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dc.contributor.authorNasir, Mohammad
dc.contributor.authorSadollah, Ali
dc.contributor.authorOsaba, Eneko
dc.contributor.authorDel Ser, Javier
dc.date.accessioned2020-12-21T10:02:26Z
dc.date.available2020-12-21T10:02:26Z
dc.date.issued2020-10-27
dc.identifier.citationNasir, Mohammad, Ali Sadollah, Eneko Osaba, and Javier Del Ser. “A Novel Metaheuristic Approach for Loss Reduction and Voltage Profile Improvement in Power Distribution Networks Based on Simultaneous Placement and Sizing of Distributed Generators and Shunt Capacitor Banks.” Intelligent Data Engineering and Automated Learning – IDEAL 2020 (2020): 64–76. doi:10.1007/978-3-030-62362-3_7.en
dc.identifier.isbn978-3-030-62361-6; 978-3-030-62362-3en
dc.identifier.issn0302-9743en
dc.identifier.urihttp://hdl.handle.net/11556/1040
dc.description.abstractIn this paper, Neural Network Algorithm is employed for simultaneous placing and sizing Distributed Generators and Shunt Capacitors Banks in distribution network to minimize active power loss and improve the voltage profile. The NNA is a novel developed optimizer based on the concept of artificial neural networks which benefits from its unique structure and search operators for solving complex optimization problems. The difficulty of tuning the initial parameters and trapping in local optima is eliminated in the proposed optimizer. The capability and effectiveness of the proposed algorithm are evaluated on IEEE 69-bus distribution system with considering nine cases and the results are compared with previous published methods. Simulation outcomes of the recommended algorithm are assessed and compared with those attained by Genetic Algorithms, Grey Wolf Optimizer, and Water Cycle Algorithm. The analysis of these results is conclusive in regard to the superiority of the proposed algorithm.en
dc.description.sponsorshipJ. Del Ser and E. Osaba would like to thank the Spanish Centro para el Desarrollo Tecnologico Industrial (CDTI, Ministry of Science and Innovation) through the “Red Cervera” Programme (AI4ES project), as well as by the Basque Government through EMAITEK and ELKARTEK (ref. 3KIA) funding grants. J. Del Ser also acknowledges funding support from the Department of Education of the Basque Government (Consolidated Research Group MATHMODE, IT1294-19).en
dc.language.isoengen
dc.publisherSpringeren
dc.titleA Novel Metaheuristic Approach for Loss Reduction and Voltage Profile Improvement in Power Distribution Networks Based on Simultaneous Placement and Sizing of Distributed Generators and Shunt Capacitor Banksen
dc.typeconference outputen
dc.identifier.doi10.1007/978-3-030-62362-3_7en
dc.rights.accessRightsembargoed accessen
dc.subject.keywordsDistributed generationsen
dc.subject.keywordsShunt capacitors banksen
dc.subject.keywordsPower lossen
dc.subject.keywordsVoltage profileen
dc.subject.keywordsNeural network algorithmen
dc.identifier.essn1611-3349en
dc.journal.titleLecture Notes in Computer Science book seriesen
dc.page.final76en
dc.page.initial64en
dc.volume.number12489en
dc.conference.titleIntelligent Data Engineering and Automated Learning – IDEAL 2020en


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