Stochastic optimal allocation of PMUs for improving the accuracy of state estimation

In this paper, a new method is proposed for the optimal allocation of Phasor Measurement Units (PMUs) in power system state estimation. They play an important role to provide more accurate measurements with state estimation. This paper focuses on the improvement of the estimates accuracy with them. In practice, it is of main concern how to optimize the allocation for a set of power system conditions. The proposed method makes use of Evolutionary Particle Swarm Optimization (EPSO) to determine the optimal allocation of PMUs. In practice, the optimal allocation is dependent upon the power system conditions. To overcome the problem, this paper introduces Monte Carlo Simulation (MCS) in consideration of the nodal correlation. Specifically, Moment Matching Method is used to evaluate the optimal allocation efficiently. The effectiveness of the proposed method is demonstrated in the IEEE 30-node power system.