The Day-Ahead Bidding Strategy of Virtual Power Plant for Participating in Electric Energy Market and Peak Regulation Market

Faced with the problem of peak load balancing in new power system caused by distributed energy grid connection, this paper proposed that virtual power plant can aggregate flexible demand-side resources to provide peak load balancing auxiliary service, and solve the problem of insufficient power supply in peak load period by means of peak load clipping. When the virtual power plant participates in the electric energy market and peak regulation market, the operator's bidding decision needs to consider the coordination and cooperation with the external market and internal members. This paper has proposed a kind of day-ahead bidding strategy for the virtual power plant operator to participate in the electric energy market and peak regulation market externally and cooperate with internal members. A bidding model of operator participation in day-ahead power market was established and solved by particle swarm optimization. Finally, an example was given to prove the rationality and effectiveness of the proposed strategy.