Full Coverage of Optimal Phasor Measurement Unit Placement Solutions in Distribution Systems Using Integer Linear Programming

Xuebing Chen; Lu Sun; Tengpeng Chen; Yuhao Sun; Rusli; King  Jet Tseng; Keck  Voon Ling; Weng  Khuen Ho; Gehan  A. J. Amaratunga

doi:10.3390/en12081552

Energies (Apr 2019)

Full Coverage of Optimal Phasor Measurement Unit Placement Solutions in Distribution Systems Using Integer Linear Programming

Xuebing Chen,
Lu Sun,
Tengpeng Chen,
Yuhao Sun,
Rusli,
King Jet Tseng,
Keck Voon Ling,
Weng Khuen Ho,
Gehan A. J. Amaratunga

Affiliations

Xuebing Chen: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore
Lu Sun: Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117576, Singapore
Tengpeng Chen: Department of Instrumental and Electrical Engineering, Xiamen University, Xiamen 361102, China
Yuhao Sun: National Centre for International Research on Photoelectric and Energy Materials, Yunnan University, Kunming 650091, China
Rusli: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore
King Jet Tseng: Department of Engineering, Singapore Institute of Technology, Singapore 138683, Singapore
Keck Voon Ling: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore
Weng Khuen Ho: Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117576, Singapore
Gehan A. J. Amaratunga: National Centre for International Research on Photoelectric and Energy Materials, Yunnan University, Kunming 650091, China

DOI: https://doi.org/10.3390/en12081552
Journal volume & issue: Vol. 12, no. 8
p. 1552

Abstract

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Integer linear programming (ILP) has been widely applied to solve the optimal phasor measurement unit (PMU) placement (OPP) problem for its computational efficiency. Using ILP, a placement with minimum number of Phasor Measurement Units (PMUs) and maximum measurement redundancy can be obtained while ensuring system observability. Author response: please delete this above sentence. However, the existing ILP-based OPP methods does not guarantee full coverage of solutions to the optimization problem, which may sequentially results in suboptimal supervision of the system. In this paper, a hybrid ILP-based method is proposed to cover all solutions to the OPP problem without any omission. Comparing with the existing exhaustive searching methods, the proposed method is more computationally efficient, which makes finding all solutions in a large system a more feasible problem.

Published in Energies

ISSN: 1996-1073 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology
Website: http://www.mdpi.com/journal/energies

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