Distribution Network Planning Enhancement via Network Reconfiguration and DG Integration Using Dataset Approach and Water Cycle Algorithm

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniv Malaya-
Autor(es): dc.contributorUniv Kuala Lumpur-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorMuhammad, Munir Azam-
Autor(es): dc.creatorMokhlis, Hazlie-
Autor(es): dc.creatorNaidu, Kanendra-
Autor(es): dc.creatorAmin, Adil-
Autor(es): dc.creatorFranco, John F. [UNESP]-
Autor(es): dc.creatorOthman, Mohamadariff-
Data de aceite: dc.date.accessioned2022-02-22T00:10:33Z-
Data de disponibilização: dc.date.available2022-02-22T00:10:33Z-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2019-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.35833/MPCE.2018.000503-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/196830-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/196830-
Descrição: dc.descriptionThe integration of network reconfiguration and distributed generation (DG) can enhance the performances of overall networks. Thus, proper sizing and siting of DG need to be determined, otherwise it will cause degradation in system performance. However, determining proper sizing and siting of DG together with network reconfiguration is a complex problem due to huge solution search space. This search space mostly contains non-radial network configurations. Eliminating these non-radial combinations during optimization process increases computational overhead and may end up at local optimal solution. To reduce the searching complexity, this paper considers the discretized network reconfiguration via dataset approach. Water cycle algorithm (WCA) is used to obtain the near optimal solution of network reconfiguration, and sizing and sitting of DG. In addition, the power factor of DG is also optimized to reduce the power loss. The proposed method is tested on an IEEE 33-bus network and an IEEE 69-bus network considering different scenarios to show the effectiveness of simultaneous approach considering variable power factor. The results show that the discretization of reconfiguration search space avoids that WCA to get trapped in local optima. The proposed method out-performs other technique such as harmony search algorithm (HSA), fireworks algorithm (FWA), Cuckoo search algorithm (CSA) and uniform voltage distribution based constructive algorithm (UVDA) and improves the solution quality of IEEE 33-bus network and 69-bus network by 29.20% and 27.88%, respectively.-
Descrição: dc.descriptionUniversity of Malaya-
Descrição: dc.descriptionUniv Malaya, Fac Engn, Dept Elect Engn, Kuala Lumpur 50603, Malaysia-
Descrição: dc.descriptionUniv Kuala Lumpur, British Malaysian Inst, Elect Technol Sect, Bt 8,Jalan Sungai Pusu, Gombak 53100, Selangor Daryl, Malaysia-
Descrição: dc.descriptionSao Paulo State Univ, Campus Rosana, BR-19274000 Rosana, Brazil-
Descrição: dc.descriptionSao Paulo State Univ, Campus Rosana, BR-19274000 Rosana, Brazil-
Descrição: dc.descriptionUniversity of Malaya: GPF016A-2019-
Formato: dc.format86-93-
Idioma: dc.languageen-
Publicador: dc.publisherIeee-inst Electrical Electronics Engineers Inc-
Relação: dc.relationJournal Of Modern Power Systems And Clean Energy-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectReactive power injection-
Palavras-chave: dc.subjectsizing and siting of distributed generation (DG)-
Palavras-chave: dc.subjectdataset approach-
Palavras-chave: dc.subjectactive distribution network-
Palavras-chave: dc.subjectpower system-
Título: dc.titleDistribution Network Planning Enhancement via Network Reconfiguration and DG Integration Using Dataset Approach and Water Cycle Algorithm-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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