An improved hybrid approach for the simultaneous allocation of distributed generators and time varying loads in distribution systems
DC Field | Value | Language |
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dc.contributor.author | Ahmed, Ali | - |
dc.contributor.author | Nadeem, Muhammad Faisal | - |
dc.contributor.author | Kiani, Arooj Tariq | - |
dc.contributor.author | Ullah, Nasim | - |
dc.contributor.author | Khan, Muhammad Adnan | - |
dc.contributor.author | Mosavi, Amir | - |
dc.date.accessioned | 2023-03-14T06:40:09Z | - |
dc.date.available | 2023-03-14T06:40:09Z | - |
dc.date.created | 2023-03-14 | - |
dc.date.issued | 2023-12 | - |
dc.identifier.issn | 2352-4847 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/87063 | - |
dc.description.abstract | Distributed Generation (DG) studies are generally conducted considering a single type of DG units integrated with the Distribution System (DS). However, these studies may not evaluate optimum benefits offered by the DG integration. This paper presents a novel framework for individual and simultaneous allocation of different types of DG units in DS while considering varying load demand and probabilistic generation of DG units. A Salp Swarm Algorithm (SSA) and Particle Swarm Optimization (PSO) based new hybrid method that utilizes a single controlling parameter is proposed for simultane-ous allocation of DG units, aiming to minimize a multi-objective index. The strength of the proposed SSA-PSO hybrid approach is validated on seventeen benchmark functions and the performance of the novel framework for optimal allocation of DG units is validated through implementation on the 69-bus system. The results demonstrate that the proposed hybrid approach performs better as compared to other meta-heuristics techniques. Moreover, simultaneous allocation significantly reduces the multi-objective index as compared to individual DG units' integration. (c) 2022 The Authors. Published by Elsevier Ltd. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER | - |
dc.relation.isPartOf | ENERGY REPORTS | - |
dc.title | An improved hybrid approach for the simultaneous allocation of distributed generators and time varying loads in distribution systems | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000928317000001 | - |
dc.identifier.doi | 10.1016/j.egyr.2022.11.171 | - |
dc.identifier.bibliographicCitation | ENERGY REPORTS, v.9, pp.1549 - 1560 | - |
dc.description.isOpenAccess | Y | - |
dc.identifier.scopusid | 2-s2.0-85145351732 | - |
dc.citation.endPage | 1560 | - |
dc.citation.startPage | 1549 | - |
dc.citation.title | ENERGY REPORTS | - |
dc.citation.volume | 9 | - |
dc.contributor.affiliatedAuthor | Khan, Muhammad Adnan | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Optimal allocation | - |
dc.subject.keywordAuthor | Metaheuristics | - |
dc.subject.keywordAuthor | Distributed generation | - |
dc.subject.keywordAuthor | Multi-objective index | - |
dc.subject.keywordPlus | RADIAL-DISTRIBUTION SYSTEM | - |
dc.subject.keywordPlus | SALP SWARM ALGORITHM | - |
dc.subject.keywordPlus | NETWORK RECONFIGURATION | - |
dc.subject.keywordPlus | OPTIMAL INTEGRATION | - |
dc.subject.keywordPlus | DG PLACEMENT | - |
dc.subject.keywordPlus | POWER | - |
dc.subject.keywordPlus | FRAMEWORK | - |
dc.subject.keywordPlus | IMPACT | - |
dc.subject.keywordPlus | UNITS | - |
dc.relation.journalResearchArea | Energy & Fuels | - |
dc.relation.journalWebOfScienceCategory | Energy & Fuels | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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