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

Mahmoud M. Gamil (), Soichirou Ueda, Akito Nakadomari, Keifa Vamba Konneh, Tomonobu Senjyu, Ashraf M. Hemeida and Mohammed Elsayed Lotfy
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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
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

Sustainability, 2022, vol. 14, issue 21, 1-20

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%.

Keywords: microgrid sizing; time of use; demand response; seawater electrolyzer; biomass; fuel cell (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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