Optimum Generated Power with the Minimum Cost of a Radial Network using Firefly and Genetic Algorithms

dc.contributor.authorMohamed Els. S. Abdelwareth
dc.contributor.authorDedet Candra Riawan
dc.contributor.authorChow Chompoo‐inwai
dc.date.accessioned2026-05-08T19:19:53Z
dc.date.issued2021-10-20
dc.description.abstractThis paper presented two artificial intelligence methods to find the optimum output power from Diesel generator (DG), Photovoltaic system (PV) and batteries to satisfy the load with the minimum cost considering the minimum losses. Our case study was a micro-gird 20 kV radial network consists of 21 busses located in Tomia island, south-east Sulawesi Island, Indonesia. Firefly algorithm (FA) and Genetic algorithm (GA) used in this study to do the optimization and chose the optimum operation. Forward-Backward sweep method used for the power flow calculations.
dc.identifier.doi10.1109/icpei52436.2021.9690661
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/17244
dc.subjectMicrogrid Control and Optimization
dc.subjectOptimal Power Flow Distribution
dc.subjectEnergy Load and Power Forecasting
dc.titleOptimum Generated Power with the Minimum Cost of a Radial Network using Firefly and Genetic Algorithms
dc.typeArticle

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