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Optimal Multi-Objective Power Scheduling of a Residential Microgrid Considering Renewable Sources and Demand Response Technique

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  • Mahmoud M. Gamil

    (Department of Electrical and Electronics Engineering, Faculty of Engineering, University of The Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami 903-0213, Okinawa, Japan
    Department of Electrical Power and Machines, Zagazig University, Zagazig 44519, Egypt)

  • Soichirou Ueda

    (Department of Electrical and Electronics Engineering, Faculty of Engineering, University of The Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami 903-0213, Okinawa, Japan)

  • Akito Nakadomari

    (Department of Electrical and Electronics Engineering, Faculty of Engineering, University of The Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami 903-0213, Okinawa, Japan)

  • Keifa Vamba Konneh

    (Department of Electrical and Electronics Engineering, Faculty of Engineering, University of The Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami 903-0213, Okinawa, Japan)

  • Tomonobu Senjyu

    (Department of Electrical and Electronics Engineering, Faculty of Engineering, University of The Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami 903-0213, Okinawa, Japan)

  • Ashraf M. Hemeida

    (Department of Electrical Engineering, Faculty of Energy Engineering, Aswan University, Aswan 81528, Egypt)

  • Mohammed Elsayed Lotfy

    (Department of Electrical Power and Machines, Zagazig University, Zagazig 44519, Egypt)

Abstract

Microgrid optimization is one of the most promising solutions to power system issues and new city electrification. This paper presents a strategy for optimal power scheduling of a residential microgrid depending on renewable generating sources and hydrogen power. Five scenarios of the microgrid are introduced to show the effect of using biomass energy and a seawater electrolyzer on microgrid cost and CO 2 emissions. Time of use demand response is applied to reshape the electric load demand and decrease the dependence on grid power. The obtained results from the multi-objective optimization verify that biomass has a significant role in minimizing the cost and CO 2 emissions; the cost is decreased by 37.9% when comparing scenarios with and without biomass. Besides, the FC integration with seawater electrolyzer and tanks reduces the microgrid emissions by around 40%.

Suggested Citation

  • Mahmoud M. Gamil & Soichirou Ueda & Akito Nakadomari & Keifa Vamba Konneh & Tomonobu Senjyu & Ashraf M. Hemeida & Mohammed Elsayed Lotfy, 2022. "Optimal Multi-Objective Power Scheduling of a Residential Microgrid Considering Renewable Sources and Demand Response Technique," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:13709-:d:950372
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    References listed on IDEAS

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