location judgment based on protection action data, or the use of breadth search for power supply paths, natural selection to make the best decision, and generate the best path are different from the business scope and implementation methods of this application. There is also a business scenario for power supply recovery decisions, but it focuses on the design of abnormal analysis and handling process methods, including combining video analysis to judge abnormalities, and the design of automatic electronic issuance of operation tickets for the handling process.
[0068] To this end, an embodiment of the present application provides a method for restoring power supply for rail transit, which is applicable to the field of urban rail transit power dispatching. When the power supply system trips and loses power, a decision analysis is performed, and the best handling suggestions are recommended to users through the NCF algorithm. In its specific implementation process, one part is to model the power supply system as a whole, including data modeling of the power supply system according to functional areas, stations, equipment, and logical intervals, and save the connection relationships between various devices, substations, and logical areas. After the basic system structure modeling is completed, the power supply network topology is established according to the energized state and power supply direction. Finally, a feature library is established for the power supply operation status, power supply anomalies, and interlocking logic between measuring points to match the identification and analysis of power supply anomalies. The other part is to establish a logical handling model for restoring power supply, power supply operation rules, and an expert library for matching power supply anomalies.
[0069] When an abnormality occurs, the feature library of the power supply abnormality is matched according to the alarm input information. The feature library can be configured and adjusted according to the protection logic of each project. The abnormality type and range are identified through the matching of the feature library, and the most appropriate disposal suggestion is generated through matching the feature library and comparison.
[0070] The business handling process when users actually use this function is generally to first understand the current status of the fault, and then handle it based on the current status. The handling action is divided into two parts: isolating the fault and restoring power supply. Through the method of this application, the automation of business analysis and decision-making is achieved.
[0071] To further illustrate the technical application provided by the embodiments of the present application, the following is a detailed description of this in conjunction with the accompanying drawings and specific implementation methods. Although the embodiments of the present application provide method operation steps as shown in the following embodiments or drawings, more or fewer operation steps may be included in the method based on routine or no creative labor. In the steps where there is no necessary causal relationship logically, the execution order of these steps is not limited to the execution order provided by the embodiments of the present application.
[0072] Combine the following Figure 1 The application scenario shown is shown in Figure 2 A flowchart of a method for restoring power supply to rail transit is shown to illustrate the technology provided by the embodiments of the present application.
[0073] S201: Construct a power supply model according to the power supply areas included in the power supply system, the stations served by each power supply area, the logical intervals included in each power supply area, the equipment included in each logical interval, the measuring points included in each equipment, and the power status and power supply direction of each equipment.
[0074] S202: Based on the power supply model, establish a power supply restoration logic processing model.
[0075] S203: Input the current power supply abnormality information into the power supply restoration logic processing model to obtain at least one processing decision.
[0076] S204: Determine a target treatment decision in at least one treatment decision.
[0077] In the embodiment of the present application, a power supply model is constructed according to the various power supply areas included in the power supply system, the stations served by each power supply area, the logical intervals included in each power supply area, the equipment included in each logical interval, the measuring points included in each equipment, and the energized state and power supply direction of each equipment. Moreover, based on the power supply model, a power supply restoration logic disposal model is established. The power supply restoration logic disposal model includes power supply restoration operation rules corresponding to different power supply abnormality information. Then, the current power supply abnormality information is input into the power supply restoration logic disposal model to obtain at least one disposal decision, and each disposal decision includes operation information for restoring power supply. When there are multiple disposal decisions, one of them can also be selected as a target disposal decision, and the target disposal decision can be used to restore power supply to the transportation system. Compared with the manual power supply restoration in the related art, the efficiency of power supply abnormality disposal is improved, the fault recovery time is shortened, and the requirements for operators are reduced.
[0078] In relation to S201, the power supply system is mainly composed of substations or switch stations, traction stations, step-down stations and contact rails. As the power supply end of the entire line, the power supply station directly affects the power supply of the substations along the entire line. According to the connection relationship and power supply direction between the substations, the station close to the power supply station is the power supply end connected to the next substation; inside the substation, the step-down part is supplied by the station through the step-down station, and the traction part is supplied by the station after the step-down of the electricity entering the station, or it can be supplied by the station through the contact rail.
[0079] The power supply system includes various power supply areas, each of which includes a substation or contact rail. Each power supply area serves at least one station, and each power supply area is further divided into at least one logical interval, each logical interval includes at least one device, there is a logical dependency relationship between the devices in each logical interval, and each device includes at least one measuring point. Therefore, a power supply model is constructed according to the various power supply areas included in the power supply system, the stations served by each power supply area, the logical intervals included in each power supply area, the devices included in each logical interval, the measuring points included in each device, and the energized state and power supply direction of each device.
[0080] Optionally, building a power supply model can be achieved through steps A1-A3:
[0081] A1: Construct a basic power supply model according to the power supply areas included in the power supply system, the equipment included in each power supply area, and the measurement points included in each equipment.
[0082] Optionally, building a basic power supply model can be divided into three stages: station and equipment modeling stage, logical interval modeling stage, and comprehensive modeling stage.
[0083] In the station and equipment modeling stage, each substation and all power supply equipment and measurement points contained in the substation are assigned to the station to which they belong. With the final jurisdiction unit and station as the business management unit, the substation, the power supply equipment in the substation, and the measurement points under the equipment are modeled and managed. Each device is marked and divided according to the device type and the voltage level to which it belongs.
[0084] In the logical interval modeling stage, in order to facilitate the definition of operation sequence, fault isolation and recovery relationship search in auxiliary decision-making, the concept of interval is defined, and the interval is divided according to the circuit to which the circuit breaker belongs. In the power supply system, according to the logical relationship of the circuit interval of the power cabinet of the actual equipment, the equipment that affects the on and off of the power supply link is divided into logical areas. For example, the circuit breaker 301, the disconnector 3011, and the earth knife 3011E belong to the same interval of the incoming line circuit; the circuit breaker 321, the disconnector 3211, and the earth knife 3211E belong to the same interval. The equipment in the same interval has an operation lockout logic relationship, and is also the operation object of fault isolation during emergency disposal.
[0085] In the comprehensive modeling stage, the substations of the power supply system are divided into functional areas, the stations are matched with the substations, the equipment and measuring points in the substations, and the equipment in the substations that affect the on and off of the power supply link are divided into intervals, and data modeling is carried out accordingly. In addition to its own equipment type and measuring point information, each device also has attribute information of the station, substation (including substation type), voltage level, and interval to which it belongs.
[0086] A2: Build the network topology based on the power status and power supply direction of each device.
[0087] Optionally, in the process of building the network topology, the connection relationship between each device also needs to be considered. Through the interface configuration function, the device graphics are connected to form a monitoring interface consistent with the actual power supply system network. Each device graphic can display the actual status of the device (closed, disconnected, faulty, etc.) according to the status of the device measurement point. Each device graphic corresponds to the actual device one by one and has a unique number. Through the connection relationship between devices, a list of devices based on stations and their corresponding connection relationships, and the line connection relationship between stations are formed. The line and equipment energized status is judged based on the effective value of the voltage and the connection relationship and on-off status of the on-off type equipment. In the actual application process, the power supply status can be judged, and the energized status of the equipment can also be called. Figure 3 A schematic diagram of the operating status of a power supply system provided in an embodiment of the present application, which shows the connection relationship between various devices, etc.
[0088] An attribute tree is constructed based on the information about the stations, substations, intervals, etc. to which the above-mentioned equipment belongs, as well as the equipment's own status, connection information, protection status, etc. This tree is used in power supply anomaly identification, logical relationship establishment, disposal path generation, power supply logic judgment, and other matters. Figure 4 A schematic diagram of a property tree of a network topology provided in an embodiment of the present application.
[0089] For the judgment of power supply direction, the relationship between each station can be determined from the power supply system diagram of the whole line, and each station is powered by the power supply station. Take the two incoming lines and two outgoing lines of a conventional station as an example. The two outgoing lines of the power supply station are respectively connected to the two incoming lines of a certain station. Under normal conditions, the two incoming lines of the station supply electricity to the two outgoing lines through the busbar, and the two outgoing lines supply the two incoming lines of the next station.
[0090] Figure 5 A schematic diagram of a power supply direction provided in an embodiment of the present application, from the power source to the connected station in sequence, the line connected to the previous power supply end substation is the incoming line, and the line connected to the next supply end substation is the outgoing line, thereby determining the power supply direction. The power supply source itself is provided by the upper level power supply company, which is not repeated in this application.
[0091] Figure 6 A schematic diagram of the power supply direction when a power supply fails is provided in an embodiment of the present application. When a power source among multiple power sources fails to supply power due to an abnormality, the emergency liaison switch is closed, and the side of the emergency liaison switch close to the working power source is the power input terminal, and the side away from the working power source is the output terminal. Power is supplied between stations on the line in this way. The principle of determining the power supply direction is the same as before. If there are multiple input and output lines, they are simplified to one line, and the arrow represents the power supply direction. The red cross is the default disconnected emergency liaison switch, when a power source fails. The power supply direction is guided by the traversal path from the power source to the load, and the direction will be dynamically adjusted according to the line status of the power supply system.
[0092] A3: Apply the network topology to update the basic power supply model to obtain the power supply model.
[0093] Optionally, the relationship represented by the network topology can be superimposed on the basic power supply model, so that a power supply model can be obtained. Through the power supply model, the power supply direction, the relationship between devices, etc. can be determined.
[0094] Regarding S202, after the power supply model is obtained, a power supply restoration logic processing model can be established based on the power supply model.
[0095] Optionally, the power restoration logic handling model includes power restoration operation rules corresponding to different power supply abnormality information. The power restoration operation rules are determined according to the set operation principle of the power supply system, the operation sequence of power outage and power supply at the load end and the power supply end, and the locking logic between devices.
[0096] In S203, the current power supply abnormality information is input into the power supply restoration logic processing model to obtain at least one processing decision.
[0097] Each disposal decision includes the operation information for restoring power supply. Different disposal decisions correspond to different operation information for restoring power supply. According to the logic of power supply system operation principles and regional regulations, operation rules are formulated, such as the five-prevention principle of power supply, the operation sequence of power outage and power supply at the load end and power supply end, and equipment locking logic. When determining the restoration path and generating operation step suggestions, this is used as the principle of step sequence.
[0098] In addition, the current power supply abnormality information can be determined through steps B1-B2.
[0099] B1: Construct a power supply anomaly recognition model.
[0100] Among them, a power supply anomaly identification model can be constructed through a feature library composed of power supply anomaly features. According to the power supply area (power supply station, step-down station, traction station, contact rail), all fault anomaly types that may affect the power supply on and off are traversed to clarify the current project protection input type and possible tripping anomaly type. This part of the content needs to be configured and input according to the specific project to identify the anomaly type. In addition to the fault type of the equipment's own protection input, other factors that affect fault handling at the system level must also be considered, including the type of substation, cross-station equipment between substations, abnormalities in adjacent substations, and substations at different locations in the power supply system (such as intermediate substations and terminal substations). The factors form a matching traversal of different tripping anomaly types and various influencing factors to ensure that the fault feature library is fully covered.
[0101] B2: Input the power supply anomaly description information into the power supply anomaly recognition model to obtain the current power supply anomaly information.
[0102] The power supply anomaly information includes the type of abnormal substation, the abnormal type of cross-station equipment, a single-station fault or a fault between two adjacent stations, and the location of the fault point in the power supply system.
[0103] Table 1 is a schematic table of power supply abnormality information provided in an embodiment of the present application.
[0104]
[0105] In addition, it can also be determined that the abnormal type indicated by the current power supply abnormality information is a type that affects the station power supply or the train power supply. If it is determined that the abnormal type indicated by the current power supply abnormality information is a type that does not affect the station power supply and does not affect the train power supply, then the fault isolation operation can be performed. If it is determined that the abnormal type indicated by the current power supply abnormality information is a type that affects the station power supply or does not affect the train power supply, then power supply restoration can be performed.
[0106] Optionally, the abnormality type indicated by the current power supply abnormality information is determined through steps C1-C3:
[0107] C1: Get historical power supply abnormality information.
[0108] C2: Determine the type, location and impact range of the current fault indicated by the current power supply abnormality information according to the respective abnormality reporting timing, abnormality content and logical relationship between abnormal points in the current power supply abnormality information and the historical power supply abnormality information.
[0109] C3: Determine the abnormality type indicated by the current power supply abnormality information according to the type, location and impact range of the current fault.
[0110] When restoring power, the system needs to assist the staff in removing the fault and finding the power source. In addition to separating the circuit breaker, the fault removal generally requires disconnecting the isolating switch in the same interval to isolate the abnormal end of the fault. At the same time, in the existing power supply link, find the power supply end and restore power to the power-lost part by closing the necessary on-off devices. In rail transit operations, the focus is on ensuring the power supply in subway stations and train operations, so the focus is on ensuring the normal power supply of 400V busbar mounting equipment and contact rails, and the power restoration operation also aims at this.
[0111] Therefore, the operating status of the current power supply system can be determined by the separation and connection and energized status of the equipment, and static related attribute relationships of the equipment can be generated based on the equipment attributes and connection relationships. Based on static information such as the equipment and its connection relationships, the logic and location information of the equipment, and the separation and connection and energized status information of the equipment during operation, power supply restoration disposal analysis can be performed.
[0112] According to the characteristics of the power supply mode of the power system, power restoration relies on the chain structure between power supply system stations, and realizes the intra-station segmented support restoration or cross-station support restoration through the conductive connection relationship between each substation and the corresponding switch operation, and restores power supply by closing the jumper device. Table 2 is a schematic table of the conductive connection relationship of a 35KV device provided in an embodiment of the present application.
[0113] Table 2 Schematic diagram of the conduction connection relationship of a 35KV device
[0114]
[0115] Among them, the node ID is used to indicate the connection relationship between each device. For example, if the circuit breaker 301 connects the feeder B-303-A-301 and the three-position switch 3011, the connected node IDs are consistent. Equipment types can be divided into power supply type, on-off type, load type, transformer type, etc. Busbars, contact rails, and feeders are all power supply equipment. Various types of circuit breakers, three-position switches, etc. belong to on-off type, among which bus tie circuit breakers, longitudinal disconnectors, and emergency contact switches are support recovery equipment. Combined with static information such as the station to which the equipment belongs, the connection relationship between stations and equipment can be determined. The energized state and energized direction of the equipment need to be judged according to the operating state of the power supply system (the judgment of the energized state is not repeated, only the state call is made), and the energized direction is judged from the initial power supply end to the load end.
[0116] When the power supply equipment is abnormal and affects the power supply in the station or the train, the power supply in the station is determined by the load on the 400V busbar, and the power supply for the train is determined by the contact rail. The maximum number of cross-stations is configured according to the design parameters of each project. If the contact rail supports power supply for more than a few stations, the normal voltage supply cannot be guaranteed. In this case, the configuration parameter is used as the limit value for finding the power supply end across the stations at each voltage level.
[0117] When a fault occurs, based on the power failure point and the affected station range, single-sided energized support equipment is searched for in the supportable areas around the station and adjacent stations to restore power. Based on the power supply direction and connection relationships, operation support equipment is searched for in the surrounding areas to restore power. Based on different recovery operation paths, multiple operation suggestions (disposal decisions) are generated.
[0118] In S204, a target handling decision is determined in at least one handling decision, and the target handling decision is used for traffic power restoration.
[0119] For different recovery operation modes, this application constructs a scene-item scoring matrix based on the Neural Collaborative Filtering (NCF) algorithm, matches scenes according to abnormal situations, and screens items according to the scoring mechanism of each scene matching item.
[0120] Specifically, according to the scenarios matched by each disposal decision (scenario that only affects driving - scenario 1, scenario that only affects power supply within the station - scenario 2, scenario that does not affect driving and does not affect power supply within the station - scenario 3, or scenario that affects both driving and power supply within the station - scenario 4), the scoring rules of the application scenarios can be used to score, and then the disposal decision with the highest score can be determined as the target disposal decision.
[0121] Among them, the scoring rules for each scenario are determined based on part or all of the operation steps, the number of affected stations, the impact of short-term power outages, the impact of voltage fluctuations, and the cross-voltage level.
[0122] Optionally, the scoring rule is determined as follows:
[0123] The matrix-related items are scored and set according to industry experience, and are used to evaluate the impact of the project on the score. Among them, for the operation steps, as the number of operation steps increases, the score gradually decreases, the lowest is 0, and there is no difference between different scenarios; for the number of stations affected, as the number of stations increases, the score gradually decreases. Considering that the running contact rail is generally a cross-station device, the sensitivity of scenarios 1 and 4 to the increase in the number of stations is lower than that of scenario 2, and scenario 3 is the least sensitive; for the short-term power failure impact item and the voltage fluctuation impact item, as the number of affected stations increases, the score gradually decreases, among which scenario 2 has the highest sensitivity, and the other three scenarios are lower than scenario 2, and the sensitivity is consistent; for the cross-voltage level item, only a judgment is made, no is full score, and yes is 0 points.
[0124] For example, suppose A i Data of all relevant items for the i-th business scenario:
[0125] A i ={a i1 ,a i2 ,a i3 ,…a in}
[0126] Among them, a i1 The first relevant item data corresponding to the i-th business scenario, for example, can be an operation step. Each item corresponds to a different weight allocation. Let s in The weight ratio of the nth item of the i-th business scenario is:
[0127] S i ={s i1 ,s i2 ,s i3 ,…s in};
[0128] According to the impact of conventional power supply dispatching operations, the initial network weight s in Set up the initial allocation.
[0129] Assuming P is the overall judgment factor, the overall score of this application is adjusted according to the project regulations. P may be 0 or 1. For example, the contact rail of this line can only support one station at most on one side. If there are more than one station, the voltage drop is lower than the effective value and normal power supply cannot be performed. This application is not feasible and P is 0. In other cases, it is 1. The impact of specific parameters on P is configured according to the specific project. The final score of each operation step
[0130] The four business scenarios represented by i above are mutually exclusive scenarios. Each time, the system determines which category it corresponds to based on the impact of the power supply anomaly, and then brings the generated multiple disposal suggestions into the above matrix to calculate the final score Q. The top three disposal suggestions are given according to the scores for the user to choose. If Q is 0, no suitable suggestion is output.
[0131] When handling an emergency, the decision-making assistance gives suggestions for the user to choose an operation. When the emergency is completed, the system can directly provide feedback through the user's selection record and evaluation.
[0132] The above scoring completes the construction of the initial scoring dataset, which can score known items in the training data through the initial setting of the expert matrix model and the user's historical selection, and give the minimum score to items whose scores cannot be determined. Based on this dataset, NCF is trained to obtain the embedding vector and network weight, that is, the basic recommendation model.
[0133] When the auxiliary decision is deployed on-site, it can give a disposal application based on the actual scene, and sort it by NCF fitting score for users to choose. When the user selects an option, if the dataset score of the positive sample does not reach the set upper limit, the dataset score of the sample is increased; for unselected samples, they are treated as negative samples and their dataset scores are appropriately reduced; if there are samples with negative user feedback, they can be used as negative samples and their negative scores can be further strengthened. This user feedback data sample record can be used as an updated dataset to continuously train the NCF model.
[0134] When the cumulative number of updates on site reaches a certain set value K (K is greater than or equal to 1 and can be set by yourself), the new training samples are mixed with the original samples, the NCF model is retrained, and S is updated. i , generating ranking suggestion decisions.
[0135] The embodiments of the present application can be applied to power supply system monitoring software. When an abnormal tripping of the power supply system is detected, the system status is analyzed and decision-making suggestions are given for user power supply scheduling and disposal. Figure 7 A schematic diagram of a power supply scheduling process provided in an embodiment of the present application.
[0136] For example, the 301 incoming line circuit breaker of station A trips abnormally, resulting in a power outage of 35kV busbar H1, which in turn affects the 401 circuit breaker and its connected 400V busbar L1. All equipment mounted on L1 loses power, affecting station operations. The abnormal removal should take into account the pull-out operation of the three-position switch 3011 in the same bay of 301. When the 400V busbar of the circuit breaker is not automatically put into operation, the 300 busbar circuit breaker of this station can be closed to restore H1 to power, or the busbar circuit breaker 300 of the next station connected to the 303 circuit breaker can be closed to change the power supply direction and reversely supply power to the 35kV busbar H1 of station A.
[0137] In the above embodiment, when a circuit breaker trips, the monitoring system software will capture the alarm information from the previous period of time at the fault alarm point to the current alarm information, and analyze it according to the alarm sequence, alarm content, and logical relationship between alarm points to determine the type, location, and impact range of the current fault, and automatically determine the current power supply system status and whether it affects station operations and train power supply. If it does not affect normal power supply, it is necessary to determine whether it is necessary to isolate the fault and confirm the status of the equipment within the range affected by short-term fluctuations based on the fault situation and the expert database. If it affects normal power supply, it is necessary to determine the "self-healing" behavior of the protection device to automatically isolate and restore the fault. According to the existing situation, the fault disposal is generated based on the expert database. When there are multiple disposal decisions, the optimal disposal decision is given to restore power supply.
[0138] In the embodiment of the present application, the traditional rail power monitoring method of manually performing abnormal analysis, abnormal power supply alarm, and making power supply restoration decisions after a failure occurs is changed to a system that automatically senses and analyzes power supply abnormalities, and infers and generates power supply restoration disposal suggestions based on the system topology connection relationship and power supply disposal principles. The suggestion is scored based on the NCF scenario / item matrix, the optimal disposal suggestion is output, and the recommendation score is adjusted according to the user's selection habits.
[0139] Figure 8 An interface diagram of a power supply system provided in an embodiment of the present application, Figure 8 It includes accident phenomena, accident analysis, disposal suggestions, alternative plans, and the operation status of the entire line, the status of power supply equipment, etc. Only part of the displayed content is listed here. Since when a power supply anomaly occurs in a subway station substation, the disposal and recovery efficiency directly affects the station operation and train operation. Therefore, in the embodiment of the present application, the system automatically assists in decision-making for the dispatching user to restore power supply operations, greatly improving the problem analysis and disposal decision-making efficiency of power supply anomaly disposal, improving emergency disposal efficiency, shortening fault recovery time, reducing the experience requirements for operators, and ensuring operational production.
[0140] like Fig. 9 As shown, based on the same inventive concept, an embodiment of the present application provides a device for restoring power supply for rail transit, which is applied to a power supply system, including:
[0141] The model building unit 91 is used to build a power supply model according to the power supply areas included in the power supply system, the stations served by each power supply area, the logical intervals included in each power supply area, the equipment included in each logical interval, the measuring points included in each equipment, and the energized state and power supply direction of each equipment; wherein there is a logical dependency relationship between the equipment in each logical interval; each area includes a substation or a contact rail;
[0142] The model building unit 91 is further used to: establish a power supply restoration logic handling model based on the power supply model; wherein the power supply restoration logic handling model includes power supply restoration operation rules corresponding to different power supply abnormality information;
[0143] The processing unit 92 is used to: input the current power supply abnormality information into the power supply restoration logic disposal model to obtain at least one disposal decision; wherein each disposal decision includes operation information for restoring power supply;
[0144] The processing unit 92 is further used to: determine a target handling decision in at least one handling decision; wherein the target handling decision is used for traffic power restoration.
[0145] In an optional implementation, the model building unit 91 is specifically used for:
[0146] Construct a basic power supply model according to the power supply areas included in the power supply system, the equipment included in each power supply area, and the measurement points included in each equipment;
[0147] Build network topology based on the power status and power supply direction of each device;
[0148] The basic power supply model is updated by applying the network topology to obtain a power supply model.
[0149] In an optional implementation, the model building unit 91 is further configured to:
[0150] Construct a power supply anomaly recognition model;
[0151] Inputting the power supply anomaly description information into the power supply anomaly recognition model to obtain the current power supply anomaly information;
[0152] The power supply anomaly information includes the type of abnormal substation, the abnormal type of cross-station equipment, a single-station fault or a fault between two adjacent stations, and the location of the fault point in the power supply system.
[0153] In an optional implementation, the processing unit 92 is further configured to:
[0154] Determine whether the abnormality type indicated by the current power supply abnormality information is a type that affects station power supply or train power supply.
[0155] In an optional implementation, the processing unit 92 is further configured to:
[0156] If it is determined that the abnormality type indicated by the current power supply abnormality information is a type that does not affect the station power supply and does not affect the train power supply, a fault isolation operation is performed.
[0157] In an optional implementation, the processing unit 92 is further configured to:
[0158] Obtain historical power supply abnormality information;
[0159] Determine the type, location and impact range of the current fault indicated by the current power supply abnormality information according to the respective abnormality reporting time sequence, abnormality content and logical relationship between abnormal points in the current power supply abnormality information and the historical power supply abnormality information;
[0160] The abnormality type indicated by the current power supply abnormality information is determined according to the type, location and impact range of the current fault.
[0161] In an optional implementation, the processing unit 92 is specifically configured to:
[0162] According to the scenarios that each disposal decision matches, the scoring rules of the corresponding scenarios are applied to score the corresponding disposal decisions; the scenarios include: scenarios that only affect driving, scenarios that only affect power supply in the station, scenarios that do not affect driving and do not affect power supply in the station, or scenarios that affect both driving and power supply in the station; the scoring rules under each scenario are determined based on some or all of the operation steps, the number of affected stations, the impact of short-term power outages, the impact of voltage fluctuations, and cross-voltage levels;
[0163] The disposal decision with the highest score is determined as the target disposal decision.
[0164] In an optional implementation, the power restoration operation rules are determined based on the set operation principles of the power supply system, the operation sequence of power outage and power supply at the load end and the power supply end, and the interlocking logic between devices.
[0165] Since the device is the device in the method in the embodiment of the present application, and the principle of solving the problem by the device is similar to that of the method, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be repeated.
[0166] like Fig.10 As shown, based on the same inventive concept, an embodiment of the present application provides a control device applied to a power supply system, including a memory 101 and a processor 102 .
[0167] The memory 101 is configured to execute:
[0168] The storage power supply system includes various power supply areas, stations served by each power supply area, logical intervals included in each power supply area, equipment included in each logical interval, and measurement points included in each equipment.
[0169] The processor 102 is configured to execute:
[0170] A power supply model is constructed according to the power supply areas included in the power supply system, the stations served by each power supply area, the logical intervals included in each power supply area, the equipment included in each logical interval, the measuring points included in each equipment, and the energized state and power supply direction of each equipment; wherein there is a logical dependency relationship between the equipment in each logical interval; each area includes a substation or contact rail;
[0171] Based on the power supply model, a power supply restoration logic handling model is established; wherein the power supply restoration logic handling model includes power supply restoration operation rules corresponding to different power supply abnormality information;
[0172] Inputting the current power supply abnormality information into the power supply restoration logic disposal model to obtain at least one disposal decision; wherein each disposal decision includes operation information for restoring power supply;
[0173] A target handling decision is determined in at least one handling decision; wherein the target handling decision is used for traffic power restoration.
[0174] In an optional implementation, the processor 102 is specifically configured to execute:
[0175] Construct a basic power supply model according to the power supply areas included in the power supply system, the equipment included in each power supply area, and the measurement points included in each equipment;
[0176] Build network topology based on the power status and power supply direction of each device;
[0177] The basic power supply model is updated by applying the network topology to obtain a power supply model.
[0178] In an optional implementation, the processor 102 is further configured to:
[0179] Construct a power supply anomaly recognition model;
[0180] Inputting the power supply anomaly description information into the power supply anomaly recognition model to obtain the current power supply anomaly information;
[0181] The power supply anomaly information includes the type of abnormal substation, the abnormal type of cross-station equipment, a single-station fault or a fault between two adjacent stations, and the location of the fault point in the power supply system.
[0182] In an optional implementation, the processor 102 is further configured to:
[0183] Determine whether the abnormality type indicated by the current power supply abnormality information is a type that affects station power supply or train power supply.
[0184] In an optional implementation, the processor 102 is further configured to:
[0185] If it is determined that the abnormality type indicated by the current power supply abnormality information is a type that does not affect the station power supply and does not affect the train power supply, a fault isolation operation is performed.
[0186] In an optional implementation, the processor 102 is further configured to:
[0187] Obtain historical power supply abnormality information;
[0188] Determine the type, location and impact range of the current fault indicated by the current power supply abnormality information according to the respective abnormality reporting time sequence, abnormality content and logical relationship between abnormal points in the current power supply abnormality information and the historical power supply abnormality information;
[0189] The abnormality type indicated by the current power supply abnormality information is determined according to the type, location and impact range of the current fault.
[0190] In an optional implementation, the processor 102 is specifically configured to:
[0191] According to the scenarios that each disposal decision matches, the scoring rules of the corresponding scenarios are applied to score the corresponding disposal decisions; the scenarios include: scenarios that only affect driving, scenarios that only affect power supply in the station, scenarios that do not affect driving and do not affect power supply in the station, or scenarios that affect both driving and power supply in the station; the scoring rules under each scenario are determined based on some or all of the operation steps, the number of affected stations, the impact of short-term power outages, the impact of voltage fluctuations, and cross-voltage levels;
[0192] The disposal decision with the highest score is determined as the target disposal decision.
[0193] In an optional implementation, the power restoration operation rules are determined based on the set operation principles of the power supply system, the operation sequence of power outage and power supply at the load end and the power supply end, and the interlocking logic between devices.
[0194] An embodiment of the present application also provides a computer storage medium, in which computer program instructions are stored. When the instructions are executed on a computer, the computer executes the steps of the above-mentioned method for restoring power supply to rail transit.
[0195] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.
[0196] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0197] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.
[0198] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.
[0199] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.
Claims
1. A method for restoring power supply for rail transit, applied to a power supply system, characterized in that: include: A power supply model is constructed according to the power supply areas included in the power supply system, the stations served by each power supply area, the logical intervals included in each power supply area, the equipment included in each logical interval, the measuring points included in each equipment, and the energized state and power supply direction of each equipment; wherein there is a logical dependency relationship between the equipment in each logical interval; and each area includes a substation or a contact rail; Based on the power supply model, a power supply restoration logic handling model is established; wherein the power supply restoration logic handling model includes power supply restoration operation rules corresponding to different power supply abnormality information; Inputting the current power supply abnormality information into the power supply restoration logic disposal model to obtain at least one disposal decision; wherein each disposal decision includes operation information for restoring power supply; A target handling decision is determined in the at least one handling decision; wherein the target handling decision is used for traffic power restoration.
2. The method according to claim 1, characterized in that The power supply model is constructed according to the power supply areas included in the power supply system, the logical intervals included in each power supply area, the devices included in each logical interval, the measuring points included in each device, and the power supply state and power supply direction of each device, including: Constructing a basic power supply model according to the power supply areas included in the power supply system, the equipment included in each power supply area, and the measuring points included in each equipment; Build network topology based on the power status and power supply direction of each device; The basic power supply model is updated by applying the network topology to obtain the power supply model.
3. The method according to claim 1, characterized in that The method further comprises: Construct a power supply anomaly recognition model; Inputting the power supply anomaly description information into the power supply anomaly identification model to obtain current power supply anomaly information; The power supply abnormality information includes the type of abnormal substation, the abnormal type of cross-station equipment, a single-station failure or a failure between two adjacent stations, and the location of the fault point in the power supply system.
4. The method according to claim 1, characterized in that Before inputting the current power supply abnormality information into the power supply restoration logic processing model, the method further includes: Determine whether the abnormality type indicated by the current power supply abnormality information is a type that affects station power supply or train power supply.
5. The method according to claim 4, characterized in that The method further comprises: If it is determined that the abnormality type indicated by the current power supply abnormality information is a type that does not affect the station power supply and does not affect the train power supply, a fault isolation operation is performed.
6. The method according to claim 4 or 5, characterized in that: The method further comprises: Obtain historical power supply abnormality information; Determine the type, location and impact range of the current fault indicated by the current power supply abnormality information according to the respective abnormality reporting timing, abnormal content and logical relationship between abnormal points in the current power supply abnormality information and the historical power supply abnormality information; The abnormality type indicated by the current power supply abnormality information is determined according to the type, location and impact range of the current fault.
7. The method according to claim 1, characterized in that The determining a target treatment decision among the at least one treatment decision comprises: According to the scenarios matched by each disposal decision, the scoring rules of the corresponding scenarios are applied to score the corresponding disposal decisions; wherein the scenarios include: scenarios that only affect driving, scenarios that only affect power supply in the station, scenarios that do not affect driving and do not affect power supply in the station, or scenarios that affect both driving and power supply in the station; the scoring rules under each scenario are determined based on part or all of the operation steps, the number of affected stations, the impact of short-term power outages, the impact of voltage fluctuations, and cross-voltage levels; The disposal decision with the highest score is determined as the target disposal decision.
8. The method according to any one of claims 1 to 5, characterized in that: The power supply restoration operation rules are determined based on the set operation principles of the power supply system, the operation sequence of power outage and power supply at the load end and the power supply end, and the locking logic between devices.
9. A control device, applied to a power supply system, characterized in that: including memory and processor; The memory is configured to execute: The processor storing the power supply areas included in the power supply system, the stations served by each power supply area, the logical intervals included in each power supply area, the devices included in each logical interval, and the measuring points included in each device is configured to execute: A power supply model is constructed according to the power supply areas included in the power supply system, the stations served by each power supply area, the logical intervals included in each power supply area, the equipment included in each logical interval, the measuring points included in each equipment, and the energized state and power supply direction of each equipment; wherein there is a logical dependency relationship between the equipment in each logical interval; and each area includes a substation or a contact rail; Based on the power supply model, a power supply restoration logic handling model is established; wherein the power supply restoration logic handling model includes power supply restoration operation rules corresponding to different power supply abnormality information; Inputting the current power supply abnormality information into the power supply restoration logic disposal model to obtain at least one disposal decision; wherein each disposal decision includes operation information for restoring power supply; A target handling decision is determined in the at least one handling decision; wherein the target handling decision is used for traffic power restoration.
10. The control device according to claim 9, characterized in that The processor is specifically configured to execute: Constructing a basic power supply model according to the power supply areas included in the power supply system, the equipment included in each power supply area, and the measuring points included in each equipment; Build network topology based on the power status and power supply direction of each device; The basic power supply model is updated by applying the network topology to obtain the power supply model.