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本文是对文献［１—２］中提出的不良数据估计识别法的一个新发展。文中提出了避免残差灵敏度矩阵存储的新方法，以及对量测估计进行局部修正的方法。这些结果进一步提高了估计识别法的实时性能，使它更适用于电力系统的实时数据处理。
This paper is a new development of the recognition method of bad data estimation proposed in [1-2]. In this paper, a new method to avoid the storage of residual sensitivity matrix and the method of local correction of measurement and estimation are proposed. These results further improve the real-time performance of the estimation method, making it more suitable for real-time data processing of power system.