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An innovative framework for electrical energy storage system selection for remote area electrification with renewable energy system: Case of a remote village in India
Journal of Renewable and Sustainable Energy ( IF 1.9 ) Pub Date : 2020-01-01 , DOI: 10.1063/1.5126690
Anil Kumar Singh Maisanam 1 , Agnimitra Biswas 1 , Kaushal Kumar Sharma 1
Affiliation  

Electrical energy storage is a promising solution to overcome the intermittency and demand-supply mismatch problem in hybrid renewable energy systems. The objective of the present study is to prioritize ten electrical energy storage systems by using an innovative ranking framework, considering different criteria. Further, a techno-economic study of a hybrid renewable energy system is performed for rural area electrification, where the present selection strategy of the storage system is incorporated in the system design. Due to the conflicting nature of these criteria, a fuzzy assisted Technique for Order of Preference by Similarity to Ideal Solution method based framework is employed for its prioritization. The effect of variation of the weights on the criteria is also investigated through a sensitivity analysis. The framework is used to design an optimum hybrid renewable energy system for a remote village in India using the Hybrid Optimization Model for Electric Renewables tool. The results of the rankin...

中文翻译:

可再生能源系统偏远地区电气化电能存储系统选择的创新框架:以印度偏远村庄为例

电能存储是克服混合可再生能源系统中的间歇性和供需不匹配问题的有前途的解决方案。本研究的目的是通过使用创新的排名框架,考虑不同的标准,对十个电能存储系统进行优先排序。此外,对农村地区电气化的混合可再生能源系统进行了技术经济研究,其中存储系统的当前选择策略被纳入系统设计。由于这些标准的冲突性质,基于与理想解决方案方法相似的偏好顺序模糊辅助技术被用于其优先级排序。还通过敏感性分析研究了权重变化对标准的影响。该框架用于使用电力可再生能源混合优化模型工具为印度偏远村庄设计最佳混合可再生能源系统。排名结果...
更新日期:2020-01-01
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