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dc.contributor.authorChen, Xuebingen
dc.contributor.authorSun, Luen
dc.contributor.authorChen, Tengpengen
dc.contributor.authorSun, Yuhaoen
dc.contributor.authorTseng, King Jeten
dc.contributor.authorLing, Keck Voonen
dc.contributor.authorHo, Weng Khuenen
dc.contributor.authorAmaratunga, Gehan A. J.en
dc.identifier.citationChen, 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/en12081552en
dc.description.abstractInteger 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.en
dc.description.sponsorshipNRF (Natl Research Foundation, S’pore)en
dc.format.extent19 p.en
dc.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 (
dc.subjectDistribution System Optimizationen
dc.subjectOptimal PMU Placementen
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen
dc.titleFull coverage of optimal phasor measurement unit placement solutions in distribution systems using integer linear programmingen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.description.versionPublished versionen
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