干旱区生态环境知识资源中心(Arid): Optimal sizing of hybrid photovoltaic/diesel/battery nanogrid using a parallel multiobjective PSO-based approach: Application to desert camping in Hafr Al-Batin city in Saudi Arabia

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DOI	10.1016/j.egyr.2021.07.015
	Optimal sizing of hybrid photovoltaic/diesel/battery nanogrid using a parallel multiobjective PSO-based approach: Application to desert camping in Hafr Al-Batin city in Saudi Arabia
	Bouchekara, Houssem R. E. H.; Shahriar, M. S.; Irshad, U. B.; Sha'aban, Y. A.; Mahmud, M. A. Parvez; Javaid, M. S.; Ramli, Makbul A. M.; Farjana, Shahjadi Hisan
通讯作者	Bouchekara, HREH (corresponding author), Univ Hafr Al Batin, Dept Elect Engn, Hafar al Batin 31991, Saudi Arabia.
来源期刊	ENERGY REPORTS
ISSN	2352-4847
出版年	2021
卷号	7 页码:4360-4375
英文摘要	Designing a nanogrid involves intricate considerations. Its primary system components, including PV systems, inverter type and control, batteries, and diesel generator, always offer a trade-off among conflicting design objectives - the cost of electricity and reliability, for example. This research proposes a synergistic Parallel Multiobjective PSO-based approach (PMOPSO), a merger of four optimization methods to optimally design a hybrid photovoltaic/diesel/battery nanogrid. The merged approaches are the Speed-Constrained Multiobjective Particle Swarm Optimization (SMPSO), MultiObjective Particle Swarm Optimization Algorithm Based on Decomposition (MPSO-D), Novel multiobjective particle swarm optimization (NMPSO), and Competitive Mechanism-Based Multiobjective Particle Swarm Optimizer (CMPSO). The developed approach allows the designer/operator to test multiple component models based on cost and reliability and choose the design that gives the best-suited solution. The four combined algorithms are run in parallel, and the obtained solutions are aggregated together in an archive pool where only non-dominated solutions are kept. A desert camp in the sub-urban area of Hafr Al-Batin city, situated in the Western region of Saudi Arabia, is used as a test case. The approach obtains a well-spread and large Pareto Front (PF), offering many options (solutions) to the designer/operator in a single run. The results achieved a superior set of solutions than those obtained by using each of the four combined PSO-based algorithms individually. Therefore, the developed technique provides improved and viable design solutions for a hybrid nanogrid. (C) 2021 Published by Elsevier Ltd.
英文关键词	Batteries Diesel generator Multiobjective optimization Nanogrid Particle swarm optimization Solar energy
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000701662300015
WOS关键词	ENERGY SYSTEM ; RENEWABLE ENERGY ; OPTIMIZATION ; ALGORITHM ; INVERTER
WOS类目	Energy & Fuels
WOS研究方向	Energy & Fuels
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/363083
作者单位	[Bouchekara, Houssem R. E. H.; Shahriar, M. S.; Sha'aban, Y. A.; Javaid, M. S.] Univ Hafr Al Batin, Dept Elect Engn, Hafar al Batin 31991, Saudi Arabia; [Irshad, U. B.] Macquarie Univ, Sch Engn, Sydney, NSW 2109, Australia; [Mahmud, M. A. Parvez] Deakin Univ, Sch Engn, Geelong, Vic 3216, Australia; [Ramli, Makbul A. M.] King Abdulaziz Univ, Dept Elect & Comp Engn, Jeddah 21589, Saudi Arabia; [Farjana, Shahjadi Hisan] Univ Melbourne, Sch Elect Mech & Infrastruct Engn, Dept Mech Engn, Melbourne, Vic, Australia
推荐引用方式 GB/T 7714	Bouchekara, Houssem R. E. H.,Shahriar, M. S.,Irshad, U. B.,et al. Optimal sizing of hybrid photovoltaic/diesel/battery nanogrid using a parallel multiobjective PSO-based approach: Application to desert camping in Hafr Al-Batin city in Saudi Arabia[J],2021,7:4360-4375.
APA	Bouchekara, Houssem R. E. H..,Shahriar, M. S..,Irshad, U. B..,Sha'aban, Y. A..,Mahmud, M. A. Parvez.,...&Farjana, Shahjadi Hisan.(2021).Optimal sizing of hybrid photovoltaic/diesel/battery nanogrid using a parallel multiobjective PSO-based approach: Application to desert camping in Hafr Al-Batin city in Saudi Arabia.ENERGY REPORTS,7,4360-4375.
MLA	Bouchekara, Houssem R. E. H.,et al."Optimal sizing of hybrid photovoltaic/diesel/battery nanogrid using a parallel multiobjective PSO-based approach: Application to desert camping in Hafr Al-Batin city in Saudi Arabia".ENERGY REPORTS 7(2021):4360-4375.