气候变化领域集成服务门户(CCPortal): A robust optimal sizing of renewable-rich multi-source microgrid under uncertainties with multi-storage options

CCPortal

DOI	10.1007/s00202-024-02331-w
	A robust optimal sizing of renewable-rich multi-source microgrid under uncertainties with multi-storage options
	Krishna, P. V. N. Mohan; Sekhar, P. C.; Behera, T. R.
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/303963
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	Krishna, P. V. N. Mohan,Sekhar, P. C.,Behera, T. R.. A robust optimal sizing of renewable-rich multi-source microgrid under uncertainties with multi-storage options[J],2024.
APA	Krishna, P. V. N. Mohan,Sekhar, P. C.,&Behera, T. R..(2024).A robust optimal sizing of renewable-rich multi-source microgrid under uncertainties with multi-storage options.ELECTRICAL ENGINEERING.
MLA	Krishna, P. V. N. Mohan,et al."A robust optimal sizing of renewable-rich multi-source microgrid under uncertainties with multi-storage options".ELECTRICAL ENGINEERING (2024).