Hybrid optimization to enhance power system reliability using GA, GWO, and PSO
Abstract: An optimization approach is described in the research study that deals with the issue of reconfiguration networks built with certain conditions of power loss reduction and reliability. Furthermore, the reconfigured networking system seeks optimization based on criteria affecting the limitations. This study optimises specific network faults subjecting resources with no supply during reconfiguration to avoid the effect and possess through active power losses. These goals were met using the mathematical method of the optimisation process. The mathematical formulation is generated first in the system development process. As a result, a comprehensive methodology using genetic algorithm, Grey Wolf optimization (GWO), and particle swarm optimization (PSO) was developed. Finally, intended methodologies were estimated. Based on the results, it is clear that the proposed hybrid GWO-PSO approach outperforms all other methods in terms of node voltage, reliability, line currents, and computational duration. Furthermore, when optimally sized distributed generations are placed in optimal locations, total loss is reduced by up to 63% and voltage profiles improve.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Hybrid optimization to enhance power system reliability using GA, GWO, and PSO ; volume:14 ; number:1 ; year:2023 ; extent:11
Paladyn ; 14, Heft 1 (2023) (gesamt 11)
- Urheber
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Sireesha, Rachapalli
Coppisetty, Srinivasa Rao
Vijay Kumar, Mallapu
- DOI
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10.1515/pjbr-2022-0119
- URN
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urn:nbn:de:101:1-2023062714021944106723
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:46 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Sireesha, Rachapalli
- Coppisetty, Srinivasa Rao
- Vijay Kumar, Mallapu
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