Adaptability Evaluation of Energy Storage Working Conditions in Different Application Scenarios

Abstract

Aiming at the lack of standard evaluation system for the planning of energy storage power stations under multiple application scenarios of renewable energy connected to the grid, this paper proposes a planning method of energy storage power stations under multiple application scenarios based on objective weighting method. According to the characteristic and cost technology indicators of different energy storage batteries, an evaluation system of the selection for energy storage batteries under multiple application scenarios based on multi-objective and multi-attribute is established, and the weight and adaptability index $\chi$ of various energy storage batteries are calculated by the CRITIC method. The validity and correctness of the proposed method are verified by a simulation example, and Lithium-titanate battery (LTB) is currently the most suitable energy storage system for power smoothing and tracking planned output applications. The method proposed in this paper provides a theoretical basis for the planning of energy storage power stations under multiple application scenarios.