状態推定におけるPMU最適配置へのモーメントマッチング法の応用

抄録

In this paper, a new method is proposed for the optimal allocation of PMUs (Phasor Measurement Units) in power system state estimation. They play an important role to provide more accurate measurements with state estimation. 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 EPSO (Evolutionary Particle Swarm Optimization) to determine the optimal allocation of PMUs from a standpoint of estimates accuracy. In practice, the optimal allocation is dependent upon the power system conditions. To overcome the problem, this paper introduces MCS (Monte Carlo Simulation) in consideration of the nodal correlation. Specifically, the 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.