Optimal configuration of hybrid PV/wind distributed generation using improved particle swarm optimisation | |
Guohan Lin; Jing Zhang | |
刊名 | International Journal of Wireless and Mobile Computing
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2015 | |
卷号 | Vol.9 No.3页码:281-289 |
关键词 | stand-alone storage systems hybrid storage systems wind-solar storage systems particle swarm optimisation PSO energy storage reliability aggregation degree distributed generation wind energy wind power solar energy solar power photovoltaics renewable energy economic modelling equipment costs operating costs maintenance costs replacement costs meteorological data wind speed solar radiation temperature. |
ISSN号 | 1741-1084 |
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/6091589 |
专题 | 湖南大学 |
作者单位 | 1.College of Electrical and Information Engineering, Hunan University, Hunan, Changsha, China 2.College of Electrical and Information, Hunan Institute of Engineering, Hunan, Xiangtan, China College of Electrical and Information Engineering, Hunan University, Hunan, Changsha, China |
推荐引用方式 GB/T 7714 | Guohan Lin,Jing Zhang. Optimal configuration of hybrid PV/wind distributed generation using improved particle swarm optimisation[J]. International Journal of Wireless and Mobile Computing,2015,Vol.9 No.3:281-289. |
APA | Guohan Lin,&Jing Zhang.(2015).Optimal configuration of hybrid PV/wind distributed generation using improved particle swarm optimisation.International Journal of Wireless and Mobile Computing,Vol.9 No.3,281-289. |
MLA | Guohan Lin,et al."Optimal configuration of hybrid PV/wind distributed generation using improved particle swarm optimisation".International Journal of Wireless and Mobile Computing Vol.9 No.3(2015):281-289. |
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