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Probabilistic Multistage PMU Placement in Electric Power Systems
This paper presents an optimization model for the calculation of the minimum number of phasor measurement units (PMUs) in electrical power networks. The problem constraint is a predefined probability of observability associated with each bus. The mixed-integer programming is used for the proposed op...
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Published in: | IEEE transactions on power delivery 2011-04, Vol.26 (2), p.841-849 |
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creator | Aminifar, F Fotuhi-Firuzabad, M Shahidehpour, M Khodaei, A |
description | This paper presents an optimization model for the calculation of the minimum number of phasor measurement units (PMUs) in electrical power networks. The problem constraint is a predefined probability of observability associated with each bus. The mixed-integer programming is used for the proposed optimization and an efficient linearization technique is proposed to convert the nonlinear function representing the probability of observability into a set of linear expressions. The PMU placement is staged in a multi-year planning horizon due to financial and physical constraints. The average probability of observability is maximized at the intermediate planning stages, subject to a limited number of PMU placements, that would satisfy the horizon year schedule. In addition, network expansion scenarios associated with intermediate stages are taken into account. Numerical studies are conducted on a nine-bus system and the IEEE 57-bus system and the results are analyzed. |
doi_str_mv | 10.1109/TPWRD.2010.2090907 |
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The problem constraint is a predefined probability of observability associated with each bus. The mixed-integer programming is used for the proposed optimization and an efficient linearization technique is proposed to convert the nonlinear function representing the probability of observability into a set of linear expressions. The PMU placement is staged in a multi-year planning horizon due to financial and physical constraints. The average probability of observability is maximized at the intermediate planning stages, subject to a limited number of PMU placements, that would satisfy the horizon year schedule. In addition, network expansion scenarios associated with intermediate stages are taken into account. 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The problem constraint is a predefined probability of observability associated with each bus. The mixed-integer programming is used for the proposed optimization and an efficient linearization technique is proposed to convert the nonlinear function representing the probability of observability into a set of linear expressions. The PMU placement is staged in a multi-year planning horizon due to financial and physical constraints. The average probability of observability is maximized at the intermediate planning stages, subject to a limited number of PMU placements, that would satisfy the horizon year schedule. In addition, network expansion scenarios associated with intermediate stages are taken into account. Numerical studies are conducted on a nine-bus system and the IEEE 57-bus system and the results are analyzed.</description><subject>Applied sciences</subject><subject>Availability</subject><subject>Buses (vehicles)</subject><subject>Electric power generation</subject><subject>Electrical engineering. Electrical power engineering</subject><subject>Electrical power engineering</subject><subject>Exact sciences and technology</subject><subject>Horizon</subject><subject>Indexes</subject><subject>Mathematical models</subject><subject>Miscellaneous</subject><subject>Mixed-integer programming (MIP)</subject><subject>Networks</subject><subject>Nonlinearity</subject><subject>Observability</subject><subject>Operation. Load control. Reliability</subject><subject>optimal placement of phasor measurement units</subject><subject>Optimization</subject><subject>Phasor measurement units</subject><subject>Placement</subject><subject>Power networks and lines</subject><subject>Power transmission lines</subject><subject>Probabilistic logic</subject><subject>probabilistic observability</subject><subject>Staged</subject><subject>Studies</subject><subject>Transmission line measurements</subject><issn>0885-8977</issn><issn>1937-4208</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNpdkUtLw0AQxxdRsFa_gF6CIJ5S95Hs46bU-oAWg7Z4XDabiaSkSd1NkH57t7b04MxhZpjfDMN_ELokeEQIVnfz7PP9cURxqClWwcURGhDFRJxQLI_RAEuZxlIJcYrOvF9ijJNADdB95trc5FVd-a6y0ayvu5CZL4iy2SLKamNhBU0XVU00qcF2LkBZ-wMu-tj4Dlb-HJ2UpvZwsY9DtHiazMcv8fTt-XX8MI0tS3kXG0ETTG2BKS9yxogscwyQplRwSDkj2OaFoJLiUpGiZFRyEIQzYYhRPGeWDdHtbu_atd89-E6vKm-hrk0Dbe-15EpSyYIN0fU_ctn2rgnHaZnKhLBwSYDoDrKu9d5BqdeuWhm30QTrraT6T1K9lVTvJQ1DN_vNxltTl840tvKHSZpKlTC-5a52XAUAh3bKeXgIZr9DKH2a</recordid><startdate>20110401</startdate><enddate>20110401</enddate><creator>Aminifar, F</creator><creator>Fotuhi-Firuzabad, M</creator><creator>Shahidehpour, M</creator><creator>Khodaei, A</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Electrical power engineering</topic><topic>Electrical power engineering</topic><topic>Exact sciences and technology</topic><topic>Horizon</topic><topic>Indexes</topic><topic>Mathematical models</topic><topic>Miscellaneous</topic><topic>Mixed-integer programming (MIP)</topic><topic>Networks</topic><topic>Nonlinearity</topic><topic>Observability</topic><topic>Operation. Load control. Reliability</topic><topic>optimal placement of phasor measurement units</topic><topic>Optimization</topic><topic>Phasor measurement units</topic><topic>Placement</topic><topic>Power networks and lines</topic><topic>Power transmission lines</topic><topic>Probabilistic logic</topic><topic>probabilistic observability</topic><topic>Staged</topic><topic>Studies</topic><topic>Transmission line measurements</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aminifar, F</creatorcontrib><creatorcontrib>Fotuhi-Firuzabad, M</creatorcontrib><creatorcontrib>Shahidehpour, M</creatorcontrib><creatorcontrib>Khodaei, A</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Xplore (Online service)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><jtitle>IEEE transactions on power delivery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aminifar, F</au><au>Fotuhi-Firuzabad, M</au><au>Shahidehpour, M</au><au>Khodaei, A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Probabilistic Multistage PMU Placement in Electric Power Systems</atitle><jtitle>IEEE transactions on power delivery</jtitle><stitle>TPWRD</stitle><date>2011-04-01</date><risdate>2011</risdate><volume>26</volume><issue>2</issue><spage>841</spage><epage>849</epage><pages>841-849</pages><issn>0885-8977</issn><eissn>1937-4208</eissn><coden>ITPDE5</coden><abstract>This paper presents an optimization model for the calculation of the minimum number of phasor measurement units (PMUs) in electrical power networks. The problem constraint is a predefined probability of observability associated with each bus. The mixed-integer programming is used for the proposed optimization and an efficient linearization technique is proposed to convert the nonlinear function representing the probability of observability into a set of linear expressions. The PMU placement is staged in a multi-year planning horizon due to financial and physical constraints. The average probability of observability is maximized at the intermediate planning stages, subject to a limited number of PMU placements, that would satisfy the horizon year schedule. In addition, network expansion scenarios associated with intermediate stages are taken into account. Numerical studies are conducted on a nine-bus system and the IEEE 57-bus system and the results are analyzed.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TPWRD.2010.2090907</doi><tpages>9</tpages></addata></record> |
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subjects | Applied sciences Availability Buses (vehicles) Electric power generation Electrical engineering. Electrical power engineering Electrical power engineering Exact sciences and technology Horizon Indexes Mathematical models Miscellaneous Mixed-integer programming (MIP) Networks Nonlinearity Observability Operation. Load control. Reliability optimal placement of phasor measurement units Optimization Phasor measurement units Placement Power networks and lines Power transmission lines Probabilistic logic probabilistic observability Staged Studies Transmission line measurements |
title | Probabilistic Multistage PMU Placement in Electric Power Systems |
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