Optimal placement of phasor measurement unit in smart grids considering multiple constraints
The distribution of measurement noise is usually assumed to be Gaussian in the optimal phasor measurement unit (PMU) placement (OPP) problem. However, this is not always accurate in practice. This paper proposes a new OPP method for smart grids in which the effects of conventional measurements, limi...
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sg-ntu-dr.10356-1696632023-12-29T06:49:07Z Optimal placement of phasor measurement unit in smart grids considering multiple constraints Chen, Tengpeng Ren, He Sun, Yuhao Kraft, Markus Amaratunga, Gehan A. J. School of Chemical and Biomedical Engineering Engineering::Chemical engineering Phasor Measurement Unit Smart Grids The distribution of measurement noise is usually assumed to be Gaussian in the optimal phasor measurement unit (PMU) placement (OPP) problem. However, this is not always accurate in practice. This paper proposes a new OPP method for smart grids in which the effects of conventional measurements, limited channels of PMUs, zero-injection buses (ZIBs), single PMU loss contingency, state estimation error (SEE), and the maximum SEE variance (MSEEV) are considered. The SEE and MSEEV are both obtained using a robust $t$-distribution maximum likelihood estimator (MLE) because $t$-distribution is more flexible for modeling both Gaussian and non-Gaussian noises. The A- and G-optimal experimental criteria are utilized to form the SEE and MSEEV constraints. This allows the optimization problem to be converted into a linear objective function subject to linear matrix inequality observability constraints. The performance of the proposed OPP method is verified by the simulations of the IEEE 14-bus, 30-bus, and 118-bus systems as well as the 188-bus practical distribution system in China. National Research Foundation (NRF) Published version This work was supported by the National Natural Science Foundation of Chi‐ na (No. 61903314), Basic Research Program of Science and Technology of Shenzhen, China (No. JCYJ20190809162807421), Natural Science Foundation of Fujian Province (No. 2019J05020), and National Research Foundation, Prime Minister’s Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme. 2023-07-28T05:36:50Z 2023-07-28T05:36:50Z 2023 Journal Article Chen, T., Ren, H., Sun, Y., Kraft, M. & Amaratunga, G. A. J. (2023). Optimal placement of phasor measurement unit in smart grids considering multiple constraints. Journal of Modern Power Systems and Clean Energy, 11(2), 479-488. https://dx.doi.org/10.35833/MPCE.2022.000003 2196-5625 https://hdl.handle.net/10356/169663 10.35833/MPCE.2022.000003 2-s2.0-85151784907 2 11 479 488 en Journal of Modern Power Systems and Clean Energy © 2023 The Author(s). Published by IEEE. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/). application/pdf |
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Engineering::Chemical engineering Phasor Measurement Unit Smart Grids Chen, Tengpeng Ren, He Sun, Yuhao Kraft, Markus Amaratunga, Gehan A. J. Optimal placement of phasor measurement unit in smart grids considering multiple constraints |
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The distribution of measurement noise is usually assumed to be Gaussian in the optimal phasor measurement unit (PMU) placement (OPP) problem. However, this is not always accurate in practice. This paper proposes a new OPP method for smart grids in which the effects of conventional measurements, limited channels of PMUs, zero-injection buses (ZIBs), single PMU loss contingency, state estimation error (SEE), and the maximum SEE variance (MSEEV) are considered. The SEE and MSEEV are both obtained using a robust $t$-distribution maximum likelihood estimator (MLE) because $t$-distribution is more flexible for modeling both Gaussian and non-Gaussian noises. The A- and G-optimal experimental criteria are utilized to form the SEE and MSEEV constraints. This allows the optimization problem to be converted into a linear objective function subject to linear matrix inequality observability constraints. The performance of the proposed OPP method is verified by the simulations of the IEEE 14-bus, 30-bus, and 118-bus systems as well as the 188-bus practical distribution system in China. |
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School of Chemical and Biomedical Engineering |
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School of Chemical and Biomedical Engineering Chen, Tengpeng Ren, He Sun, Yuhao Kraft, Markus Amaratunga, Gehan A. J. |
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Article |
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Chen, Tengpeng Ren, He Sun, Yuhao Kraft, Markus Amaratunga, Gehan A. J. |
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Chen, Tengpeng |
title |
Optimal placement of phasor measurement unit in smart grids considering multiple constraints |
title_short |
Optimal placement of phasor measurement unit in smart grids considering multiple constraints |
title_full |
Optimal placement of phasor measurement unit in smart grids considering multiple constraints |
title_fullStr |
Optimal placement of phasor measurement unit in smart grids considering multiple constraints |
title_full_unstemmed |
Optimal placement of phasor measurement unit in smart grids considering multiple constraints |
title_sort |
optimal placement of phasor measurement unit in smart grids considering multiple constraints |
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2023 |
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https://hdl.handle.net/10356/169663 |
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1787136615836024832 |