Knowledge Management System Of Guangzhou Institute of Energy Conversion, CAS
Study on the Economic Optimization of Energy Storage System Configuration for Wind Power Accommodation in Guangdong Province | |
Gao,Liping1,2,3; Cai,Guotian1,2,3; Zhang,Yuntao1,2,3; Ke,Shangjun1,2,3,4; Chen,Yushu1,2,3 | |
2020-08-01 | |
发表期刊 | IOP Conference Series: Earth and Environmental Science |
ISSN | 1755-1307 |
卷号 | 555期号:1 |
摘要 | Abstract Based on the wind power development plan of Guangdong, wind power accommodation capacity of Guangdong power grid is calculated with peak regulation constraints. The sensitivity and adjustability of four parameters that affect wind power accommodation capacity were compared. Taking the minimum life cycle annual cost as objective function, the problem of energy storage system configuration is solved by enumeration method. The results show that: there will be a surplus of wind power during valley load period with peak regulation constraints in 2030, and the difference from actual installed capacity is 17.29 GW; the minimum output coefficient is the best adjustment parameter among the four parameters; according to the comparison of seven schemes; the fifth scheme has the best economic performance with the life cycle annual cost of 13.53 billion yuan and the efficiency of 63.62%. The power ratio of compressed-air energy storage (CAES), battery storage (BS) and super capacitor energy storage (SCES) is 85.40%, 8.63%, 5.97%, and the capacity ratio is 98.39%, 1.61%, 3.8e-6%, respectively. |
DOI | 10.1088/1755-1315/555/1/012078 |
语种 | 英语 |
WOS记录号 | IOP:EES_555_1_012078 |
出版者 | IOP Publishing |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.giec.ac.cn/handle/344007/29916 |
专题 | 中国科学院广州能源研究所 |
作者单位 | 1.Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Nengyuan Road, Tianhe District, Guangzhou, Guangdong Province, China 2.Key Laboratory of Renewable Energy, Chinese Academy of Sciences, Tianhe District, Guangzhou, Guangdong Province, China 3.University of Chinese Academy of Sciences, Beijing, China 4.Nano Science and Technology Institute, University of Science and Technology of China, Renai Road, Suzhou, Jiangsu Province, China |
推荐引用方式 GB/T 7714 | Gao,Liping,Cai,Guotian,Zhang,Yuntao,et al. Study on the Economic Optimization of Energy Storage System Configuration for Wind Power Accommodation in Guangdong Province[J]. IOP Conference Series: Earth and Environmental Science,2020,555(1). |
APA | Gao,Liping,Cai,Guotian,Zhang,Yuntao,Ke,Shangjun,&Chen,Yushu.(2020).Study on the Economic Optimization of Energy Storage System Configuration for Wind Power Accommodation in Guangdong Province.IOP Conference Series: Earth and Environmental Science,555(1). |
MLA | Gao,Liping,et al."Study on the Economic Optimization of Energy Storage System Configuration for Wind Power Accommodation in Guangdong Province".IOP Conference Series: Earth and Environmental Science 555.1(2020). |
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