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Outlier distribution transformer identification method based on maximum mutual information

A distribution transformer and the technology of maximum mutual information, applied in the field of distribution network, can solve problems such as difficulty in ensuring timeliness due to manpower and material resources, difficulty in implementation, time-consuming and laborious implementation, difficulty in ensuring timeliness, etc., to solve the problem of topological relationship confusion and reduce labor costs. Workload, cost-saving effect

Pending Publication Date: 2020-06-26
NANCHANG INST OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Among them, the topological relationship between the 10kV feeder and distribution transformer is a difficult problem currently being studied (line-to-line topology relationship). At present, the identification of the line-to-line topology relationship is mainly based on manual line inspection. Manual line inspection is not only difficult to implement, but also time-consuming. Laborious and difficult to ensure timeliness
It takes a lot of manpower and material resources to inspect the line and the effect is difficult to guarantee timeliness, especially for the urban distribution network, where a large number of underground cables are laid, and it is difficult to implement manual inspection

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  • Outlier distribution transformer identification method based on maximum mutual information
  • Outlier distribution transformer identification method based on maximum mutual information
  • Outlier distribution transformer identification method based on maximum mutual information

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Embodiment Construction

[0037] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention.

[0038] Such as figure 1 and 2 A method for identifying outlier distribution transformers based on maximum mutual information is shown. The specific steps are as follows: Step 1. Extract the voltage time series of n distribution transformers attached to 10kV feeders in the time period T from the power consumption information collection system , a certain period T is any number of days in a certain day, a certain week, or a certain month. Assume that the period T is a certain day, and the data length of the voltage time series is m. data, then the three-phase outlet voltage sequence U derived from the i-th distribution transformer iA , U iB , U iC respectively

[0039] u iA ={U iA (k)|k=1,2,3,...,m}

[0040] u iB ={U iB (k)|k=1,2,3,...,m}

[0041] u iC ={U iC (k)|k=...

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Abstract

The invention discloses an outlier distribution transformer identification method based on maximum mutual information, and the method comprises the specific steps: 1, enabling all distribution transformers under a 10kV feeder line in a power distribution network to be regarded as a cluster, and exporting the outlet voltage time sequence data of all distribution transformers in the cluster from a power utilization collection system of a power marketing department; 2, preprocessing the original data, specifically including integrity calculation, time scale alignment and three-phase voltage balance reduction; 3, performing maximum mutual information coefficient calculation on the preprocessed voltage time series data; 4, drawing a maximum mutual information map; and 5, screening out-of-groupdistribution transformers. According to the invention, outlier distribution transformer identification is carried out on the basis of data of an existing power distribution area power utilization acquisition system, an online data analysis mode is used for replacing an existing manual on-site line patrol investigation mode, the labor cost is greatly reduced, and the problem that the topological relation of a 10kV power distribution network is disordered can be simply and effectively solved in real time.

Description

technical field [0001] The invention belongs to the technical field of distribution networks, and in particular relates to a method for identifying outlier distribution transformers based on maximum mutual information. Background technique [0002] my country's distribution network is characterized by multiple points and wide areas, and frequent transformations, resulting in frequent confusion in its network topology. At the same time, due to the requirements of load balancing, line loss reduction, reliable power supply, and economical operation, it is necessary to adjust the topology of the distribution network in a timely manner, resulting in a dynamic topology of the distribution network. Real-time and accurate network topology is the basis for distribution network to carry out network loss calculation, fault research and judgment, power outage management and other services. State Grid Corporation of China's "Ubiquitous Power Internet of Things Construction Outline" clea...

Claims

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Application Information

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IPC IPC(8): G06F17/12G06F17/17H02J3/00H02J3/26
CPCG06F17/12G06F17/17H02J3/00H02J3/26Y02E40/50
Inventor 康兵王晓虎许志浩丁贵立刘自强尤若欣石润泽王振郑少华汤昊泽
Owner NANCHANG INST OF TECH
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