Two-stage robust optimisation of user-side cloud energy storage configuration considering load fluctuation and energy storage loss

Abstract

Recently, many industrial users have spontaneously built energy storage (ES) systems for participation in demandside management, but it is difficult for users to benefit from participating in demand response (DS) because of the expensive costs of ES construction. Therefore, this study proposes a cloud ES (CES) architecture that can reduce these costs by utilising users' complementary load characteristics and the scale benefits resulting from large-scale construction of ES equipment. Considering the DR and the uncertainty of the user load, this study applies two-stage robust optimisation to solve for the optimal configuration of CES. The proposed optimisation model is verified using the load data of an industrial park in Jiangsu Province, and the results clearly indicate that the proposed CES can be more beneficial than self-built distributed ES during the warranty period. The robust configuration results can be applicable even when the load changes within the maximum and minimum range.