电力系统状态估计的混合不良数据检测方法

针对状态估计不良数据检测的实用化要求，结合现有两类基本检测方法的优点，并考虑相关量测量之间相相互校核的特点，提出了可根据网络结构和负荷变化正确选择适合于当时运行状态的检测方法的判别原则和算法。此方法避免了现有两类基本检测方法的缺点，提出了自动选择检测方法的基本判据，满足了系统实际运行中的要求，尽可能地降低了误检和漏检的概率。

A HYBRID APPROACH FOR DETECTION OF BAD DATA IN POWER SYSTEM STATE ESTIMATION

According to the practical requirement for bad data detection in st ate estimation, combining the merits of two existing basic detection methods and considering the feature that the measurement among correlating data can be mutu ally checked, the judging rules and algorithm are presented. They can choose a p roper detection method to suit the current operating state according to network structure and load variation. This method avoids the defects of two existing det ection methods, puts forward the basic criterion for automatic selection of dete ction method and satisfies the requirement of practical operation of power syste m. Using the proposed method the probability of wrong detection or missing detec tion is reduced as much as possible.