A Hybrid Method of PTS and WLAV for State Estimation Including Network Topology Identification

Abstract

This paper proposes a new method for identifying network topology in power system state estimation. Network topology identification is important to carry out state estimation appropriately. The mathematical formulation may be expressed as a mixed integer optimization problem that has state variables in continuous number and network topology in binary number. To solve it, this paper makes use of parallel tabu search (PTS) and the weighted least absolute value (WLAV) state estimator. The former is used to solve a combinatorial optimization problem efficiently. The latter gives a reliable estimate with the robust model criterion. The proposed method is tested in the IEEE 14-node and IEEE 118-node systems.