Distribution network topology verification method based on k-nearest neighbor classification algorithm

A distribution network topology and nearest neighbor classification technology, applied in the direction of calculation, computer components, instruments, etc., can solve the problems of high labor cost, poor operability, and insufficient accuracy, and achieve low material and labor costs and high accuracy High performance and good operability

Active Publication Date: 2017-10-03
STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST +2
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Problems solved by technology

[0005] In view of this, the purpose of the present invention is to address the deficiencies of the prior art and provide a distribution network topology verification method based on the k-nearest neighbor classification algorithm to solve the problem of high labor costs and insufficient accuracy of the existing verification methods , the problem of poor operability

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  • Distribution network topology verification method based on k-nearest neighbor classification algorithm
  • Distribution network topology verification method based on k-nearest neighbor classification algorithm
  • Distribution network topology verification method based on k-nearest neighbor classification algorithm

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Embodiment 1

[0038] This embodiment provides a distribution network topology verification method based on the k-nearest neighbor classification algorithm, including the following steps:

[0039] (1) Obtain other users in the station area where the verification user is located and all users in its adjacent station areas to form a verification user training sample set. Among them, the adjacent station area is searched based on the distance between the transformer of the verified user station area and the transformers of other station areas in the area.

[0040]The State Grid Corporation of China's enterprise standard "Technical Guidelines for Distribution Network Planning and Design" clearly states that 220 / 380V lines should have a clear power supply range. The power supply radius of Class A areas should not exceed 150 meters, Class B should not exceed 250 meters, and Class C should not exceed 400 meters. Meters, category D should not exceed 500 meters. refer to figure 2 , the distance be...

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Abstract

The invention discloses a distribution network topology verification method based on the k-nearest neighbor classification algorithm, which includes the following steps: (1) Obtain other users in the station area where the verification user is located and all users in its adjacent station areas to form a verification user Training sample set; (2) Extract the voltage curve data of the verification user and all users of the training sample set in the most recent period; (3) Calculate the similarity of the voltage curve between the verification user and each user of the training sample set; (4 ) Select the k nearest neighbors of the verification user based on the similarity, calculate the correct station type of the verification user, and then judge whether the distribution network topology of the verification user is correct. The invention can effectively verify the correctness of the topological structure data of the power distribution network in the GIS platform of the power grid, and has low material and labor costs, high accuracy and good operability.

Description

technical field [0001] The invention relates to the field of distribution network topology verification methods, in particular to a distribution network topology verification method based on a k-nearest neighbor classification algorithm. Background technique [0002] Power grid companies usually use the grid GIS platform to maintain the topological structure data of distribution network equipment, mainly including the connection relationship between power users and transformers in the station area, and the connection relationship between transformers in the station area and feeders. The topological structure of the distribution network plays an important role in 95598 customer repair and positioning, distribution network fault research and judgment, and power outage plan optimization management. At present, there are a large number of errors or deletions in the distribution network topology data of the power grid GIS platform, which is inconsistent with the actual topology s...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06Q50/06
CPCG06Q50/06G06F18/24147
Inventor 耿俊成张小斐郭志民杨磊吴博袁少光郭祥富万迪明平燕娜刘枫琪王敏
Owner STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST
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