Developed multi-objective grey wolf optimizer with fuzzy logic decision-making tool for direction overcurrent relays coordination
This paper proposes a new methodology for solving the coordination problem of DOCRs based on multi-objective grey wolf optimizer and fuzzy logic decision-making. In addition to the conventional objective function, a new objective function which aims to minimize the discrimination time between primar...
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Veröffentlicht in: | Soft computing (Berlin, Germany) Germany), 2020-09, Vol.24 (17), p.13305-13317 |
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creator | Korashy, Ahmed Kamel, Salah Nasrat, Loai Jurado, Francisco |
description | This paper proposes a new methodology for solving the coordination problem of DOCRs based on multi-objective grey wolf optimizer and fuzzy logic decision-making. In addition to the conventional objective function, a new objective function which aims to minimize the discrimination time between primary and backup relays is proposed. Moreover, the conventional objective function related to minimizing the total operating time of primary and backup relays is considered. The feasibility and performance of the proposed methodology for solving the coordination problem of DOCRs are investigated using two different systems (8-bus system and IEEE-30 bus system). The proposed methodology is compared with other reported methods. The results prove the viability and effectiveness of the proposed methodology to solve the DOCR coordination problem without any miscoordination between primary and backup relays. |
doi_str_mv | 10.1007/s00500-020-04745-7 |
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In addition to the conventional objective function, a new objective function which aims to minimize the discrimination time between primary and backup relays is proposed. Moreover, the conventional objective function related to minimizing the total operating time of primary and backup relays is considered. The feasibility and performance of the proposed methodology for solving the coordination problem of DOCRs are investigated using two different systems (8-bus system and IEEE-30 bus system). The proposed methodology is compared with other reported methods. The results prove the viability and effectiveness of the proposed methodology to solve the DOCR coordination problem without any miscoordination between primary and backup relays.</description><identifier>ISSN: 1432-7643</identifier><identifier>EISSN: 1433-7479</identifier><identifier>DOI: 10.1007/s00500-020-04745-7</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Artificial Intelligence ; Computational Intelligence ; Control ; Coordination ; Decision making ; Electric power ; Engineering ; Fuzzy logic ; Linear programming ; Mathematical Logic and Foundations ; Mechatronics ; Methodologies and Application ; Methodology ; Multiple objective analysis ; Optimization algorithms ; Optimization techniques ; Overcurrent ; Robotics ; Test systems</subject><ispartof>Soft computing (Berlin, Germany), 2020-09, Vol.24 (17), p.13305-13317</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c367t-3ff5ffda529571a08ce368d0672a3b7d90a1db8f1620488b5561055a06fa98ff3</citedby><cites>FETCH-LOGICAL-c367t-3ff5ffda529571a08ce368d0672a3b7d90a1db8f1620488b5561055a06fa98ff3</cites><orcidid>0000-0001-8122-7415</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00500-020-04745-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2918113696?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,21367,27901,27902,33721,41464,42533,43781,51294</link.rule.ids></links><search><creatorcontrib>Korashy, Ahmed</creatorcontrib><creatorcontrib>Kamel, Salah</creatorcontrib><creatorcontrib>Nasrat, Loai</creatorcontrib><creatorcontrib>Jurado, Francisco</creatorcontrib><title>Developed multi-objective grey wolf optimizer with fuzzy logic decision-making tool for direction overcurrent relays coordination</title><title>Soft computing (Berlin, Germany)</title><addtitle>Soft Comput</addtitle><description>This paper proposes a new methodology for solving the coordination problem of DOCRs based on multi-objective grey wolf optimizer and fuzzy logic decision-making. 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The results prove the viability and effectiveness of the proposed methodology to solve the DOCR coordination problem without any miscoordination between primary and backup relays.</description><subject>Artificial Intelligence</subject><subject>Computational Intelligence</subject><subject>Control</subject><subject>Coordination</subject><subject>Decision making</subject><subject>Electric power</subject><subject>Engineering</subject><subject>Fuzzy logic</subject><subject>Linear programming</subject><subject>Mathematical Logic and Foundations</subject><subject>Mechatronics</subject><subject>Methodologies and Application</subject><subject>Methodology</subject><subject>Multiple objective analysis</subject><subject>Optimization algorithms</subject><subject>Optimization techniques</subject><subject>Overcurrent</subject><subject>Robotics</subject><subject>Test systems</subject><issn>1432-7643</issn><issn>1433-7479</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kE1LxDAQhosouK7-AU8Bz9FJ0yTtUdZPWPCi55C2Sc3aNjVpV7o3_7ndreDNwzAD837AE0WXBK4JgLgJAAwAQzxNIhKGxVG0IAmlWCQiOz7cMRY8oafRWQgbgJgIRhfR953e6tp1ukTNUPcWu3yji95uNaq8HtGXqw1yXW8bu9Mefdn-HZlhtxtR7SpboFIXNljX4kZ92LZCvXM1Ms6j0vp9jmuR22pfDN7rtkde12oMqHDOl7ZV-_95dGJUHfTF715Gbw_3r6snvH55fF7drnFBuegxNYYZUyoWZ0wQBWmhKU9L4CJWNBdlBoqUeWoIjyFJ05wxToAxBdyoLDWGLqOrObfz7nPQoZcbN_h2qpRxRlJCKM_4pIpnVeFdCF4b2XnbKD9KAnKPWs6o5YRaHlBLMZnobAqTuK20_4v-x_UDvT2EwA</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Korashy, Ahmed</creator><creator>Kamel, Salah</creator><creator>Nasrat, Loai</creator><creator>Jurado, Francisco</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><orcidid>https://orcid.org/0000-0001-8122-7415</orcidid></search><sort><creationdate>20200901</creationdate><title>Developed multi-objective grey wolf optimizer with fuzzy logic decision-making tool for direction overcurrent relays coordination</title><author>Korashy, Ahmed ; 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subjects | Artificial Intelligence Computational Intelligence Control Coordination Decision making Electric power Engineering Fuzzy logic Linear programming Mathematical Logic and Foundations Mechatronics Methodologies and Application Methodology Multiple objective analysis Optimization algorithms Optimization techniques Overcurrent Robotics Test systems |
title | Developed multi-objective grey wolf optimizer with fuzzy logic decision-making tool for direction overcurrent relays coordination |
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