Optimal planning of shared energy storage for wind-solar-thermal distributed energy system clusters based on improved renewable energy forecasting

Aiming at wind-solar intermittency and low coupling between renewable energy forecasting and shared energy storage (SES) planning in wind-solar-thermal distributed energy clusters, this paper proposes a two-stage framework combining high-precision power forecasting and multi-objective SES planning. A VMD-EO-SVM model improves prediction accuracy. A multi-objective planning model minimizes operating costs and maximizes renewable energy accommodation. Case results verify its effectiveness for low-carbon cluster operation.