Optimum Operation and Cost Scenarios of a Hybrid Wind/PV/Battery in a Radial Network using Genetic Algorithm and Particle Swarm Optimization

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dc.contributor.authorAbdelwareth, Mohamed Els S.
dc.contributor.authorRiawan, Dedet Candra
dc.contributor.authorChompoo-Inwai, Chow
dc.date.accessioned2026-08-06T10:34:37Z
dc.date.available2026-08-06T10:34:37Z
dc.date.issued2022-01-01
dc.description.abstractHybrid generation systems took the attention of many researchers searching for the best energy source that can be optimum, reliable, and scalable instead of dependency on the traditional fossil fuels sources; researchers are developing Artificial Intelligence (AI) algorithms to optimize those systems. This paper will study the optimum generating power from a Wind turbine, PV, and Battery linked to the radial network in Tomia Island, considering the optimum cost using Particle Swarm Optimization (PSO) and Genetic Algorithm (GA).
dc.identifier.citation2022 International Conference on Power Energy and Innovations Icpei 2022, 2022
dc.identifier.doi10.1109/ICPEI55293.2022.9986819
dc.identifier.other2-s2.0-85146424645
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/12566
dc.source2022 International Conference on Power Energy and Innovations Icpei 2022
dc.subjectBatteries
dc.subjectFirefly algorithm
dc.subjectGenetic algorithm
dc.subjectParticle swarm optimization
dc.subjectPower system optimization
dc.subjectPV
dc.subjectRadial network
dc.subjectWind Turbine
dc.titleOptimum Operation and Cost Scenarios of a Hybrid Wind/PV/Battery in a Radial Network using Genetic Algorithm and Particle Swarm Optimization
dc.typeConference Paper

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