The Optimal Operation and Revenue Allocation Method of Virtual Power Plant Considering Carbon Trading

Abstract

Virtual Power Plant (VPP) participates in the electricity market transaction by aggregating many distributed wind power generation and energy storage to promote the consumption of new energy. At the same time, it can also bring the environmental benefits of VPP by participating in the carbon trading market. This paper aims at the coordinated operation of VPP in the spot electricity market and carbon trading market and consider wind power and photovoltaic output uncertainty of income risk, and the coupling between electricity trading and carbon emission rights trading, a two-stage optimal operation model of VPP considering carbon emission trading is established, gives the optimal bidding strategy of VPP in the electricity market. Conditional Value at Risk (CVaR) is used as the risk measure in the proposed bidding framework. The different risk-aversion level of each independent members in VPP are taken into account. Then, based on the Shapley value of cooperative game theory, the contribution degree of each member in VPP is calculated, and the benefit distribution of VPP internal members is carried out. Finally, the rationality of the proposed bidding strategy and revenue allocation method is verified by an example.