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• W2789664441 abstract "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." @default.
• W2789664441 created "2018-03-29" @default.
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• W2789664441 date "2018-01-01" @default.
• W2789664441 modified "2023-10-16" @default.
• W2789664441 title "Application of Moment Matching Method to Optimal Allocation of PMUs in State Estimation" @default.
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• W2789664441 doi "https://doi.org/10.1541/ieejpes.138.124" @default.
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