Implementation of the hypothesis testing identification in power system state estimation
The authors consider the online implementation of a general, reliable and efficient bad-data analysis procedure for power system state estimation. It is based on hypothesis testing identification, which was previously proposed and subsequently improved by the authors. The procedure involves a sequen...
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| Veröffentlicht in: | IEEE Trans. Power Syst.; (United States) 1988-08, Vol.3 (3), p.887-893 |
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| container_title | IEEE Trans. Power Syst.; (United States) |
| container_volume | 3 |
| creator | Mili, L. Van Cutsem, T. |
| description | The authors consider the online implementation of a general, reliable and efficient bad-data analysis procedure for power system state estimation. It is based on hypothesis testing identification, which was previously proposed and subsequently improved by the authors. The procedure involves a sequential measurement error estimator along with adequate sparsity programming techniques. Both make the procedure easy to implement on any state estimator. A criterion for multiple noninteracting bad-data identification is also proposed, which is applicable to any bad-data analysis method. Simulations are reported on systems of up to 700 buses. A thorough comparison with classical methods is also included.< > |
| doi_str_mv | 10.1109/59.14537 |
| format | Article |
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It is based on hypothesis testing identification, which was previously proposed and subsequently improved by the authors. The procedure involves a sequential measurement error estimator along with adequate sparsity programming techniques. Both make the procedure easy to implement on any state estimator. A criterion for multiple noninteracting bad-data identification is also proposed, which is applicable to any bad-data analysis method. Simulations are reported on systems of up to 700 buses. A thorough comparison with classical methods is also included.< ></description><identifier>ISSN: 0885-8950</identifier><identifier>EISSN: 1558-0679</identifier><identifier>DOI: 10.1109/59.14537</identifier><identifier>CODEN: ITPSEG</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>990220 -- Computers, Computerized Models, & Computer Programs-- (1987-1989) ; Applied sciences ; COMPUTERIZED SIMULATION ; DATA ANALYSIS ; Electrical engineering. 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Power Syst.; (United States)</title><addtitle>TPWRS</addtitle><description>The authors consider the online implementation of a general, reliable and efficient bad-data analysis procedure for power system state estimation. It is based on hypothesis testing identification, which was previously proposed and subsequently improved by the authors. The procedure involves a sequential measurement error estimator along with adequate sparsity programming techniques. Both make the procedure easy to implement on any state estimator. A criterion for multiple noninteracting bad-data identification is also proposed, which is applicable to any bad-data analysis method. Simulations are reported on systems of up to 700 buses. A thorough comparison with classical methods is also included.< ></description><subject>990220 -- Computers, Computerized Models, & Computer Programs-- (1987-1989)</subject><subject>Applied sciences</subject><subject>COMPUTERIZED SIMULATION</subject><subject>DATA ANALYSIS</subject><subject>Electrical engineering. Electrical power engineering</subject><subject>Electrical power engineering</subject><subject>ENERGY LEVELS</subject><subject>ENERGY SYSTEMS</subject><subject>Exact sciences and technology</subject><subject>GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE</subject><subject>HYPOTHESIS</subject><subject>IMPLEMENTATION</subject><subject>Least squares approximation</subject><subject>Measurement errors</subject><subject>Operation. Load control. Reliability</subject><subject>Power networks and lines</subject><subject>Power system analysis computing</subject><subject>Power system measurements</subject><subject>Power system modeling</subject><subject>Power system reliability</subject><subject>POWER SYSTEMS</subject><subject>POWER TRANSMISSION AND DISTRIBUTION</subject><subject>PROGRAMMING</subject><subject>SIMULATION 200300 -- Electric Power Engineering-- Power Transmission & Distribution-- (-1989)</subject><subject>State estimation</subject><subject>System testing</subject><issn>0885-8950</issn><issn>1558-0679</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1988</creationdate><recordtype>article</recordtype><recordid>eNqF0c1LwzAYBvAgCs4pePUWRMRLZ9J8NDnK8GMw8KLgLXTpWxdpm9pEZP-92Tr06OmF5MeTNzwInVMyo5ToW6FnlAtWHKAJFUJlRBb6EE2IUiJTWpBjdBLCByFEposJelu0fQMtdLGMznfY1ziuAa83vU8zuIAjhOi6d-yqhFzt7Ahdh3v_DQMOmxChxSEFAN7adgdO0VFdNgHO9nOKXh_uX-ZP2fL5cTG_W2aWSRqzgktdaKE1VxRWwKiydVqN11CVClhpLWWFZLkAwVZWQE3SGUharTSzqqjYFF2OuT49bYJ1Eeza-q4DG42UjLFcJ3Q9on7wn19pSdO6YKFpyg78VzC54oTTXPwPueZScJXgzQjt4EMYoDb9kH4-bAwlZluEEdrsikj0ap9ZBls29VB21oVfX-RapqYSuxiZA4C_tF3ED4mOkGs</recordid><startdate>19880801</startdate><enddate>19880801</enddate><creator>Mili, L.</creator><creator>Van Cutsem, T.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>OTOTI</scope></search><sort><creationdate>19880801</creationdate><title>Implementation of the hypothesis testing identification in power system state estimation</title><author>Mili, L. ; Van Cutsem, T.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c361t-746979599481ebe318cf0664feda8e3acc1376325e53bc5ef03ace61db93c87d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1988</creationdate><topic>990220 -- Computers, Computerized Models, & Computer Programs-- (1987-1989)</topic><topic>Applied sciences</topic><topic>COMPUTERIZED SIMULATION</topic><topic>DATA ANALYSIS</topic><topic>Electrical engineering. Electrical power engineering</topic><topic>Electrical power engineering</topic><topic>ENERGY LEVELS</topic><topic>ENERGY SYSTEMS</topic><topic>Exact sciences and technology</topic><topic>GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE</topic><topic>HYPOTHESIS</topic><topic>IMPLEMENTATION</topic><topic>Least squares approximation</topic><topic>Measurement errors</topic><topic>Operation. Load control. Reliability</topic><topic>Power networks and lines</topic><topic>Power system analysis computing</topic><topic>Power system measurements</topic><topic>Power system modeling</topic><topic>Power system reliability</topic><topic>POWER SYSTEMS</topic><topic>POWER TRANSMISSION AND DISTRIBUTION</topic><topic>PROGRAMMING</topic><topic>SIMULATION 200300 -- Electric Power Engineering-- Power Transmission & Distribution-- (-1989)</topic><topic>State estimation</topic><topic>System testing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mili, L.</creatorcontrib><creatorcontrib>Van Cutsem, T.</creatorcontrib><creatorcontrib>Societe Tunisienne de l'Electricite et du Gaz (STEG), Tunis (TN)</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>OSTI.GOV</collection><jtitle>IEEE Trans. Power Syst.; (United States)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Mili, L.</au><au>Van Cutsem, T.</au><aucorp>Societe Tunisienne de l'Electricite et du Gaz (STEG), Tunis (TN)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Implementation of the hypothesis testing identification in power system state estimation</atitle><jtitle>IEEE Trans. Power Syst.; (United States)</jtitle><stitle>TPWRS</stitle><date>1988-08-01</date><risdate>1988</risdate><volume>3</volume><issue>3</issue><spage>887</spage><epage>893</epage><pages>887-893</pages><issn>0885-8950</issn><eissn>1558-0679</eissn><coden>ITPSEG</coden><abstract>The authors consider the online implementation of a general, reliable and efficient bad-data analysis procedure for power system state estimation. It is based on hypothesis testing identification, which was previously proposed and subsequently improved by the authors. The procedure involves a sequential measurement error estimator along with adequate sparsity programming techniques. Both make the procedure easy to implement on any state estimator. A criterion for multiple noninteracting bad-data identification is also proposed, which is applicable to any bad-data analysis method. Simulations are reported on systems of up to 700 buses. A thorough comparison with classical methods is also included.< ></abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/59.14537</doi><tpages>7</tpages></addata></record> |
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| ispartof | IEEE Trans. Power Syst.; (United States), 1988-08, Vol.3 (3), p.887-893 |
| issn | 0885-8950 1558-0679 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | 990220 -- Computers, Computerized Models, & Computer Programs-- (1987-1989) Applied sciences COMPUTERIZED SIMULATION DATA ANALYSIS Electrical engineering. Electrical power engineering Electrical power engineering ENERGY LEVELS ENERGY SYSTEMS Exact sciences and technology GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE HYPOTHESIS IMPLEMENTATION Least squares approximation Measurement errors Operation. Load control. Reliability Power networks and lines Power system analysis computing Power system measurements Power system modeling Power system reliability POWER SYSTEMS POWER TRANSMISSION AND DISTRIBUTION PROGRAMMING SIMULATION 200300 -- Electric Power Engineering-- Power Transmission & Distribution-- (-1989) State estimation System testing |
| title | Implementation of the hypothesis testing identification in power system state estimation |
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