AUTHOR=Zuo Juan , Xu Chongxin , Wang Wenbo , Ji Yu 

TITLE=Distributionally robust optimization for virtual power plant clusters considering carbon emission-based dynamic dispatch priority

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 11 - 2023

YEAR=2023

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2023.1214263

DOI=10.3389/fenrg.2023.1214263

ISSN=2296-598X

ABSTRACT=Virtual power plant (VPP) is an effective way to manage distributed energy resources. Virtual power plant cluster (VPPC) is constructed due to the increasing number of VPPs. It has great potential in carbon emission reduction through coordination between VPPs. Therefore, a dynamic dispatch priority model is proposed. The model adjusts the dispatch sequence of VPPs based on the carbon emissions. The higher carbon emissions, the lower dispatch priority. And the VPPC participates in carbon trading. The carbon trading cost is included in the optimization objective. There are still many uncontrolled distributed energy resources e.g., wind power, out of the VPPC. The distributionally robust optimal method is used to deal with the uncertainty of wind power. Finally, this paper proposes a two-stage distributionally robust optimal model of VPPC considering carbon emission-based dynamic dispatch priority. This model can be solved by column-and-constraint generation (C&CG) algorithm. A VPPC with 4 VPPs is used in case studies, which verifies the economic and low-carbon of the proposed model.