Optimal Sizing of a Real Remote Japanese Microgrid with Sea Water Electrolysis Plant Under Time-Based Demand Response Programs

Mahmoud M. Gamil, Makoto Sugimura, Akito Nakadomari, Tomonobu Senjyu, Harun Or Rashid Howlader, Hiroshi Takahashi and Ashraf M. Hemeida
Additional contact information
Mahmoud M. Gamil: Department of Electrical and Electronics Engineering, Faculty of engineering, University of The Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, Japan
Makoto Sugimura: Department of Electrical and Electronics Engineering, Faculty of engineering, University of The Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, Japan
Akito Nakadomari: Department of Electrical and Electronics Engineering, Faculty of engineering, University of The Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, Japan
Tomonobu Senjyu: Department of Electrical and Electronics Engineering, Faculty of engineering, University of The Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, Japan
Harun Or Rashid Howlader: Department of Electrical and Electronics Engineering, Faculty of engineering, University of The Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, Japan
Hiroshi Takahashi: Fuji Elctric Co., Ltd, Tokyo 141-0032, Japan
Ashraf M. Hemeida: Department of Electrical Engineering, Faculty of Energy Engineering, Aswan University, Aswan 81528, Egypt

Energies, 2020, vol. 13, issue 14, 1-22

Abstract: Optimal sizing of power systems has a tremendous effective role in reducing the total system cost by preventing unneeded investment in installing unnecessary generating units. This paper presents an optimal sizing and planning strategy for a completely hybrid renewable energy power system in a remote Japanese island, which is composed of photovoltaic (PV), wind generators (WG), battery energy storage system (BESS), fuel cell (FC), seawater electrolysis plant, and hydrogen tank. Demand response programs are applied to overcome the performance variance of renewable energy systems (RESs) as they offer an efficient solution for many problems such as generation cost, high demand peak to average ratios, and assist grid reliability during peak load periods. Real-Time Pricing (RTP), which is deployed in this work, is one of the main price-based demand response groups used to regulate electricity consumption of consumers. Four case studies are considered to confirm the robustness and effectiveness of the proposed schemes. Mixed-Integer Linear Programming (MILP) is utilized to optimize the size of the system’s components to decrease the total system cost and maximize the profits at the same time.

Keywords: microgrid; RTP; demand response; sea water electrolysis plant; MILP; optimal sizing; minimum cost; renewable energy power system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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