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Optimal allocation of phasor measurement unit for full observability of the connected power network
Affiliation:1. Department of Energy Management and Power System Operation, University of Kassel, Wilhelmshöher Allee 71 - 73, 34121 Kassel, Germany;2. Fraunhofer Institute for Wind Energy and Energy System Technology, Königstor 59, 34119 Kassel, Germany;1. Department of Electrical Engineering, University of Birjand, Birjand, Iran;2. Department of Electrical Engineering, Semnan University, Semnan, Iran;1. Electrical Engineering Department, Faculty of Engineering, Menoufiya University, Shebin El-Kom 32511, Egypt;2. Electrical Engineering Department, Faculty of Engineering, Kafrelsheikh University, Kafrelsheikh 33511, Egypt;1. Department of Electrical Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran;2. Electrical and Computer Engineering Department, Semnan University, Semnan, Iran
Abstract:This paper presents binary particle swarm optimization (BPSO) technique for the optimal allocation of phasor measurement units (PMUs) for the entire observability of connected power network. Phasor measurement units are considered as one of the most important measuring devices in the prospect of connected power network. PMUs function may be incorporated to the wide-area connected power networks for monitoring and controlling purposes. The optimal PMU placement (OPP) problem provides reference to the assurance of the minimal number of PMUs and their analogous locations for observability of the entire connected power networks. Binary particle swarm optimization (BPSO) algorithm is developed for the solution of OPP problem. The efficacy and robustness of the proposed method has been tested on the IEEE 14-bus, IEEE 30-bus, New England 39-bus, IEEE 57-bus, IEEE 118-bus and Northern Regional Power Grid (NRPG) 246-bus test system. The results obtained by proposed approach are compared with other standard methods and it is observed that this BPSO based placement of phasor measurement units is found to be the best among all other techniques discussed.
Keywords:Optimal PMU placement  Phasor measurement unit  Power system observability  Particle swarm optimization
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