Branch-estimation-based state estimation for radial distribution systems

Abstract

This paper presents a new state estimation method for radial distribution systems, which can handle ail kinds of real-time measurements. In contrast to traditional weighted-least-square (WLS) method, the novel idea of this algorithm is to decompose the WLS problem of whole system into a series of WLS sub-problems and each sub-problem is to deal with only single branch state estimation. This approach can be implemented in forward/backward sweep schema for radial distribution systems and does not need the sparse matrix technique. Test results of a large-scale practical distribution system in China show the proposed method is both valid and efficient.