Practical method of high voltage distribution network bad data processing

Computer Engineering and Applications ›› 2014, Vol. 50 ›› Issue (8): 255-259.

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Practical method of high voltage distribution network bad data processing

ZHOU Xiaobao1, LUO Diansheng1, MAO Tian1, KANG Tong1, XU Zhenchao1, SHANG Shoujun2

1.College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
2.Hunan HDHL Electric & Information TECH CO., LTD, Changsha 410082, China

Online:2014-04-15 Published:2014-05-30

一种实用的高压配电网不良数据处理方法

周小宝1，罗滇生1，毛田1，康童1，徐振超1，尚寿军2

1.湖南大学电气与信息工程学院，长沙 410082
2.湖南湖大华龙电气与信息技术有限公司，长沙 410082

Abstract

Abstract: A practical method for?bad data?processing of?high voltage distribution network is proposed, aiming at meeting the?practical?need?of?high voltage distribution network. This method, considering?the?observability and radiation?of?high voltage?distribution network sufficiently, uses?the technique?of data?mining to?detect and identify bad?data?and gets?weighted
estimates applying back/forward sweep power flow method combined with improved genetic algorithm. The effectiveness of this method is proved by practical application in?a?grid?scheduling system of a city.

Key words: high voltage distribution network, bad data, boolean variable telemetry, back/forward sweep method, improved genetic algorithm, weighted average trend

摘要： 为满足高压配电网不良数据处理实用化的需求，提出一种针对高压配网不良数据处理的实用方法。该方法充分考虑高压配网的可观测性与辐射性，采用数据挖掘技术对坏数据进行检测与辨识，并综合利用前推回代潮流法与改进遗传算法获得加权估计值。该方法已在某市的调度系统中得到实际应用，表明了其有效性。

关键词: 高压配电网, 不良数据, 遥测布尔变量, 前推回代法, 改进遗传算法, 加权平均潮流

ZHOU Xiaobao1, LUO Diansheng1, MAO Tian1, KANG Tong1, XU Zhenchao1, SHANG Shoujun2. Practical method of high voltage distribution network bad data processing[J]. Computer Engineering and Applications, 2014, 50(8): 255-259.

周小宝1，罗滇生1，毛田1，康童1，徐振超1，尚寿军2. 一种实用的高压配电网不良数据处理方法[J]. 计算机工程与应用, 2014, 50(8): 255-259.

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Practical method of high voltage distribution network bad data processing

一种实用的高压配电网不良数据处理方法

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