Full Coverage of Optimal Phasor Measurement Unit Placement Solutions in Distribution Systems Using Integer Linear Programming
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-04-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/12/8/1552 |
| _version_ | 1811263973269438464 |
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| author | Xuebing Chen Lu Sun Tengpeng Chen Yuhao Sun Rusli King Jet Tseng Keck Voon Ling Weng Khuen Ho Gehan A. J. Amaratunga |
| author_facet | Xuebing Chen Lu Sun Tengpeng Chen Yuhao Sun Rusli King Jet Tseng Keck Voon Ling Weng Khuen Ho Gehan A. J. Amaratunga |
| author_sort | Xuebing Chen |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T19:54:44Z |
| format | Article |
| id | doaj.art-c073dab63c4d4d3b807f0081e059d90c |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-12T19:54:44Z |
| publishDate | 2019-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-c073dab63c4d4d3b807f0081e059d90c2022-12-22T03:18:41ZengMDPI AGEnergies1996-10732019-04-01128155210.3390/en12081552en12081552Full Coverage of Optimal Phasor Measurement Unit Placement Solutions in Distribution Systems Using Integer Linear ProgrammingXuebing Chen0Lu Sun1Tengpeng Chen2Yuhao Sun3Rusli4King Jet Tseng5Keck Voon Ling6Weng Khuen Ho7Gehan A. J. Amaratunga8School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, SingaporeDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore 117576, SingaporeDepartment of Instrumental and Electrical Engineering, Xiamen University, Xiamen 361102, ChinaNational Centre for International Research on Photoelectric and Energy Materials, Yunnan University, Kunming 650091, ChinaSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, SingaporeDepartment of Engineering, Singapore Institute of Technology, Singapore 138683, SingaporeSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, SingaporeDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore 117576, SingaporeNational Centre for International Research on Photoelectric and Energy Materials, Yunnan University, Kunming 650091, ChinaInteger 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.https://www.mdpi.com/1996-1073/12/8/1552distribution system optimizationoptimal PMU placementPMUinteger linear programming |
| spellingShingle | Xuebing Chen Lu Sun Tengpeng Chen Yuhao Sun Rusli King Jet Tseng Keck Voon Ling Weng Khuen Ho Gehan A. J. Amaratunga Full Coverage of Optimal Phasor Measurement Unit Placement Solutions in Distribution Systems Using Integer Linear Programming Energies distribution system optimization optimal PMU placement PMU integer linear programming |
| title | Full Coverage of Optimal Phasor Measurement Unit Placement Solutions in Distribution Systems Using Integer Linear Programming |
| title_full | Full Coverage of Optimal Phasor Measurement Unit Placement Solutions in Distribution Systems Using Integer Linear Programming |
| title_fullStr | Full Coverage of Optimal Phasor Measurement Unit Placement Solutions in Distribution Systems Using Integer Linear Programming |
| title_full_unstemmed | Full Coverage of Optimal Phasor Measurement Unit Placement Solutions in Distribution Systems Using Integer Linear Programming |
| title_short | Full Coverage of Optimal Phasor Measurement Unit Placement Solutions in Distribution Systems Using Integer Linear Programming |
| title_sort | full coverage of optimal phasor measurement unit placement solutions in distribution systems using integer linear programming |
| topic | distribution system optimization optimal PMU placement PMU integer linear programming |
| url | https://www.mdpi.com/1996-1073/12/8/1552 |
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