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Online Optimal Resources Mix of Power System Using Dizzy Dragonfly Algorithm

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Renewable Energy Systems and Sources (ICRCE 2023)

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Abstract

Online Resources Mix (ORM) consisting of wind turbine generators (WTGs), photovoltaics (PVs), battery energy storage systems (BESSs), fuel cell generators (FC), and the external sources play a vital role in supplying electricity to production processes of modern manufacturing plants. In this study, the power system of the two raw water stations (RWSs) at the Mahasawat Water Treatment plant (MHS) is studied and modified to utilize ORM. Then, developed from Dragonfly Algorithm (DA), Dizzy Dragonfly Algorithm (DDA) is proposed for dragonflies to follow the new movement characteristics to gain supreme performances in swarms. This aims to discover the excellent optimal power of ORM for RWSs through the minimization of the total cost of operation and maintenance, fuel, and electricity commercialization between RWSs and the external source, as the objective function of this study. The Time-of-Use (TOU) tariffs are considered on the commercialization cost. As a result, DDA provides the best total cost over the cost by DA and the other referred optimization algorithms.

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Authors and Affiliations

  1. Department of Corporate Innovation, Metropolitan Waterworks Authority, Bangkok, Thailand

    Soraphon Kigsirisin

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  1. Soraphon Kigsirisin
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Correspondence to Soraphon Kigsirisin .

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Editors and Affiliations

  1. Smart Grid and Renewable Energy, Faculty of Engineering and Science, University of Agder, Grimstad, Norway

    Mohan Lal Kolhe

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Kigsirisin, S. (2023). Online Optimal Resources Mix of Power System Using Dizzy Dragonfly Algorithm. In: Kolhe, M.L. (eds) Renewable Energy Systems and Sources. ICRCE 2023. Springer, Singapore. https://doi.org/10.1007/978-981-99-6290-7_1

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  • DOI: https://doi.org/10.1007/978-981-99-6290-7_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-6289-1

  • Online ISBN: 978-981-99-6290-7

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