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

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 com...

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Main Authors: Yuichiro Yoshida, Hooman Farzaneh
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/7/1737
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author Yuichiro Yoshida
Hooman Farzaneh
author_facet Yuichiro Yoshida
Hooman Farzaneh
author_sort Yuichiro Yoshida
collection DOAJ
description 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.
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spelling doaj.art-f0f5cd63fb9a412db868d576ddbe7bc22023-11-19T20:45:57ZengMDPI AGEnergies1996-10732020-04-01137173710.3390/en13071737Optimal Design of a Stand-Alone Residential Hybrid Microgrid System for Enhancing Renewable Energy Deployment in JapanYuichiro Yoshida0Hooman Farzaneh1Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Fukuoka 816-8580, JapanInterdisciplinary Graduate School of Engineering Sciences, Kyushu University, Fukuoka 816-8580, JapanThis 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.https://www.mdpi.com/1996-1073/13/7/1737renewable energymicrogridssimulationoptimization
spellingShingle Yuichiro Yoshida
Hooman Farzaneh
Optimal Design of a Stand-Alone Residential Hybrid Microgrid System for Enhancing Renewable Energy Deployment in Japan
Energies
renewable energy
microgrids
simulation
optimization
title Optimal Design of a Stand-Alone Residential Hybrid Microgrid System for Enhancing Renewable Energy Deployment in Japan
title_full Optimal Design of a Stand-Alone Residential Hybrid Microgrid System for Enhancing Renewable Energy Deployment in Japan
title_fullStr Optimal Design of a Stand-Alone Residential Hybrid Microgrid System for Enhancing Renewable Energy Deployment in Japan
title_full_unstemmed Optimal Design of a Stand-Alone Residential Hybrid Microgrid System for Enhancing Renewable Energy Deployment in Japan
title_short Optimal Design of a Stand-Alone Residential Hybrid Microgrid System for Enhancing Renewable Energy Deployment in Japan
title_sort optimal design of a stand alone residential hybrid microgrid system for enhancing renewable energy deployment in japan
topic renewable energy
microgrids
simulation
optimization
url https://www.mdpi.com/1996-1073/13/7/1737
work_keys_str_mv AT yuichiroyoshida optimaldesignofastandaloneresidentialhybridmicrogridsystemforenhancingrenewableenergydeploymentinjapan
AT hoomanfarzaneh optimaldesignofastandaloneresidentialhybridmicrogridsystemforenhancingrenewableenergydeploymentinjapan