Strategic incorporation of DSTATCOM and distributed generations in balanced and unbalanced radial power distribution networks considering time varying loads?
DC Field | Value | Language |
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dc.contributor.author | Kandasamy, Muthukumar | - |
dc.contributor.author | Thangavel, Renugadevi | - |
dc.contributor.author | Arumugam, Thamaraiselvi | - |
dc.contributor.author | Kumaravel, Sureshkumar | - |
dc.contributor.author | Aruchamy, Sakthivel | - |
dc.contributor.author | Kim, Wook-Won | - |
dc.contributor.author | Geem, Zong Woo | - |
dc.date.accessioned | 2023-09-15T15:40:21Z | - |
dc.date.available | 2023-09-15T15:40:21Z | - |
dc.date.created | 2023-09-15 | - |
dc.date.issued | 2023-12 | - |
dc.identifier.issn | 2352-4847 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/89096 | - |
dc.description.abstract | The article focuses on the optimal planning of distribution static synchronous compensator (DSTAT-COM) and distributed generation (DG) to minimize power losses, and simultaneously enhance the voltage profile, and voltage stability at various nodes of the Radial Power Distribution Networks (RPDN). The study involves combinational choices in the use of the DSTATCOM and DG and it relies on heuristic algorithms namely the Enhanced artificial bee colony algorithm (EABC) which has been formulated based on a modification in the searching strategy of the traditional artificial bee colony algorithm (ABC) by integrating the particle swarm optimization (PSO). The proposed optimization model considers the multiobjective function, including the power loss reduction, branch current capacity limit violation, and node voltage deviation. In the proposed approach, the optimal rating of DG and DSTATCOM is estimated under various load steps by using the EABC algorithm. Two different test cases namely base case, and combined installation of DG and DSTATCOM units were considered to analyze the distribution network performance at different load factors. The power loss minimization, voltage profile, and voltage stability improvement of the network before and after the allocation of DG unit and DSTATCOM is depicted. The study examines the effectiveness of the proposed method through a simulation run on 33-node balanced and IEEE 13-node unbalanced RPDN under time varying load demand. Simulation results reveal that the combined installation of DG unit along with DSTATCOM at a suitable location in 33-node and 13-node distribution networks can minimize the power loss by 62% and 43% respectively under the time varying load demand considered along with significant improvement in voltage profile and voltage stability of the network. & COPY; 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER | - |
dc.relation.isPartOf | ENERGY REPORTS | - |
dc.title | Strategic incorporation of DSTATCOM and distributed generations in balanced and unbalanced radial power distribution networks considering time varying loads? | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 001054022700001 | - |
dc.identifier.doi | 10.1016/j.egyr.2023.03.076 | - |
dc.identifier.bibliographicCitation | ENERGY REPORTS, v.9, pp.4345 - 4359 | - |
dc.description.isOpenAccess | Y | - |
dc.identifier.scopusid | 2-s2.0-85150883497 | - |
dc.citation.endPage | 4359 | - |
dc.citation.startPage | 4345 | - |
dc.citation.title | ENERGY REPORTS | - |
dc.citation.volume | 9 | - |
dc.contributor.affiliatedAuthor | Kim, Wook-Won | - |
dc.contributor.affiliatedAuthor | Geem, Zong Woo | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Distributed generation | - |
dc.subject.keywordAuthor | Radial power distribution network | - |
dc.subject.keywordAuthor | Particle swarm algorithm | - |
dc.subject.keywordAuthor | DSTATCOM | - |
dc.subject.keywordAuthor | Artificial bee colony algorithm | - |
dc.subject.keywordPlus | ARTIFICIAL BEE COLONY | - |
dc.subject.keywordPlus | DISTRIBUTION-SYSTEM | - |
dc.subject.keywordPlus | OPTIMAL ALLOCATION | - |
dc.subject.keywordPlus | OPTIMAL PLACEMENT | - |
dc.subject.keywordPlus | PARTICLE SWARM | - |
dc.subject.keywordPlus | OPTIMIZATION | - |
dc.subject.keywordPlus | RECONFIGURATION | - |
dc.subject.keywordPlus | DG | - |
dc.subject.keywordPlus | ALGORITHM | - |
dc.subject.keywordPlus | MODELS | - |
dc.relation.journalResearchArea | Energy & Fuels | - |
dc.relation.journalWebOfScienceCategory | Energy & Fuels | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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