Power Quality Disturbance Identification and Optimization Based on Machine Learning

  • Fei Long State Grid Information & Communication Branch of Hubei Electric Power Co., Ltd, Wuhan 430077, China
  • Fen Liu State Grid Information & Communication Branch of Hubei Electric Power Co., Ltd, Wuhan 430077, China
  • Xiangli Peng Hubei Central China Technology Development of Electric Power Co., Ltd, Wuhan 430000, China
  • Zheng Yu State Grid Information & Communication Branch of Hubei Electric Power Co., Ltd, Wuhan 430077, China
  • Huan Xu State Grid Information & Communication Branch of Hubei Electric Power Co., Ltd, Wuhan 430077, China
  • Jing Li State grid Hubei Electric Power Co., Ltd, Wuhan 430070, China
Keywords: power quality disturbance, deep learning, convolutional neural network

Abstract

In order to improve the electrical quality disturbance recognition ability of the neural network, this paper studies a depth learning-based power quality disturbance recognition and classification method: constructing a power quality perturbation model, generating training set; construct depth neural network; profit training set to depth neural network training; verify the performance of the depth neural network; the results show that the training set is randomly added 20DB-50DB noise, even in the most serious 20dB noise conditions, it can reach more than 99% identification, this is a tradition. The method is impossible to implement. Conclusion: the deepest learning-based power quality disturbance identification and classification method overcomes the disadvantage of the selection steps of artificial characteristics, poor robustness, which is beneficial to more accurately and quickly discover the category of power quality issues.

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Author Biographies

Fei Long, State Grid Information & Communication Branch of Hubei Electric Power Co., Ltd, Wuhan 430077, China

Fei Long, born in Wuhan, Hubei Province in December 1983, graduated from Wuhan University of science and technology, obtained a master’s degree in computer software, power informatization and database technology, and a senior engineer of State Grid Information & Communication Branch of Hubei Electric Power Co., Ltd.

Fen Liu, State Grid Information & Communication Branch of Hubei Electric Power Co., Ltd, Wuhan 430077, China

Fen Liu, born in March 1987 in Wuhan, Hubei Province, graduated from Wuhan University of science and technology with a master’s degree in computer software and database technology, and a senior engineer of State Grid Information & Communication Branch of Hubei Electric Power Co., Ltd.

Xiangli Peng, Hubei Central China Technology Development of Electric Power Co., Ltd, Wuhan 430000, China

Xiangli Peng, lives in Wuhan, Hubei Province, was born in October 1979. He graduated from Huazhong University of science and technology with a master’s degree and a senior engineer. His main research direction is computer software and database technology. At present, he works in Hubei Central China Technology Development of Electric Power Co., Ltd.

Zheng Yu, State Grid Information & Communication Branch of Hubei Electric Power Co., Ltd, Wuhan 430077, China

Zheng Yu, born in Wuhan, Hubei Province in December 1984, holds a master’s degree and is a senior engineer. He graduated from Huazhong University of science and technology. His main research interests are computer software, pattern recognition and intelligent system, he works in State Grid Information & Communication Branch of Hubei Electric Power Co., Ltd.

Huan Xu, State Grid Information & Communication Branch of Hubei Electric Power Co., Ltd, Wuhan 430077, China

Xu Huan, born in January 1981, graduated from Huazhong University of science and technology with a master’s degree and a senior engineer. His main research interests are computer software and database technology, he works in State Grid Information & Communication Branch of Hubei Electric Power Co., Ltd.

Jing Li, State grid Hubei Electric Power Co., Ltd, Wuhan 430070, China

Jing Li, live in in Wuhan in Hubei Province, born in November 1984, graduated from the school of computer software and information security of Wuhan University of science and technology, with a doctor’s degree and a senior engineer, he works in State grid Hubei Electric Power Co., Ltd.

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Published
2021-10-21
Section
Renewable Power and Energy Systems