An innovative framework for electrical energy storage system selection forremote area electrification with renewable energy system: Case of a remote village inIndia

Electrical energy storage is a promising solution to overcome the intermittency anddemand-supply mismatch problem in hybrid renewable energy systems. The objective of thepresent study is to prioritize ten electrical energy storage systems by using aninnovative ranking framework, considering different criteria. Further, a techno-economicstudy 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 systemdesign. Due to the conflicting nature of these criteria, a fuzzy assisted Technique forOrder of Preference by Similarity to Ideal Solution method based framework is employed forits prioritization. The effect of variation of the weights on the criteria is alsoinvestigated through a sensitivity analysis. The framework is used to design an optimumhybrid renewable energy system for a remote village in India using the Hybrid OptimizationModel for Electric Renewables tool. The results of the ranking show that pumped hydrostorage, compressed air energy storage, and lead-acid batteries are the top threeelectrical energy storage systems that present more benefits for renewable energyintegration for the present case. Moreover, adopting a storage system selection strategycan further reduce the cost of energy of the system. Therefore, the present frameworkprovides a systematic procedure of storage system selection for renewable energyintegration by considering different conflicting criteria for case-specificapplication.