STUDY ON ADAPTIVE SINGLE-PHASE RECLOSURE BASED ON THE BP NEURAL NETWORK METHOD

CHEN Jing-hua; CHEN Shao-hua; YANG Yi-ming

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STUDY ON ADAPTIVE SINGLE-PHASE RECLOSURE BASED ON THE BP NEURAL NETWORK METHOD

更新时间：2025-04-26

- STUDY ON ADAPTIVE SINGLE-PHASE RECLOSURE BASED ON THE BP NEURAL NETWORK METHOD
- High VoltageApparatus Issue 4, Pages: 43-45(2003)
- 作者机构：
  
  1. 广东工业大学自动化学院
  2. 广东工业大学自动化学院广东广州510090
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM762;TP183
- Published：2003
- 稿件说明：
移动端阅览
[1]陈璟华,陈少华,杨宜明.基于BP神经网络的自适应单相重合闸研究[J].高压电器,2003(04):43-45.

CHEN Jing-hua, CHEN Shao-hua, YANG Yi-ming. STUDY ON ADAPTIVE SINGLE-PHASE RECLOSURE BASED ON THE BP NEURAL NETWORK METHOD[J]. High voltageapparatus, 2003, (4): 43-45.
[1]陈璟华,陈少华,杨宜明.基于BP神经网络的自适应单相重合闸研究[J].高压电器,2003(04):43-45. DOI：

CHEN Jing-hua, CHEN Shao-hua, YANG Yi-ming. STUDY ON ADAPTIVE SINGLE-PHASE RECLOSURE BASED ON THE BP NEURAL NETWORK METHOD[J]. High voltageapparatus, 2003, (4): 43-45. DOI：

摘要

针对传统自适应重合闸存在的缺陷

提出了基于人工神经网络的自适应重合闸方法

并设计了一个3层BP神经网络

利用EMTP进行仿真计算

仿真结果表明

该网络具有较好的识别性能。

Abstract

Aiming at the limitation of traditional adaptive reclosure

a neural network-based method has been proposed and a three-layer BP neural network has been designed.The results of simulation with EMTP show that the neural network has good performance.

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