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DOI:	10.1371/journal.pone.0159702
论文题名:	PSO-Based Smart Grid Application for Sizing and Optimization of Hybrid Renewable Energy Systems
作者:	Mohamed A. Mohamed; Ali M. Eltamaly; Abdulrahman I. Alolah
刊名:	PLOS ONE
ISSN:	1932-6203
出版年:	2016
发表日期:	2016-8-11
卷:	11, 期:8
语种:	英语
英文关键词:	Optimization ; Wind ; Wind power ; Algorithms ; Alternative energy ; Solar radiation ; Fuels ; Saudi Arabia
英文摘要:	This paper introduces an optimal sizing algorithm for a hybrid renewable energy system using smart grid load management application based on the available generation. This algorithm aims to maximize the system energy production and meet the load demand with minimum cost and highest reliability. This system is formed by photovoltaic array, wind turbines, storage batteries, and diesel generator as a backup source of energy. Demand profile shaping as one of the smart grid applications is introduced in this paper using load shifting-based load priority. Particle swarm optimization is used in this algorithm to determine the optimum size of the system components. The results obtained from this algorithm are compared with those from the iterative optimization technique to assess the adequacy of the proposed algorithm. The study in this paper is performed in some of the remote areas in Saudi Arabia and can be expanded to any similar regions around the world. Numerous valuable results are extracted from this study that could help researchers and decision makers.
URL:	http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0159702&type=printable
Citation statistics:
资源类型:	期刊论文
标识符:	http://119.78.100.158/handle/2HF3EXSE/23167
Appears in Collections:	过去全球变化的重建影响、适应和脆弱性科学计划与规划气候变化与战略全球变化的国际研究计划气候减缓与适应气候变化事实与影响

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File Name/ File Size	Content Type	Version	Access	License
journal.pone.0159702.PDF（7800KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	View Download

作者单位:

Electrical Engineering Dept., King Saud University, Riyadh 11421, Saudi Arabia;Electrical Engineering Dept., Minia University, Minia 61519, Egypt;Sustainable Energy Technologies Center, King Saud University, Riyadh 11421, Saudi Arabia;Electrical Engineering Dept., Mansoura University, Mansoura 35516, Egypt;Electrical Engineering Dept., King Saud University, Riyadh 11421, Saudi Arabia

Recommended Citation:

Mohamed A. Mohamed,Ali M. Eltamaly,Abdulrahman I. Alolah. PSO-Based Smart Grid Application for Sizing and Optimization of Hybrid Renewable Energy Systems[J]. PLOS ONE,2016-01-01,11(8)

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