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Author: search.filters.author.Chompoo-Inwai, ChowSubject: search.filters.subject.Power system optimization

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    Optimum Operation and Cost Scenarios of a Hybrid Wind/PV/Battery in a Radial Network using Genetic Algorithm and Particle Swarm Optimization
    (2022-01-01)
    Abdelwareth, Mohamed Els S.
    ;
    Riawan, Dedet Candra
    ;
    Chompoo-Inwai, Chow
    Hybrid 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).
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    Optimum Generated Power with the Minimum Cost of a Radial Network using Firefly and Genetic Algorithms
    (2021-01-01)
    Abdelwareth, Mohamed Els S.
    ;
    Riawan, Dedet Candra
    ;
    Chompoo-Inwai, Chow
    This 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.