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Title: Full coverage of optimal phasor measurement unit placement solutions in distribution systems using integer linear programming
Authors: Chen, Xuebing
Sun, Lu
Chen, Tengpeng
Sun, Yuhao
Tseng, King Jet
Ling, Keck Voon
Ho, Weng Khuen
Amaratunga, Gehan A. J.
Keywords: Distribution System Optimization
Optimal PMU Placement
DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: Chen, X., Sun, L., Chen, T., Sun, Y., Rusli, Tseng, K. J., . . . Amaratunga, G. A. J. (2019). Full Coverage of Optimal Phasor Measurement Unit Placement Solutions in Distribution Systems Using Integer Linear Programming. Energies, 12(8), 1552-. doi:10.3390/en12081552
Series/Report no.: Energies
Abstract: 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.
ISSN: 1996-1073
DOI: 10.3390/en12081552
Rights: © 2019 by the Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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