A study of bidding strategies for virtual power plants with carbon capture to participate in the coupled electricity-carbon market
XU Xiaomin
YUAN Jiaqi
NIU Dongxiao
ZHANG Zhonggui
Abstract：Under the dual carbon target,carbon capture and storage can effectively reduce carbon emissions,but will affect economic efficiency.For the problem of VPP(virtual power plant)participating in the energy,reserve market,and carbon trading in the electricity-carbon coupling market considering carbon capture,a double-layer bidding model considering carbon capture was established based on the Stackelberg game model.Firstly,this paper analyzes the mode of the coupled electricity-carbon market;secondly,the net generation,net carbon emissions,and carbon emission quota models of the VPP are established;then,the double-layer bidding model is established,with the leader being the VPP operator and the follower being the dispatching and trading center(DATC)of the power market operator;finally,the problem is solved by the branch-and-bound method and the particle swarm optimization algorithm.Through the example verification,the model can provide the optimal bidding strategy for the VPP participating in the electricity-carbon coupling market considering carbon capture,which is reasonable and effective.
Keywords：virtual power plantcarbon capture technologyelectricity-carbon coupling marketStackelberg gamebranch-and-bound method
Publication Date：2025-01-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：9( 151-159 )