Research on bidding strategy of virtual power plant considering carbon-electricity integrated market mechanism

Abstract

Distributed energy resources and controllable load can be aggregated in virtual power plant to participate in the bidding of day-ahead electricity market, intraday demand response market, regulation market, real-time electricity market and carbon trading market. However, the uncertainty output of distributed energy generation brings higher transaction risk to virtual power plant. Given this background, an operation model including wind turbine, electric vehicle, gas turbine and controllable load are constructed in virtual power plant. Through further analysis the carbon-electricity integrated market characteristics, a carbon-electricity integrated optimal bidding strategy of the virtual power plant is constructed, and the uncertainty of renewable energy power generation, load and market price is considered. Some assumptions are made, and a joint bidding strategy model for a VPP participating in bidding of the carbon-electricity integrated market is presented based on the robust optimization theory. Then, the commercial solver CPLEX 12.2 is next used to solve the developed robust optimization model. Finally, a virtual power plant demonstration area is used as the examples to demonstrate the feasibility and efficiency of the developed model and algorithm. The result shows that the electric vehicles and demand response transaction can effectively stabilize output fluctuation of renewable energy power generation, promote the utilization of renewable energy and improve the economic benefits of virtual power plant. Introducing carbon trading mechanism can significantly reduce the bidding output of high-carbon generation unit, and then affect the energy output structure and bidding strategy in virtual power plant.