计算机工程与应用Issue(8)：255-259,5.DOI:10.3778/j.issn.1002-8331.1205-0231
一种实用的高压配电网不良数据处理方法
Practical method of high voltage distribution network bad data processing
摘要
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.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Key words
high voltage distribution network/bad data/boolean variable telemetry/back/forward sweep method/im-proved genetic algorithm/weighted average trend分类
信息技术与安全科学引用本文复制引用
周小宝,罗滇生,毛田,康童,徐振超,尚寿军..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,(8):255-259,5.基金项目
湖南省自然科学基金委员会与衡阳市政府自然科学联合基金资助（No.11JJ8003）。 （）
