基于改进GSA算法的电网不良数据检测与辨识  

Bad Data Detection and Identification Based On Improved GSA Algorithm in Grid

作　　者：郭艳东[1] 申定辉[1] 

机构地区：[1]华北电力大学电力工程系,河北保定071003

出　　处：《华东电力》2013年第3期542-545,共4页East China Electric Power

摘　　要：基于改进间隙统计算法(GSA),对电力系统的数据进行挖掘,完成电力系统不良数据检测、辨识。以实际电网的实时数据为基础数据和测试数据,采用Matlab编写算法程序,并考虑多种含不良数据的情况进行仿真分析,验证了算法的正确性和有效性。Based on the improved Gap Statistic Algorithm （GSA）, on the power system of the data mining, comple- ting detection, identification of bad data in power system. Based on the actual power system real time data as base da- ta and test data, using Matlah programing algorithm procedures, and considering a variety of bad data of simulation a- nalysis, results show that the algorithm is correct and effective, has certain practical application significance.

关 键 词：不良数据 GSA算法 检测 辨识 

分 类 号：TM744[电气工程—电力系统及自动化]