CUED Publications database

Hybrid approach based on global search algorithm for optimal placement of μPMU in distribution networks

Chen, X and Chen, T and Tseng, KJ and Sun, Y and Amaratunga, G (2016) Hybrid approach based on global search algorithm for optimal placement of μPMU in distribution networks. In: UNSPECIFIED pp. 559-563..

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Abstract

© 2016 IEEE. Phasor Measurement Units have been applied on power system to improve the performance of power system state estimator for decades. As it is not practical to install one PMU at every bus in a power system due to its high cost, plenty of research focus on solving the optimal PMU placement (OPP) problem which is to determine a placement with minimum number of PMUs while ensuring network's observability. Since PMUs are mostly employed within transmission networks, most of the OPP algorithms are also designed for transmission networks. In recent years, distribution networks are evolving from passive to active because of increasing application of distribution energy resources, which raises the desire of more continuous monitoring of distribution networks. Traditional PMUs cannot be employed in distribution networks due to economic and technical constraints. The advent of μPMU makes it possible to employ phasor measurement devices in distribution networks. It is anticipated that distribution networks will be employed with μPMU in near future. This paper proposed a hybrid approach based on global search algorithm to solve the OPP problem in distribution networks. The drawback of global search method that consuming extensive computational time is overcome in this method by some preprocessing steps. Several IEEE distribution test feeders are used to examine the proposed placement method, and the results shows this placement approach is able to give the optimal solution while keeping the computational time in acceptance range.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Subjects: UNSPECIFIED
Divisions: Div B > Electronics, Power & Energy Conversion
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:16
Last Modified: 15 Aug 2017 01:26
DOI: