摘要
电力系统中异常数据的存在会很大程度上降低系统状态估计准确度及状态估计收敛速率。介绍了电力系统异常数据产生的原因及不良影响,根据传统与非传统的分类方法分别介绍了多种电力系统异常数据检测辨识方法,同时还分析了各种方法的优缺点。最后,展望了该方向值得继续学习的新方法。
Power system bad data can reduce the accuracy and convergence efficiency of state estimation largely.This paper first introduces the causes and the negative effects of power system bad data.Then,recommends the power system bad data detection and identification methods according to whether they belong to conventional or unconventional methods,and the advantages and disadvantages of various methods are also analyzed.Finally,the new methods are expected to further this research.
出处
《电力与能源》
2015年第6期813-817,共5页
Power & Energy
基金
国家自然科学基金项目(71271165)
国家电网公司科技项目~~
关键词
电力系统
异常数据
检测辨识
传统方法
非传统方法
power system
bad data
detection and identification
nonconventional methods
unconventional methods
