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- W2393638126 abstract "To improve the accuracy of dynamic state estimation, the discrete particle swarm optimization (DPSO) algorithm is adopted to optimize the placement of phasor measurement unit (PMU). This method can overcome the defects of traditional analytical optimization methods: they are hard to suit the conditions of discontinuous objective function and disconnected constrained domain. At the same time, the quantities measured by PMU can fully give play to maximum advantage while limited PMUs are placed. The dynamic state estimation model based on extended Kalman filter theory is simulated. It is proved by simulation results that comparing with random placement of PMU, the proposed PMU placement optimized by DPSO can utilize the measurement information with high accuracy as much as possible and the advantage of measurement by PMU can be fully developed, thus the accuracy of dynamic state estimation can be evidently improved." @default.
- W2393638126 created "2016-06-24" @default.
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- W2393638126 date "2006-01-01" @default.
- W2393638126 modified "2023-09-24" @default.
- W2393638126 title "Discrete Particle Swarm Optimization Algorithm for Phasor Measurement Unit Placement in Dynamic State Estimation" @default.
- W2393638126 hasPublicationYear "2006" @default.
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