Dynamic state estimation solution with optimal allocation of PMUs in presence of load changes

Abstract

This paper presents a new Binary Integer Linear Programming (BILP) approach considering modeling of zero injection constraints for optimal allocation of PMUs in the network and to generate dynamic state estimation solution in presence of load changes. Zero injection bus constraint modeling is considered to minimize the number of PMUs in the system. To find the dynamic behavior of power system in presence of load changes, a dynamic state estimation method integrating PMU and conventional measurements is proposed. The proposed dynamic state estimation method with optimal PMU allocations is compared with traditional Weighted Least Squares (WLS) state estimation method in presence of load changes. MATLAB simulations carried out on IEEE 14, 30, 57 and 118 bus systems and their results show the effectiveness of proposed method.