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DOI	10.1002/2050-7038.12045
	Optimal size of photovoltaic pumping system using nature-inspired algorithms
	Bakelli, Yahia; Kaabeche, Abdelhamid
通讯作者	Bakelli, Yahia
来源期刊	INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
ISSN	2050-7038
出版年	2019
卷号	29 期号:9
英文摘要	In this article, an optimal design model using metaheuristic techniques to overcome such difficult optimization problems has been proposed. For this purpose, various well-known metaheuristic algorithms have been used, namely: ant lion optimizer (ALO), bat algorithm (BA), cuckoo search algorithm (CSA), and gray wolf optimization algorithm (GWO). To provide optimal system configurations, an objective function based on the total net present cost (TNPC) has been specified while taking into account a number of constraints, including the loss of power supply probability (LPSP). The effectiveness of the used algorithms in solving such problem is assessed and their performances compared with each other. To assess the suggested model's effectiveness, a case study has been conducted to investigate a stand-alone photovoltaic water pumping system (PVWPS), designed to supply water to a one-hectare field of date palm trees. This field of an oasis located in the Ghardaia region of Algeria consists of 130 date palm trees spaced 9 m apart. The simulation results show the effectiveness of the GWO algorithm over the other algorithms. GWO converges toward the optimal solutions for different heads and all reliability levels required by the customer. Another aspect, supported by the developed methodology, is the accounting of the excess water volume. It has been found that the relative surplus is inversely proportional to the PVWPS reliability level. For a head of 30 m, the relative excess is estimated at 120% for LPS0%, while it is 27% for LPSP of 10%. The same observations are made for the other heads.
英文关键词	cuckoo search algorithm loss of power supply probability (LPSP) photovoltaic water pumping system (PVWPS) sizing optimization total net present cost (TNPC)
类型	Article
语种	英语
国家	Algeria
收录类别	SCI-E
WOS记录号	WOS:000483578500010
WOS关键词	STANDALONE ; OPTIMIZATION ; METHODOLOGY ; DESIGN ; GENERATION ; MODULES
WOS类目	Engineering, Electrical & Electronic
WOS研究方向	Engineering
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/216535
作者单位	Ctr Dev Energies Renouvelables, BP 62, Algiers 16340, Algeria
推荐引用方式 GB/T 7714	Bakelli, Yahia,Kaabeche, Abdelhamid. Optimal size of photovoltaic pumping system using nature-inspired algorithms[J],2019,29(9).
APA	Bakelli, Yahia,&Kaabeche, Abdelhamid.(2019).Optimal size of photovoltaic pumping system using nature-inspired algorithms.INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS,29(9).
MLA	Bakelli, Yahia,et al."Optimal size of photovoltaic pumping system using nature-inspired algorithms".INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS 29.9(2019).