Multi-objective Optimization of a Hydrogen-Battery Hybrid Storage System for Offshore Wind Farm Using MOPSO
文献类型：期刊论文
| 作者 | Tian, Tian1,2; Ma, Zetao2; Cui, Qiong2; Shu, Jie2; Tan, Lei3; Wang, Hao2 |
| 刊名 | JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
 |
| 出版日期 | 2023-08-02 |
| 页码 | 13 |
| 关键词 | Energy management strategy Multi-objective optimization Multi-objective particle swarm optimization Offshore wind-hydrogen-battery storage system |
| ISSN号 | 1975-0102 |
| DOI | 10.1007/s42835-023-01574-0 |
| 通讯作者 | Ma, Zetao(mazt@ms.giec.ac.cn) |
| 英文摘要 | Recently, offshore wind farms (OWFs) are gaining more and more attention for its high efficiency and yearly energy production capacity. However, the power generated by OWFs has the drawbacks of intermittence and fluctuation, leading to the deterioration of electricity grid stability and wind curtailment. Energy storage is one of the most important solutions to smooth the wind power and capture its surplus. In this paper, we provide a multi-objective optimization approach that combines multi-objective particle swarm optimization and rule-based energy management strategy for an on-gird offshore wind-hydrogen-battery system to simultaneously address the economic (Eco), the qualified rate of smoothing offshore wind power fluctuations (QRS), and the rate of offshore wind power curtailment (ROC). Results revealed that ROC and Eco, QRS and Eco are negatively correlated, but ROC and QRS are positively correlated. The hybrid storage system is more conducive to improve QRS and reduce ROC. Comparing with other three systems, the improvement range for ROC is between 13.6 and 46% when QRS is 100%. In addition, battery storage improves QRS by 2.6%, hydrogen storage deteriorates Eco by 86.8% and improve ROC by 38.5%, the change of ROC and QRS brings by transmission project are close to 100% and 4.4%. |
| WOS关键词 | ENERGY SYSTEM |
| 资助项目 | Science and Technology Major Project of Guangdong Province[220311085850132] ; Key Research and Development Project of Guangdong Province[2021B0101230004] ; Special fund for Science and technology innovation of Jiangsu Province[BE2022610] ; Guangdong Provincial Key Laboratory of New and Renewable Energy Research and Development[E1390702] ; Science and Technology Project in Guangzhou[202102020051] |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:001041887600002 |
| 出版者 | SPRINGER SINGAPORE PTE LTD |
| 资助机构 | Science and Technology Major Project of Guangdong Province ; Key Research and Development Project of Guangdong Province ; Special fund for Science and technology innovation of Jiangsu Province ; Guangdong Provincial Key Laboratory of New and Renewable Energy Research and Development ; Science and Technology Project in Guangzhou |
| 源URL | [http://ir.giec.ac.cn/handle/344007/39153]  |
| 专题 | 中国科学院广州能源研究所 |
| 通讯作者 | Ma, Zetao |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing, Peoples R China 2.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou, Peoples R China 3.Guangdong Lab, Shanwei Branch Adv Energy Sci & Technol, Shanwei, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tian, Tian,Ma, Zetao,Cui, Qiong,et al. Multi-objective Optimization of a Hydrogen-Battery Hybrid Storage System for Offshore Wind Farm Using MOPSO[J]. JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY,2023:13. |
| APA | Tian, Tian,Ma, Zetao,Cui, Qiong,Shu, Jie,Tan, Lei,&Wang, Hao.(2023).Multi-objective Optimization of a Hydrogen-Battery Hybrid Storage System for Offshore Wind Farm Using MOPSO.JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY,13. |
| MLA | Tian, Tian,et al."Multi-objective Optimization of a Hydrogen-Battery Hybrid Storage System for Offshore Wind Farm Using MOPSO".JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY (2023):13. |
入库方式： OAI收割
来源：广州能源研究所
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