Robust System Separation Strategy Considering Online Wide-Area Coherency Identification and Uncertainties of Renewable Energy Sources
With the fast growth of renewable energy sources (RES), more and more uncertainties are involved and influencing the stable operation of power systems. Controlled islanding is the last measure to prevent power system blackouts, thus this paper aims to propose a novel model of system separation based...
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| Veröffentlicht in: | IEEE transactions on power systems 2020-09, Vol.35 (5), p.3574-3587 |
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| creator | Liu, Shengyuan Lin, Zhenzhi Zhao, Yuxuan Liu, Yilu Ding, Yi Zhang, Bo Yang, Li Wang, Qin White, Samantha Emma |
| description | With the fast growth of renewable energy sources (RES), more and more uncertainties are involved and influencing the stable operation of power systems. Controlled islanding is the last measure to prevent power system blackouts, thus this paper aims to propose a novel model of system separation based on Online Coherency Identification and Adjustable Robust Optimization Programming (OCI-AROP) for minimizing load shedding considering the uncertainties of RES. First, Fuzzy C-Means (FCM) clustering method with F -statistics is utilized to identify the coherent generator groups with the frequency data measured by Phasor Measurement Units (PMUs). Then, the OCI-AROP model considering coherent group constraints, connectivity constraints and robustness constraints about RES are presented. Finally, the case studies on IEEE-39 bus system and WECC-179 bus system are employed to demonstrate the effectiveness of the proposed OCI-AROP model, and comparisons among the OCI-AROP model and the other models are also given to show its superiority. |
| doi_str_mv | 10.1109/TPWRS.2020.2971966 |
| format | Article |
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Finally, the case studies on IEEE-39 bus system and WECC-179 bus system are employed to demonstrate the effectiveness of the proposed OCI-AROP model, and comparisons among the OCI-AROP model and the other models are also given to show its superiority.</description><identifier>ISSN: 0885-8950</identifier><identifier>EISSN: 1558-0679</identifier><identifier>DOI: 10.1109/TPWRS.2020.2971966</identifier><identifier>CODEN: ITPSEG</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>adjustable robust optimization programming (AROP) ; Alternative energy sources ; Clustering ; Coherent generators ; Constraint modelling ; Electric power distribution ; Electric power systems ; Energy resources ; Frequency measurement ; Generators ; Graph theory ; Islanding ; Load shedding ; Measuring instruments ; On-line systems ; Online coherency identification (OCI) ; Optimization ; Phasors ; Power system stability ; POWER TRANSMISSION AND DISTRIBUTION ; Renewable energy sources ; renewable energy sources (RES) ; Renewable resources ; Robustness ; System separation ; Uncertainty</subject><ispartof>IEEE transactions on power systems, 2020-09, Vol.35 (5), p.3574-3587</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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(ORNL), Oak Ridge, TN (United States)</creatorcontrib><title>Robust System Separation Strategy Considering Online Wide-Area Coherency Identification and Uncertainties of Renewable Energy Sources</title><title>IEEE transactions on power systems</title><addtitle>TPWRS</addtitle><description>With the fast growth of renewable energy sources (RES), more and more uncertainties are involved and influencing the stable operation of power systems. Controlled islanding is the last measure to prevent power system blackouts, thus this paper aims to propose a novel model of system separation based on Online Coherency Identification and Adjustable Robust Optimization Programming (OCI-AROP) for minimizing load shedding considering the uncertainties of RES. First, Fuzzy C-Means (FCM) clustering method with F -statistics is utilized to identify the coherent generator groups with the frequency data measured by Phasor Measurement Units (PMUs). Then, the OCI-AROP model considering coherent group constraints, connectivity constraints and robustness constraints about RES are presented. Finally, the case studies on IEEE-39 bus system and WECC-179 bus system are employed to demonstrate the effectiveness of the proposed OCI-AROP model, and comparisons among the OCI-AROP model and the other models are also given to show its superiority.</description><subject>adjustable robust optimization programming (AROP)</subject><subject>Alternative energy sources</subject><subject>Clustering</subject><subject>Coherent generators</subject><subject>Constraint modelling</subject><subject>Electric power distribution</subject><subject>Electric power systems</subject><subject>Energy resources</subject><subject>Frequency measurement</subject><subject>Generators</subject><subject>Graph theory</subject><subject>Islanding</subject><subject>Load shedding</subject><subject>Measuring instruments</subject><subject>On-line systems</subject><subject>Online coherency identification (OCI)</subject><subject>Optimization</subject><subject>Phasors</subject><subject>Power system stability</subject><subject>POWER TRANSMISSION AND DISTRIBUTION</subject><subject>Renewable energy sources</subject><subject>renewable energy sources (RES)</subject><subject>Renewable resources</subject><subject>Robustness</subject><subject>System separation</subject><subject>Uncertainty</subject><issn>0885-8950</issn><issn>1558-0679</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9UdtKHDEYDqVCt9oXaG9Cez3bHCaZ5FIWawXBsqN4GTKZPxpZk22SpewD-N6NHenVf_gOfPAh9JmSNaVEf7_9db8d14wwsmZ6oFrKd2hFhVAdkYN-j1ZEKdEpLcgH9LGUJ0KIbMAKvWzTdCgVj8dS4RmPsLfZ1pAiHmtb4OGINymWMEMO8QHfxF2IgO_b3Z1nsA18hAzRHfHVDLEGH9wit3HGd9FBrja0PxScPN5ChD922gG-iJCb95gO2UE5Qyfe7gp8epun6O7Hxe3mZ3d9c3m1Ob_uHJeydgImOk39oGbGLJkGJ7gcKBcSvOwpd73j3ve-l4Pwg1VykmxWgwPNLZOKEn6Kvi6-qdRgigsV3KNLMYKrhkoptKSN9G0h7XP6fYBSzVNLGVsuw_qWg3CpZWOxheVyKiWDN_scnm0-GkrMayfmXyfmtRPz1kkTfVlEAQD-C5RWggnB_wJsUooC</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Liu, Shengyuan</creator><creator>Lin, Zhenzhi</creator><creator>Zhao, Yuxuan</creator><creator>Liu, Yilu</creator><creator>Ding, Yi</creator><creator>Zhang, Bo</creator><creator>Yang, Li</creator><creator>Wang, Qin</creator><creator>White, Samantha Emma</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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(ORNL), Oak Ridge, TN (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Robust System Separation Strategy Considering Online Wide-Area Coherency Identification and Uncertainties of Renewable Energy Sources</atitle><jtitle>IEEE transactions on power systems</jtitle><stitle>TPWRS</stitle><date>2020-09-01</date><risdate>2020</risdate><volume>35</volume><issue>5</issue><spage>3574</spage><epage>3587</epage><pages>3574-3587</pages><issn>0885-8950</issn><eissn>1558-0679</eissn><coden>ITPSEG</coden><abstract>With the fast growth of renewable energy sources (RES), more and more uncertainties are involved and influencing the stable operation of power systems. Controlled islanding is the last measure to prevent power system blackouts, thus this paper aims to propose a novel model of system separation based on Online Coherency Identification and Adjustable Robust Optimization Programming (OCI-AROP) for minimizing load shedding considering the uncertainties of RES. First, Fuzzy C-Means (FCM) clustering method with F -statistics is utilized to identify the coherent generator groups with the frequency data measured by Phasor Measurement Units (PMUs). Then, the OCI-AROP model considering coherent group constraints, connectivity constraints and robustness constraints about RES are presented. 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| subjects | adjustable robust optimization programming (AROP) Alternative energy sources Clustering Coherent generators Constraint modelling Electric power distribution Electric power systems Energy resources Frequency measurement Generators Graph theory Islanding Load shedding Measuring instruments On-line systems Online coherency identification (OCI) Optimization Phasors Power system stability POWER TRANSMISSION AND DISTRIBUTION Renewable energy sources renewable energy sources (RES) Renewable resources Robustness System separation Uncertainty |
| title | Robust System Separation Strategy Considering Online Wide-Area Coherency Identification and Uncertainties of Renewable Energy Sources |
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