干旱区生态环境知识资源中心(Arid): Optimal design of stand-alone hybrid PV/wind/biomass/battery energy storage system in Abu-Monqar, Egypt

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DOI	10.1016/j.est.2021.103336
	Optimal design of stand-alone hybrid PV/wind/biomass/battery energy storage system in Abu-Monqar, Egypt
	Abd El-Sattar, Hoda; Sultan, Hamdy M.; Kamel, Salah; Khurshaid, Tahir; Rahmann, Claudia
通讯作者	Khurshaid, T (corresponding author), Yeungnam Univ, Dept Elect Engn, Gyongsan 38541, South Korea.
来源期刊	JOURNAL OF ENERGY STORAGE
EISSN	2352-152X
出版年	2021
卷号	44
英文摘要	The objective of smart power systems is to combine all renewable energy sources in order to increase the electricity supply of clean energy sources. This paper proposes an optimization model for minimizing the energy cost (EC) and enhancing the power supply for rural areas by designing and analyzing three different hybrid system configurations based on integrating a biomass system with a photovoltaic (PV), wind turbine (WT) and battery system. The first hybrid system includes PV, WT, Biomass generator, and Battery storage device; the second configuration includes PV with Biomass and Battery, and the last one includes WT with Biomass and Battery. The control parameters are kept the same for both algorithms in all case studies. Real-time meteorological data are used for a remote area located in the western desert of Egypt called Abu-Monqar village. Four recent optimization algorithms, namely Slime Mould Algorithm (SMA), Seagull optimization algorithm (SOA), gray Wolf Optimizer (GWO), Whale Optimization Algorithm (WOA), and Sine Cosine Algorithm (SCA) are utilized and compared with each other to ensure that all load demand is met at the lowest energy cost (EC) for the proposed hybrid system. Based on the comparison of the obtained results and the convergence curves for the three scenarios revealed that the SMA outperformed the other algorithms in terms of the best objective function. The obtained results revealed that the third scenario using SMA method provides the optimal configuration in terms of the net present cost (NPC), EC, and LPSP with 3,476,371.76$, 0.1186861 $ /kWh, and 0.032493, respectively. 1) Motivations
英文关键词	Renewable energy Hybrid system Optimization Seagull optimization algorithm Slime mould algorithm Biomass Energy cost
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000707364900001
WOS关键词	OPTIMIZATION ALGORITHM ; FUEL-CELL ; TECHNOECONOMIC ANALYSIS ; OPTIMAL OPERATION ; SOLAR PV ; WIND ; BATTERY ; ELECTRIFICATION ; AREA
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/2XILL650/363839
作者单位	[Abd El-Sattar, Hoda] Luxor Higher Inst Engn & Technol, Elect Engn Dept, Luxor 85834, Egypt; [Sultan, Hamdy M.] Minia Univ, Elect Engn Dept, Fac Engn, Al Minya 61111, Egypt; [Kamel, Salah] Aswan Univ, Elect Engn Dept, Fac Engn, Aswan 81542, Egypt; [Khurshaid, Tahir] Yeungnam Univ, Dept Elect Engn, Gyongsan 38541, South Korea; [Rahmann, Claudia] Univ Chile, Dept Elect Engn, Santiago, Chile
推荐引用方式 GB/T 7714	Abd El-Sattar, Hoda,Sultan, Hamdy M.,Kamel, Salah,et al. Optimal design of stand-alone hybrid PV/wind/biomass/battery energy storage system in Abu-Monqar, Egypt[J],2021,44.
APA	Abd El-Sattar, Hoda,Sultan, Hamdy M.,Kamel, Salah,Khurshaid, Tahir,&Rahmann, Claudia.(2021).Optimal design of stand-alone hybrid PV/wind/biomass/battery energy storage system in Abu-Monqar, Egypt.JOURNAL OF ENERGY STORAGE,44.
MLA	Abd El-Sattar, Hoda,et al."Optimal design of stand-alone hybrid PV/wind/biomass/battery energy storage system in Abu-Monqar, Egypt".JOURNAL OF ENERGY STORAGE 44(2021).