Multi-objective optimal allocation and performance evaluation for energy storage in energy systems

Xue Kong, Hongye Wang, Nan Li and Hailin Mu

Energy, 2022, vol. 253, issue C

Abstract: The optimal utilization of an energy storage system (ESS) is key to transforming energy systems from coal to renewable base. This study proposed a multi-objective optimization method for designing energy systems, a multi-criteria evaluation method for analyzing ESS and its suitability in an energy system, and a novel ESS scheduling strategy. A grid-connected energy system including wind power, photovoltaic, and ESSs was considered for responding to electricity demands, wherein multi-criteria assessments for technical, economic, and environmental aspects, with total cost and self-sufficiency as the objective functions, were implemented. The results demonstrated the significant potential of ESS through comparisons of performance of energy systems with and without ESS. In fact, self-sufficiency and self-consumption improvement can reach 21.57% and 32.84% respectively, and the non renewable primary energy consumption and CO2 emissions both up to 60.63% could be avoided. This study provides practical guidance for preliminary energy system analysis and construction planning as well as technical support for policy makers when deciding on project construction.

Keywords: Energy system design; Energy storage system (ESS); Scheduling strategy; Indicator analysis (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:253:y:2022:i:c:s0360544222009641

DOI: 10.1016/j.energy.2022.124061

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