东北电力技术2016，Vol.37Issue(5)：56-59,4.
基于粒子群算法的异常用电检测方法
Study on Abnormal Electricity Utilization Detection Method Based on P SO Algorithm
摘要
Abstract
Stealing power acts seriously endanger the regular operation of power grid and damage the interests of national and electrical enterprise. According to the shortages of the existing methods to abnormal electricity utilization detection, this paper proposes a new method based on PSO algorithm to solve this problem. On the basis of customers'historic load data, PSO algorithm is chosen to extract the load pattern curve of customers'which are in the same business and the load pattern curve of customers'historic load data. Accord⁃ing to different characteristics of the matching between customers'detection⁃day load curve and the above mentioned load pattern, dif⁃ferent pre⁃process methods of load data mode and pattern matching evaluation methods are used. this studies show that the new method can successfully detect the abnormal electricity utilization situation and verify the effectiveness of the mode.关键词
异常用电检测/粒子群算法/负荷模式/模式匹配Key words
Abnormal electricity utilization detection/PSO algorithm/Load pattern/Pattern matching分类
计算机与自动化引用本文复制引用
卢海明,郭壮志..基于粒子群算法的异常用电检测方法[J].东北电力技术,2016,37(5):56-59,4.基金项目
广东省自然科学基金（S2013040013776， S2012040007911）；广东省教育厅育苗工程项目 （）
