Topology identification method based on transformer area tail end intelligent perception
A recognition method and intelligent perception technology, applied in the direction of AC network circuits, electrical components, circuit devices, etc., can solve problems such as inability to effectively identify the topology of the station area, low recognition accuracy and success rate, and large discreteness
Active Publication Date: 2020-03-27
ELEFIRST SCI & TECH
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Problems solved by technology
[0002] As far as the applicant knows, the existing topology recognition technology has the problem of low recognition accuracy and success rate, and even a better recognition technology can only reach 65%; currently commonly used topology recognition methods include power line carrier technology and power frequency based The distorted topology identification method, however, the power line carrier technology cannot effectively identify the topology of the station area due to the problem of power carrier signal strings
The topology recognition method based on power frequency distortion adopts wavelet algorithm, which has the problem of large discreteness and unstable recognition
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[0015] see figure 1 , this embodiment provides a topology recognition method based on intelligent perception at the end of the station area, including the following steps,
[0016] Step S1, through carrier self-maintenance, search for meter box nodes and branch box nodes under the own station area;
[0017] Step S2, the concentrator sends a characteristic wave command to each node searched through the carrier wave;
[0018] Step S3, query the identification information of the household transformer in the concentrator, judge whether the meter box node or the branch box node is under the station area, and then query the identification information of the meter box node and the branch box node that each carrier self-maintains, if If no information is found, the node is not under the station area, and the node is eliminated. If there is, the node belongs to the station area.
[0019] Step S4, the concentrator forms a correct topology table according to the nodes under the station...
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A topology identification method based on transformer area tail end intelligent perception comprises the following steps: S1, searching for meter box nodes and branch box nodes under a transformer area through carrier self-maintenance; S2, sending a characteristic wave command to each searched node through carrier waves by a concentrator; S3, inquiring the user transformer identification information in the concentrator, judging whether the meter box node or the branch box node is in the transformer area or not, inquiring the identification information of the meter box node and the branch box node maintained by each carrier, if no information is inquired, determining that the node is not in the transformer area, removing the node, and if so, determining that the node belongs to the transformer area; and S4, forming a correct topological structure table according to the nodes in the transformer area and uploading the topological structure table to the main station by the concentrator. Compared with an existing scheme, the topology identification method based on transformer area tail end intelligent perception has the advantages that the algorithm accuracy and the identification success rate both reach 100%.
Description
technical field [0001] The invention belongs to the technical field of low-voltage power distribution, and in particular relates to a topology recognition method based on intelligent perception at the end of a station area. Background technique [0002] As far as the applicant knows, the existing topology recognition technology has the problem of low recognition accuracy and success rate, and even a better recognition technology can only reach 65%; currently commonly used topology recognition methods include power line carrier technology and power frequency based The distorted topology identification method, however, the power line carrier technology cannot effectively identify the topology of the station area due to the problem that the power carrier signal is connected to the station area. The topology recognition method based on power frequency distortion adopts wavelet algorithm, which has the problem of large discreteness and unstable recognition. Contents of the inve...
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IPC IPC(8): H02J3/00
CPCH02J3/00
Inventor 高巨彭鹏李振国汪梦余李若昕程俊王翔张謇王义辉范杰吴前进
Owner ELEFIRST SCI & TECH