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Open AccessArticle

Multi Objective for PMU Placement in Compressed Distribution Network Considering Cost and Accuracy of State Estimation

1
Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
2
Electric Power Research Institute of China Southern Power Grid, Guangzhou 510080, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(7), 1515; https://doi.org/10.3390/app9071515
Received: 26 March 2019 / Revised: 4 April 2019 / Accepted: 10 April 2019 / Published: 11 April 2019
(This article belongs to the Special Issue Energy Management and Smart Grids)
A phasor measurement unit (PMU) can provide phasor measurements to the distribution network to improve observability. Based on pre-configuration and existing measurements, a network compression method is proposed to reduce PMU candidate locations. Taking the minimum number of PMUs and the lowest state estimation error as the objective functions and taking full observability of distribution network as the constraint, a multi objective model of optimal PMU placement (OPP) is proposed. A hybrid state estimator based on supervisory control and data acquisition (SCADA) and PMU measurements is proposed. To reduce the number of PMUs required for full observability, SCADA measurement data are also considered into the constraint by update and equivalent. In addition, a non-dominated sorting genetic algorithm-II (NSGA-II) is applied to solve the model to get the Pareto set. Finally, the optimal solution is selected from the Pareto set by the technique for order preference by similarity to ideal solution (TOPSIS). The effectiveness of the proposed method is verified by IEEE standard bus systems. View Full-Text
Keywords: phasor measurement unit; distribution network; compression; cost; state estimation error; supervisory control and data acquisition; multi objective model phasor measurement unit; distribution network; compression; cost; state estimation error; supervisory control and data acquisition; multi objective model
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Kong, X.; Wang, Y.; Yuan, X.; Yu, L. Multi Objective for PMU Placement in Compressed Distribution Network Considering Cost and Accuracy of State Estimation. Appl. Sci. 2019, 9, 1515.

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