Power distribution network abnormal operation mode identification method, system and device based on real-time topology analysis and storage medium
Through real-time topological analysis, the abnormal transfer, disconnection and joint ring in the distribution network are identified, and the problems of difficult to identify these abnormal operating modes in the distribution network are solved, and the power supply safety and reliability are improved.
Patent Information
- Application Number
- CN202411490463.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-24
- Publication Date
- 2025-02-14
AI Technical Summary
It is difficult to quickly and accurately identify abnormal operating methods (such as abnormal supply, abnormal disconnection, abnormal ring) caused by human operation or failure in the distribution network, which affects the safety and reliability of power supply.
Using a method based on real-time topological analysis, the contact switch, distribution network switch and power point information in the distribution network is retrieved and analyzed, and combined with the displacement signal and power supply status, abnormal supply, abnormal disconnection and abnormal joint ring are identified, and the abnormal joint ring is generated. Alarm prompts and recovery policies.
It realizes rapid and accurate identification and alarm of multiple abnormal operating modes in the distribution network, improves power supply safety and reliability, and ensures the stable operation of the distribution network.
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Figure CN119442637A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to distribution network technology, and in particular to a method, system, device and storage medium for identifying abnormal operation mode of distribution network based on real-time topology analysis. Background Art
[0002] During the operation of the distribution network, there may be a series of abnormal operating modes due to human operation or fault tripping, including abnormal transfer, abnormal disconnection, abnormal closing, etc.
[0003] Abnormal power transfer usually transfers part of the load of a line to another line for power supply due to line failure, maintenance, load shedding, etc. Although the power transfer operation itself usually meets safety requirements, maintaining the abnormal operation state for a long time will not only affect the original power grid operation plan, but also pose a safety hazard to the line.
[0004] Abnormal disconnection, usually due to fault tripping, temporary maintenance, load voltage drop, etc., disconnects part of the distribution network switch equipment, causing power outages in downstream areas.
[0005] Abnormal ring closing is usually caused by human factors such as misoperation or omission of ring opening operation, which causes some areas in the distribution network to be in a ring network operation state for a long time, which can easily cause problems such as overvoltage and overcurrent, and lead to adverse consequences such as increased line losses and false protection operations.
[0006] Therefore, the real-time topology and operating status of the distribution network should be combined to quickly, accurately and effectively identify and issue alarms for various types of abnormal operating modes in the distribution network, assist distribution network dispatchers in locating abnormalities and restoring normal operating modes, so as to improve the power supply safety and reliability of the distribution network. Summary of the invention
[0007] Purpose of the invention: The method, system, device and storage medium for identifying abnormal operation modes of distribution networks based on real-time topology analysis of the present invention can combine the real-time topology and operation status of the distribution network to quickly, accurately and effectively identify and issue alarms for various types of abnormal operation modes in the distribution network, and assist distribution network dispatchers in locating abnormalities and restoring normal operation modes.
[0008] Technical solution: A method for identifying abnormal operation modes of a distribution network based on real-time topology analysis of the present invention includes abnormal transfer, abnormal disconnection, and abnormal closing identification methods; wherein,
[0009] The abnormal transfer identification method comprises:
[0010] Search for tie switches in the entire network and start analysis for tie switches in the closed position;
[0011] Combined with the real-time topology, analyze the power supply of the tie switch and the related transfer path disconnection point information;
[0012] Determine whether the identification conditions for abnormal power transfer are met. If so, generate an abnormal power transfer event and send an alarm prompt message;
[0013] Combined with the position change signal of the associated switch, the transfer load is calculated, and the normal operation party recovery strategy is analyzed and generated;
[0014] The abnormal disconnection identification method comprises:
[0015] Search for distribution network switches in the entire network, and start analysis for distribution network switches in distributed locations;
[0016] Combined with the real-time topology, the power supply status information of the nodes on both sides of the switch is analyzed;
[0017] Determine whether the identification conditions for abnormal disconnection are met. If so, generate an abnormal disconnection event and send an alarm prompt message;
[0018] Analyze the downstream associated equipment of abnormal disconnecting switches to form power failure range information, and analyze and generate power failure recovery strategies;
[0019] The abnormal closed loop identification method comprises:
[0020] Combined with real-time topology, analyze power point information across the entire network;
[0021] For the power points in the closed loop state, search downwards for the closed loop point;
[0022] Combined with the analysis results, an abnormal loop event is formed and an alarm prompt message is sent.
[0023] Furthermore, combined with the real-time topology, the power supply of the tie switch and the associated transfer path disconnection point information are analyzed, including:
[0024] From any side node of the target tie switch, search towards both sides according to the topological connection relationship;
[0025] If a switch device is found, the remote signaling status of the device is further determined; if it is in the closed position, the search continues to the node on the other side; if it is in the open position, the search of the path is terminated;
[0026] If other dual-end devices are found, the search will be conducted directly to the nodes on the other side.
[0027] If a power supply device is found, its energized state is determined. If it is energized, it is recorded as a power supply.
[0028] The above search process is repeated until the search stops at the energized low-voltage winding device of the transformer, or all paths are searched. The power supply information recorded during the search process is the result of the power supply analysis.
[0029] Furthermore, if a power supply device is found, its energized state is determined, and if it is energized, it is recorded as a power supply, including:
[0030] Determine the line voltage and phase voltage of power supply equipment. If they meet the requirements, they are energized, including:
[0031]
[0032] Among them, v l_limit_low and v l_limit_high are the upper and lower limits of the line voltage respectively; v p_limit_low and v p_limit_high are the upper and lower limits of the phase voltage respectively; v, v_value_2 and v_value_3 are the line voltage, line voltage 2 and line voltage 3 of the target device respectively; v_a_value, v_b_value and v_c_value are the A phase voltage amplitude, B phase voltage amplitude and C phase voltage amplitude of the target device respectively.
[0033] Furthermore, combined with the real-time topology, the power supply of the tie switch and the associated transfer path disconnection point information are analyzed, including:
[0034] According to the topological connection relationship, search downstream of the target contact switch;
[0035] If a switch device is found, the remote signaling status of the device is further determined. If it is in the closed position, the search continues to the node on the other side. If it is in the open position, the search of the path is terminated and the power supply status of the nodes on both sides is determined. If the nodes on both sides of the open switch are energized and the power supply is inconsistent, it is recorded as the disconnection point of the transfer path;
[0036] If other dual-end devices are found, the search will be conducted directly to the nodes on the other side.
[0037] The above search process is repeated until all paths are searched. The disconnect switch equipment information recorded during the search process is the result of the supply path disconnection point analysis.
[0038] Furthermore, combined with the position change signal of the associated switch, the transfer load transfer amount is calculated, and the normal operation party recovery strategy is analyzed and generated, including:
[0039] The calculation method of the transfer load transfer amount is as follows:
[0040] The historical sampled average value of the transferred feeder load is used for comparison and calculation, including:
[0041]
[0042]
[0043] Among them, ΔP represents the transfer amount of the transfer load; Indicates the historical sampling average value of the transfer feeder load, The average value is calculated by taking the historical sampling data before the transfer occurs. The number of sampling points N corresponding to the average value can be configured according to the actual application requirements; t Indicates the current value of the transfer feeder load.
[0044] Furthermore, it is determined whether the identification conditions for abnormal disconnection are met. If so, an abnormal disconnection event is generated and an alarm prompt message is sent, including:
[0045] The identification conditions of the abnormal disconnection are as follows:
[0046] The nodes on both sides of the distributed distribution network switch are not single topological connection points;
[0047] There is power supply on one and only one side of the nodes on both sides of the distributed distribution network switch.
[0048] Furthermore, for the power point in the closed loop state, the closed loop point is searched downward, including:
[0049] According to the topological connection relationship, search downstream of the power source point in the closed loop state;
[0050] If a switch device is found, the remote signaling status of the device is further determined. If it is in the closed position, the search continues to the node on the other side and the attributes of the switch device are determined. If the closed switch type is a tie switch, it is recorded as a closing point. If it is in the open position, the search for the path is terminated.
[0051] If other dual-end devices are found, the search will be conducted directly to the nodes on the other side.
[0052] Repeat the above search process until the power point on the other side that is in a closed loop state is found and stops. The closed loop point information recorded during the search process is the result of the closed loop point search.
[0053] Based on the same inventive concept, a distribution network abnormal operation mode identification system based on real-time topology analysis of the present invention comprises:
[0054] The abnormal power transfer identification module is used to search for tie switches in the entire network and start analysis for tie switches in the closed position;
[0055] The abnormal power transfer identification module is used to analyze the power supply of the tie switch and the related power transfer path breaking point information in combination with the real-time topology;
[0056] The abnormal transfer identification module is used to determine whether the abnormal transfer identification conditions are met, and if so, generate an abnormal transfer event;
[0057] The abnormal transfer identification module is used to calculate the transfer load transfer amount in combination with the position change signal of the associated switch, and analyze and generate the normal operation party recovery strategy;
[0058] The abnormal disconnection identification module is used to search for distribution network switches in the entire network and start analysis for distribution network switches in disconnection;
[0059] The abnormal disconnection identification module is used to analyze the power supply status information of the nodes on both sides of the switch in combination with the real-time topology;
[0060] The abnormal disconnection identification module is used to determine whether the abnormal disconnection identification conditions are met, and if so, to generate an abnormal disconnection event;
[0061] The abnormal disconnection identification module is used to analyze the downstream associated equipment of the abnormal disconnection switch, form power failure range information, and analyze and generate a power failure recovery strategy;
[0062] Abnormal loop identification module, used to analyze power point information across the entire network in combination with real-time topology;
[0063] The abnormal closed loop identification module is used to search for closed loop points for power supply points in a closed loop state;
[0064] The abnormal closing loop identification module is used to combine the analysis results to form an abnormal closing loop event;
[0065] The abnormal event alarm push module is used to generate and push alarm prompt information based on the generated abnormal power transfer events, abnormal disconnection events, and abnormal loop closing events.
[0066] Based on the same inventive concept, a distribution network abnormal operation mode identification device based on real-time topology analysis of the present invention includes a processor and a memory, wherein the memory stores computer instructions, and the processor is used to execute the computer instructions stored in the memory. When the computer instructions are executed by the processor, the electronic device implements the steps of the above-mentioned distribution network abnormal operation mode identification method based on real-time topology analysis.
[0067] Based on the same inventive concept, a computer-readable storage medium of the present invention stores a computer program thereon, and when the program is executed by a processor, the steps of the above-mentioned method for identifying abnormal operation modes of distribution networks based on real-time topology analysis are implemented.
[0068] Beneficial effects: Compared with the prior art, the significant technical effects of the present invention are:
[0069] The present invention fully relies on the real-time topology and status information of the equipment in the distribution automation system, solves the problem of identifying multiple types of abnormal operation modes in the distribution network and provides alarm prompts, thereby improving the safety and reliability of power supply.
[0070] Accurately identify and warn of abnormal power transfer (abnormal operation mode) in the distribution network, analyze load transfer and provide normal operation recovery solutions to improve the stability of distribution network operation;
[0071] Accurately identify and warn of abnormal disconnection problems in the distribution network, provide power outage recovery solutions, and improve the reliability of distribution network operation;
[0072] Accurately identify and warn of abnormal closing problems in the distribution network, locate the closing points, and improve the safety of distribution network operation. BRIEF DESCRIPTION OF THE DRAWINGS
[0073] Figure 1 A schematic flow chart of a method for identifying abnormal operation modes of a distribution network based on real-time topology analysis disclosed in an embodiment of the present invention;
[0074] Figure 2 A schematic diagram of a flow chart of a power supply analysis method disclosed in an embodiment of the present invention;
[0075] Figure 3 A schematic diagram of a flow chart of a method for analyzing a breakpoint of a transfer path disclosed in an embodiment of the present invention;
[0076] Figure 4 A schematic diagram of a flow chart of a closed loop point search method disclosed in an embodiment of the present invention;
[0077] Figure 5 A schematic diagram of the structure of a distribution network abnormal operation mode identification system based on real-time topology analysis disclosed in an embodiment of the present invention;
[0078] Figure 6 The present invention discloses a structural diagram of a device for identifying abnormal operation mode of a distribution network based on real-time topology analysis in an embodiment of the present invention. DETAILED DESCRIPTION
[0079] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. It will be understood by those skilled in the art that the purposes and advantages that can be achieved with the present invention are not limited to the specific description of the above beneficial effects, and the above and other purposes that can be achieved by the present invention will be more clearly understood based on the following detailed description.
[0080] It should be understood by those skilled in the art that the exemplary components, systems and methods described in conjunction with the embodiments disclosed in the present invention can be implemented in hardware, software or a combination of the two. Whether it is implemented in hardware or software depends on the specific application and design of the technical solution. Professional and technical personnel can use different methods to implement the functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.
[0081] Reference to "embodiments" in the present invention means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.
[0082] Example 1
[0083] See also Figure 1 , Figure 1 The present invention discloses a flow chart of a method for identifying abnormal operation mode of a distribution network based on real-time topology analysis. Figure 1 The described method for identifying abnormal operation modes of a distribution network is applied to a power system, such as for identifying various types of abnormal operation modes in a distribution network, and the embodiments of the present invention do not limit this. Figure 1 As shown, the method for identifying abnormal operation mode of distribution network based on real-time topology analysis may include the following operations:
[0084] S1. Identification of abnormal transfer. Specifically including the following:
[0085] S1.1. Search the tie switches in the entire network and start analysis for the tie switches in the closed position;
[0086] The closed-position contact switch starts the analysis mode, which is carried out in accordance with the daily full system scan, plus the timing switch closed-position change signal scan.
[0087] S1.2. Analyze the power supply of the tie switch and the related transfer path disconnection point information in combination with the real-time topology;
[0088] In this embodiment, the power supply of the contact switch is analyzed, such as Figure 2 As shown, the specific steps are as follows:
[0089] S1.2.1. From any side node of the target contact switch, search towards both sides according to the topological connection relationship;
[0090] S1.2.2. If a switch device is found, further determine the remote signaling status of the device; if it is in the closed position, continue searching for the node on the other side; if it is in the open position, terminate the search for the path;
[0091] S1.2.3. If the search finds other dual-end devices, search directly to the node on the other side;
[0092] S1.2.4. If a power supply device is found, determine its energized state. If it is energized, record it as a power supply.
[0093] Among them, the switch-type equipment mentioned in step S1.2.2 at least includes circuit breakers, knife switches, distribution network switches, and distribution network knife switches; the other two-terminal equipment mentioned in step S1.2.3 at least includes distribution network feeder segments; and the power supply equipment mentioned in step S1.2.4 at least includes transformer low-voltage windings, busbars, and loads.
[0094] In this embodiment, the method for determining the power status of the power supply equipment is as follows:
[0095] Determine the line voltage and phase voltage of power supply equipment. If they meet the requirements, they are energized, including:
[0096]
[0097] Among them, v l_limit_low and v l_limit_high are the upper and lower limits of the line voltage respectively; v p_limit_low and v p_limit_high are the upper and lower limits of the phase voltage respectively; v, v_value_2 and v_value_3 are the line voltage, line voltage 2 and line voltage 3 of the target device respectively; v_a_value, v_b_value and v_c_value are the A phase voltage amplitude, B phase voltage amplitude and C phase voltage amplitude of the target device respectively.
[0098] S1.2.5. Repeat the above search process until the search stops at the energized low-voltage winding device of the transformer, or all paths are searched. The power supply information recorded during the search process is the result of the power supply analysis.
[0099] The algorithms used in the specific implementation of the above topology search method include, but are not limited to, depth-first or breadth-first algorithms.
[0100] The output results of the final power supply information analysis include, but are not limited to, the identification and name of the transformer, the identification and name of the low-voltage winding, the identification and name of the bus, the identification and name of the load, and the identification and name of the feeder.
[0101] In this embodiment, Figure 3As shown in the figure, the associated transfer path breakpoint information is analyzed as follows:
[0102] (1) Search downstream of the target tie switch according to the topological connection relationship;
[0103] (2) If a switch device is found, the remote signaling status of the device is further determined. If it is in the closed position, the search continues to the node on the other side. If it is in the open position, the search of the path is terminated and the power supply status of the nodes on both sides is determined. If the nodes on both sides of the open switch are energized and the power supply is inconsistent, it is recorded as the disconnection point of the transfer path;
[0104] (3) If the search finds other dual-end devices, the search is directly continued to the nodes on the other side;
[0105] (4) Repeat the above search process until all paths are searched. The disconnect switch equipment information recorded during the search process is the result of the disconnection point analysis of the transfer path.
[0106] Among them, the switch type equipment mentioned in step (2) includes at least circuit breakers, knife switches, distribution network switches, and distribution network knife switches, and the other two-terminal equipment mentioned in step (3) includes at least distribution network feeder segments.
[0107] The algorithms used in the specific implementation of the above topology search method include, but are not limited to, depth-first or breadth-first algorithms.
[0108] The output results of the final transfer path disconnect point analysis include but are not limited to the identification and name of the transfer disconnect switch.
[0109] S1.3, determine whether the identification conditions for abnormal power transfer are met, if so, generate an abnormal power transfer event and send an alarm prompt message;
[0110] In this embodiment, the identification conditions of abnormal transfer are as follows:
[0111] (1) The disconnection point of the transfer path searched under the closed-position tie switch exists and is unique;
[0112] (2) The feeder to which the static topology of the equipment within the power supply range downstream of the closed-position tie-switch belongs is different from and unique to the current power supply feeder.
[0113] S1.4. Combined with the position change signal of the associated switch, calculate the transfer load amount and analyze and generate the normal operation recovery strategy.
[0114] In this embodiment, the calculation method of the transfer load transfer amount is as follows:
[0115] The historical sampled average value of the transferred feeder load is used for comparison and calculation, including:
[0116]
[0117]
[0118] Among them, ΔP represents the transfer amount of the transfer load; Indicates the historical sampling average value of the transfer feeder load, The average value is calculated by taking the historical sampling data before the transfer occurs. The number of sampling points N corresponding to the average value can be configured according to the actual application requirements; t Indicates the current value of the transfer feeder load.
[0119] The normal operation party recovery strategy specifically uses the transfer disconnection point in the abnormal transfer event as the closing switch of the normal operation party recovery strategy, and the connecting switch as the opening switch of the normal operation party recovery strategy, and performs load rate and remote control verification on the relevant normal operation party recovery strategy.
[0120] S2. Abnormal disconnection identification. Specifically including the following:
[0121] S2.1. Search the distribution network switches in the entire network and start analysis for the distribution network switches in the distributed position;
[0122] The analysis mode of starting the position distribution network switch is carried out in accordance with the daily full system scan, plus the timing switch position change signal scan.
[0123] S2.2, combined with the real-time topology, analyze the power supply status information of the nodes on both sides of the switch;
[0124] S2.3, determine whether the identification conditions for abnormal disconnection are met, and if so, generate an abnormal disconnection event and send an alarm prompt message;
[0125] In this embodiment, the identification conditions of abnormal disconnection are as follows:
[0126] (1) The nodes on both sides of the distributed distribution network switch are not single topological connection points;
[0127] (2) There is power supply on one and only one side of the nodes on both sides of the distributed distribution network switch.
[0128] S2.4. Analyze the downstream associated equipment of the abnormal disconnecting switch to form power failure range information, and analyze and generate a power failure recovery strategy.
[0129] The power outage scope information analysis includes, but is not limited to, target equipment types including, but not limited to, distribution network loads and distribution network transformers; the power outage scope information analysis results include, but are not limited to, statistical values such as the number of power-outage equipment and the number of important users.
[0130] The power outage recovery strategy specifically uses the abnormal disconnecting switch in the abnormal disconnecting event as the closing switch of the power outage recovery strategy, and performs load factor and remote control verification on the relevant power outage recovery strategy.
[0131] S3, abnormal loop identification. Specifically including the following:
[0132] S3.1. Analyze the power point information in the whole network in combination with the real-time topology;
[0133] The power point information analysis mode is specifically carried out in the manner of a scheduled full system scan.
[0134] S3.2, for the power source point in the closed loop state, search downward for the closed loop point; Figure 4 As shown, the specific steps include:
[0135] S3.2.1. Search downstream of the power source point in a closed loop state according to the topological connection relationship;
[0136] S3.2.2. If a switch device is found, further determine the telesignaling status of the device. If it is in the closed position, continue searching the nodes on the other side and determine the attributes of the switch device. If the closed switch type is a tie switch, record it as a closing point. If it is in the open position, terminate the search for the path.
[0137] S3.2.3. If the search finds other dual-end devices, search directly to the node on the other side;
[0138] S3.2.4. Repeat the above search process until the power point on the other side that is in a closed loop state is found and stops. The closed loop point information recorded during the search process is the result of the closed loop point search.
[0139] The algorithms used in the specific implementation of the above topology search method include, but are not limited to, depth-first or breadth-first algorithms.
[0140] The output results of the final closing point search include but are not limited to the identification and name of the closing point switch, the identification and name of the closing power supply points on both sides, and the identification and name of the upstream feeders on both sides.
[0141] S3.3. Combined with the analysis results, an abnormal closing event is formed and an alarm prompt message is sent.
[0142] Among them, the switch type equipment mentioned in step S3.2.2 at least includes circuit breakers, knife switches, distribution network switches, and distribution network knife switches, and the other two-terminal type equipment mentioned in step S3.2.3 at least includes distribution network feeder segments.
[0143] Example 2
[0144] See also Figure 5 , Figure 5 The present invention discloses a structural diagram of a distribution network abnormal operation mode identification system based on real-time topology analysis, which can identify various types of abnormal operation modes in the distribution network, including:
[0145] The abnormal power transfer identification module is used to search for tie switches in the entire network and start analysis for tie switches in the closed position;
[0146] The abnormal power transfer identification module is used to analyze the power supply of the tie switch and the related power transfer path disconnection point information in combination with the real-time topology;
[0147] The abnormal transfer identification module is used to determine whether the abnormal transfer identification conditions are met. If so, an abnormal transfer event is generated;
[0148] The abnormal transfer identification module is used to calculate the transfer load transfer amount in combination with the position change signal of the associated switch, and analyze and generate the normal operation party recovery strategy;
[0149] The abnormal disconnection identification module is used to search for distribution network switches in the entire network and start analysis for distribution network switches in disconnection;
[0150] Abnormal disconnection identification module, used to analyze the power supply status information of nodes on both sides of the switch in combination with real-time topology;
[0151] The abnormal disconnection identification module is used to determine whether the abnormal disconnection identification conditions are met. If so, an abnormal disconnection event is generated;
[0152] The abnormal disconnection identification module is used to analyze the downstream associated equipment of the abnormal disconnection switch, form power failure range information, and analyze and generate power failure recovery strategies;
[0153] Abnormal loop identification module, used to analyze power point information across the entire network in combination with real-time topology;
[0154] The abnormal closed loop identification module is used to search for closed loop points for power supply points in a closed loop state;
[0155] The abnormal closing loop identification module is used to combine the analysis results to form an abnormal closing loop event;
[0156] The abnormal event alarm push module is used to generate and push alarm prompt information based on the generated abnormal power transfer events, abnormal disconnection events, and abnormal loop closing events.
[0157] In an optional embodiment, the method for identifying abnormal operation modes of distribution networks based on real-time topology analysis includes: a) abnormal transfer identification: retrieving the interconnecting switches in the closed state, analyzing their power supply and disconnection point information in combination with the real-time topology, determining the generation of abnormal transfer events and issuing an alarm, and further analyzing the load transfer amount and the transfer recovery strategy; b) abnormal disconnection identification: retrieving the switches in the disconnected state, analyzing the power supply status of the nodes on both sides of the target switch in combination with the real-time topology, determining the generation of abnormal disconnection events and issuing an alarm, and further analyzing the power failure scope and the power outage recovery strategy; c) abnormal closed loop identification: analyzing the power supply point information of the entire network in combination with the real-time topology, searching downward for the closing points for the power supply points in the closed loop state, determining the generation of abnormal closed loop events and issuing an alarm.
[0158] The distribution network abnormal operation mode identification system based on real-time topology analysis mentioned in this embodiment is generally a computer equipment system with certain computing capabilities, including but not limited to distribution automation master station system, main distribution integration system, and regional new generation dispatching technology support system. In possible implementations, the above abnormal operation mode identification method can be implemented by a processor calling a computer program stored in a memory, and the specific operation mode includes but is not limited to front-end interface operation or background automation operation.
[0159] Example 3
[0160] See also Figure 6 , Figure 6 The present invention discloses a schematic diagram of a device for identifying abnormal operation mode of a distribution network based on real-time topology analysis. Figure 6 The described device can be applied to power systems, such as for identifying various types of abnormal operation modes in a distribution network, and the embodiments of the present invention are not limited thereto.
[0161] like Figure 6 As shown, the device may include a processor and a memory, wherein the memory stores computer instructions, and the processor is used to execute the computer instructions stored in the memory. When the computer instructions are executed by the processor, the electronic device implements the steps of the method described in the above embodiment and can achieve the technical effect consistent with the above method.
[0162] The memory may include computer system readable media in the form of volatile memory, such as random access memory (RAM) and / or cache memory. The device may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the memory may be used to read and write non-removable, non-volatile magnetic media (commonly referred to as a "hard drive"). A program / utility having a set (at least one) of program modules may be stored in, for example, the memory, such program modules including but not limited to an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include the implementation of a network environment. The program modules typically perform the functions and / or methods in the embodiments described herein.
[0163] The processor executes various functional applications and data processing by running the program stored in the memory, such as implementing the method provided in the first embodiment of the present invention.
[0164] Example 4
[0165] Embodiment 4 of the present invention further provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the steps of the method described in the above embodiment are implemented and the technical effect consistent with the above method can be achieved.
[0166] The computer storage medium of the embodiment of the present invention can adopt any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, a device or a device or used in combination with it.
[0167] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.
[0168] The program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
[0169] Computer program code for performing the operation of the present invention may be written in one or more programming languages or combinations thereof, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional procedural programming languages such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).
[0170] Of course, the storage medium containing computer executable instructions provided by an embodiment of the present invention, whose computer executable instructions are not limited to the above method operations, can also execute related operations in the method provided by any embodiment of the present invention.
[0171] The specific embodiments described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.
Claims
1. A method for identifying abnormal operation mode of distribution network based on real-time topology analysis, characterized in that: It includes the identification methods of abnormal power transfer, abnormal disconnection and abnormal closing; among which, The abnormal transfer identification method comprises: Search for tie switches in the entire network and start analysis for tie switches in the closed position; Combined with the real-time topology, analyze the power supply of the tie switch and the related transfer path disconnection point information; Determine whether the identification conditions for abnormal power transfer are met. If so, generate an abnormal power transfer event and send an alarm prompt message; Combined with the position change signal of the associated switch, the transfer load transfer amount is calculated, and the normal operation party recovery strategy is analyzed and generated; The abnormal disconnection identification method comprises: Search for distribution network switches in the entire network, and start analysis for distribution network switches in distributed locations; Combined with the real-time topology, the power supply status information of the nodes on both sides of the switch is analyzed; Determine whether the identification conditions for abnormal disconnection are met. If so, generate an abnormal disconnection event and send an alarm prompt message; Analyze the downstream associated equipment of the abnormal disconnect switch to form power failure range information, and analyze and generate power failure recovery strategies; The abnormal closed loop identification method comprises: Combined with real-time topology, analyze power point information across the entire network; For the power points in the closed loop state, search downwards for the closed loop point; Combined with the analysis results, an abnormal loop event is formed and an alarm prompt message is sent.
2. The method for identifying abnormal operation mode of distribution network based on real-time topology analysis according to claim 1 is characterized in that: Combined with the real-time topology, the power supply of the tie switch and the related transfer path disconnection point information are analyzed, including: From any side node of the target tie switch, search towards both sides according to the topological connection relationship; If a switch device is found, the remote signaling status of the device is further determined; if it is in the closed position, the search continues to the node on the other side; if it is in the open position, the search of the path is terminated; If other dual-end devices are found, the search will be conducted directly to the nodes on the other side. If a power supply device is found, its energized state is determined. If it is energized, it is recorded as a power supply. The above search process is repeated until the search stops at the energized low-voltage winding device of the transformer, or all paths are searched. The power supply information recorded during the search process is the result of the power supply analysis.
3. The method for identifying abnormal operation mode of distribution network based on real-time topology analysis according to claim 2 is characterized in that: If a power supply device is found, its energized state is determined. If it is energized, it is recorded as a power supply, including: Determine the line voltage and phase voltage of power supply equipment. If they meet the requirements, they are energized, including: Among them, v l_limit_low and v l_limit_high are the upper and lower limits of the line voltage respectively; v p_limit_low and v p_limit_high are the upper and lower limits of the phase voltage respectively; v, v_value_2 and v_value_3 are the line voltage, line voltage 2 and line voltage 3 of the target device respectively; v_a_value, v_b_value and v_c_value are the A phase voltage amplitude, B phase voltage amplitude and C phase voltage amplitude of the target device respectively.
4. The method for identifying abnormal operation mode of distribution network based on real-time topology analysis according to claim 1 is characterized in that: Combined with the real-time topology, the power supply of the tie switch and the related transfer path disconnection point information are analyzed, including: According to the topological connection relationship, search downstream of the target contact switch; If a switch device is found, the remote signaling status of the device is further determined. If it is in the closed position, the search continues to the node on the other side. If it is in the open position, the search of the path is terminated and the power supply status of the nodes on both sides is determined. If the nodes on both sides of the open switch are energized and the power supply is inconsistent, it is recorded as the disconnection point of the transfer path; If other dual-end devices are found, the search will be conducted directly to the nodes on the other side. The above search process is repeated until all paths are searched. The disconnect switch equipment information recorded during the search process is the result of the supply path disconnection point analysis.
5. The method for identifying abnormal operation mode of distribution network based on real-time topology analysis according to claim 1 is characterized in that: Combined with the position change signal of the associated switch, the transfer load is calculated, and the normal operation party recovery strategy is analyzed and generated, including: The calculation method of the transfer load transfer amount is as follows: The historical sampled average value of the transferred feeder load is used for comparison and calculation, including: Among them, ΔP represents the transfer amount of the transfer load; Indicates the historical sampling average value of the transfer feeder load, The average value is calculated by taking the average value of the historical sampling data before the transfer occurs. The number of sampling points N corresponding to the average value can be configured according to the actual application requirements; current Indicates the current value of the transfer feeder load.
6. The method for identifying abnormal operation mode of distribution network based on real-time topology analysis according to claim 1 is characterized in that: Determine whether the abnormal disconnection identification conditions are met. If so, generate an abnormal disconnection event and send an alarm prompt message, including: The identification conditions of the abnormal disconnection are as follows: The nodes on both sides of the distributed distribution network switch are not single topological connection points; There is power supply on one and only one side of the nodes on both sides of the distributed distribution network switch.
7. The method for identifying abnormal operation mode of distribution network based on real-time topology analysis according to claim 1 is characterized in that: For power points in a closed loop state, search for closed loop points, including: According to the topological connection relationship, search downstream of the power source point in the closed loop state; If a switch device is found, the remote signaling status of the device is further determined. If it is in the closed position, the search continues to the node on the other side and the attributes of the switch device are determined. If the closed switch type is a tie switch, it is recorded as a closing point. If it is in the open position, the search for the path is terminated. If other dual-end devices are found, the search will be conducted directly to the nodes on the other side. Repeat the above search process until the power point on the other side that is in a closed loop state is found and stops. The closed loop point information recorded during the search process is the result of the closed loop point search.
8. A distribution network abnormal operation mode identification system based on real-time topology analysis, characterized in that: include: The abnormal power transfer identification module is used to search for tie switches in the entire network and start analysis for tie switches in the closed position; The abnormal power transfer identification module is used to analyze the power supply of the tie switch and the related power transfer path breaking point information in combination with the real-time topology; The abnormal transfer identification module is used to determine whether the abnormal transfer identification conditions are met, and if so, generate an abnormal transfer event; The abnormal transfer identification module is used to calculate the transfer load transfer amount in combination with the position change signal of the associated switch, and analyze and generate the normal operation party recovery strategy; The abnormal disconnection identification module is used to search for distribution network switches in the entire network and start analysis for distribution network switches in disconnection; The abnormal disconnection identification module is used to analyze the power supply status information of the nodes on both sides of the switch in combination with the real-time topology; The abnormal disconnection identification module is used to determine whether the abnormal disconnection identification conditions are met, and if so, to generate an abnormal disconnection event; The abnormal disconnection identification module is used to analyze the downstream associated equipment of the abnormal disconnection switch, form power failure range information, and analyze and generate a power failure recovery strategy; Abnormal loop identification module, used to analyze power point information across the entire network in combination with real-time topology; The abnormal closed loop identification module is used to search for closed loop points for power supply points in a closed loop state; The abnormal closing loop identification module is used to combine the analysis results to form an abnormal closing loop event; The abnormal event alarm push module is used to generate and push alarm prompt information based on the generated abnormal power transfer events, abnormal disconnection events, and abnormal loop closing events.
9. A distribution network abnormal operation mode identification device based on real-time topology analysis, characterized in that: The electronic device comprises a processor and a memory, wherein the memory stores computer instructions, and the processor is used to execute the computer instructions stored in the memory. When the computer instructions are executed by the processor, the electronic device implements the steps of the method for identifying abnormal operation mode of distribution network based on real-time topology analysis as described in any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the method for identifying abnormal operation modes of a distribution network based on real-time topology analysis as claimed in any one of claims 1 to 7.
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