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Open AccessArticle

Optimal Design of a Stand-Alone Residential Hybrid Microgrid System for Enhancing Renewable Energy Deployment in Japan

1
Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Fukuoka 816-8580, Japan
2
Platform of Inter/Transdisciplinary Energy Research, Kyushu University, Fukuoka 819-0395, Japan
*
Author to whom correspondence should be addressed.
Energies 2020, 13(7), 1737; https://doi.org/10.3390/en13071737
Received: 3 March 2020 / Revised: 31 March 2020 / Accepted: 31 March 2020 / Published: 5 April 2020
(This article belongs to the Special Issue Microgrids: Planning, Protection and Control)
This paper aims at the optimal designing of a stand-alone microgrid (PV/wind/battery/diesel) system, which can be utilized to meet the demand load requirements of a small residential area in Kasuga City, Fukuoka. The simulation part is developed to estimate the electrical power generated by each component, taking into account the variation of the weather parameters, such as wind, solar irradiation, and ambient temperature. The optimal system design is then based on the Particle Swarm Optimization (PSO) method to find the optimal configuration of the proposed system, using the least-cost perspective approach. View Full-Text
Keywords: renewable energy; microgrids; simulation; optimization renewable energy; microgrids; simulation; optimization
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MDPI and ACS Style

Yoshida, Y.; Farzaneh, H. Optimal Design of a Stand-Alone Residential Hybrid Microgrid System for Enhancing Renewable Energy Deployment in Japan. Energies 2020, 13, 1737. https://doi.org/10.3390/en13071737

AMA Style

Yoshida Y, Farzaneh H. Optimal Design of a Stand-Alone Residential Hybrid Microgrid System for Enhancing Renewable Energy Deployment in Japan. Energies. 2020; 13(7):1737. https://doi.org/10.3390/en13071737

Chicago/Turabian Style

Yoshida, Yuichiro; Farzaneh, Hooman. 2020. "Optimal Design of a Stand-Alone Residential Hybrid Microgrid System for Enhancing Renewable Energy Deployment in Japan" Energies 13, no. 7: 1737. https://doi.org/10.3390/en13071737

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