Multi-Objective Optimal Placement of PMU in Distribution Networks Based on Entropy Weight Ideal Ranking Method
Synchronous phasor measurement unit(PMU)of distribution networks provides high-precision measurement data with time scale,and the characteristics of high accuracy and real-time based on linear state estimation of distribution network PMU can meet the requirements of new distribution networks.This paper focuses on the trade-off relationship between PMU configuration cost and PMU state estimation performance based on distribution networks,and puts forward a multi-objective PMU optimal configuration method based on NSGA-Ⅱ and entropy weight ideal ranking method.The objective function of PMU optimal configuration serves to minimize PMU placement cost and minimize PMU state estimation accuracy,and the constraint condition considers the interruption of PMU due to accidents to deal with the problem of insufficient measurement caused by faults.Based on NSGA-Ⅱ algorithm and entropy-weighted ideal ranking method,the optimal solution to balance the multi-objectives is selected from Pareto solution set.An example shows that the proposed algorithm can get the optimal solution to balance the PMU placement cost and state estimation accuracy.
distribution networkoptimal placement of PMUNSGA-Ⅱstate estimationentropy weight ideal ranking method
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