Efficient Operation and Disaggregation Method for Distributed Resources with Risk Consideration and Zonotope Modeling

The popularity of distributed resources (DRs) on the distribution network (DN) side provides great potential for interaction with the power grid. However, the volume of resources is not enough to support their independent participation in the market, so the aggregation and unified scheduling of DRs has become a hot topic in current research. This paper proposes a DRs aggregation, regulation, and instruction decomposition method for energy communities. It is worth noting that this study, based on Zonotope and conditional value at risk (CVaR) theory, solves the problem of concurrent regulation of user-side resources and community resources, and weakens the impact of external environmental uncertainty on system regulation. Through simulation experiments and case studies, the significant results of this method in the economic benefits of energy community entity and user entities are verified.