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	Probabilistic Optimal PV Capacity Planning for Wind Farm Expansion Based on NASA Data
	Cao, Yongji; Zhang, Yi; Zhang, Hengxu; Shi, Xiaohan; Terzija, Vladimir
刊名	IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
	2017
卷号	8期号:3页码:1291-1300
关键词	Capacity expansion Monte Carlo simulation (MCS) multi-objective particle swarm optimization algorithm (MOPSO) National Aeronautics and Space Administration (NASA) photovoltaic (PV) two-stage approach wind energy
DOI	10.1109/TSTE.2017.2677466
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4590111
专题	山东大学
作者单位	Shandong Univ, Key Lab Power Syst Intelligent Dispatch & Control, Minist Educ
推荐引用方式 GB/T 7714	Cao, Yongji,Zhang, Yi,Zhang, Hengxu,et al. Probabilistic Optimal PV Capacity Planning for Wind Farm Expansion Based on NASA Data[J]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY,2017,8(3):1291-1300.
APA	Cao, Yongji,Zhang, Yi,Zhang, Hengxu,Shi, Xiaohan,&Terzija, Vladimir.(2017).Probabilistic Optimal PV Capacity Planning for Wind Farm Expansion Based on NASA Data.IEEE TRANSACTIONS ON SUSTAINABLE ENERGY,8(3),1291-1300.
MLA	Cao, Yongji,et al."Probabilistic Optimal PV Capacity Planning for Wind Farm Expansion Based on NASA Data".IEEE TRANSACTIONS ON SUSTAINABLE ENERGY 8.3(2017):1291-1300.

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