Climate Change Data Portal
| DOI | 10.1007/s00202-024-02331-w |
| A robust optimal sizing of renewable-rich multi-source microgrid under uncertainties with multi-storage options | |
| 发表日期 | 2024 |
| ISSN | 0948-7921 |
| EISSN | 1432-0487 |
| 英文摘要 | Adapting the power and energy systems by integrating renewable sources is necessary to address climate change. On the other hand, microgrids are gaining prominence in meeting power and energy requirements, including in remote locations. Consequently, the power system's penetration of renewable energy-based microgrids is increasing. Planning an isolated microgrid necessitates cost-effective capacity sizing of energy sources and storage systems for maintaining continuity in power supply. Considering the variability and uncertainty of photovoltaic (PV), wind energies, and load variations, deciding the optimal size of renewable-rich, isolated microgrids is challenging. Batteries and fuel cells are potential storage solutions for managing variability. However, a more trustworthy sizing approach is necessary to maximize power availability at the lowest possible cost, even in the face of uncertainty. Moreover, providing the microgrid owner with the opportunity to choose from a range of optimal solutions is also essential. Therefore, incorporating the uncertainty handling feature with the help of robust assessment under worst-case scenarios in the multi-objective optimization method can provide a more trustworthy solution. In this connection, a novel algorithm is proposed that instills robustness in the solutions provided by traditional non-dominated sorting genetic algorithm-II (NSGA-II), which can offer multiple break-even solutions. The isolated microgrids with PV, wind as sources, and storage technologies such as Lithium-ion (Li-ion) batteries, fuel cells, and a combination of both, a less explored scenario, have been compared to determine the effective storage option over the long run while considering uncertainties in renewable energy and load variations. The NSGA-II benchmark solutions developed under these uncertainties and variations are used to validate the robustness of the solutions obtained from the proposed robust algorithm. With a good trade-off between the cost and availability aspects, the proposed algorithm is found to be superior in getting maximum availability with minimum cost under uncertainties. |
| 英文关键词 | Capacity sizing; Microgrid; Energy storage; Robust multi-objective optimization; Uncertainty |
| 语种 | 英语 |
| WOS研究方向 | Engineering |
| WOS类目 | Engineering, Electrical & Electronic |
| WOS记录号 | WOS:001205423200003 |
| 来源期刊 | ELECTRICAL ENGINEERING
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/303962 |
| 作者单位 | Indian Institute of Technology System (IIT System); Indian Institute of Technology (IIT) - Bhubaneswar |
| 推荐引用方式 GB/T 7714 | . A robust optimal sizing of renewable-rich multi-source microgrid under uncertainties with multi-storage options[J],2024. |
| APA | (2024).A robust optimal sizing of renewable-rich multi-source microgrid under uncertainties with multi-storage options.ELECTRICAL ENGINEERING. |
| MLA | "A robust optimal sizing of renewable-rich multi-source microgrid under uncertainties with multi-storage options".ELECTRICAL ENGINEERING (2024). |
| 条目包含的文件 | 条目无相关文件。 | |||||
| 个性服务 |
| 推荐该条目 |
| 保存到收藏夹 |
| 导出为Endnote文件 |
| 谷歌学术 |
| 谷歌学术中相似的文章 |
| 百度学术 |
| 百度学术中相似的文章 |
| 必应学术 |
| 必应学术中相似的文章 |
| 相关权益政策 |
| 暂无数据 |
| 收藏/分享 |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
