A Branch-Estimation-Based State Estimation Method for Radial Distribution Systems

Abstract

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