A branch-estimation-based state estimation method for radial distribution systems

This paper presents a new branch-based state estimation method which 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 WLS problem of a whole system into a series of WLS subproblems and each subproblem will 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.