ISSN 1674-0629
CN 44-1643/TK
CN 44-1643/TK
Optimal Dispatching of Virtual Power Plant Containing Electric Vehicles in Multi-Cooperative Market
Ruidong WANG , Jiekang WU , Zhihong CAI , Guoxin LIU , Hongye ZHANG , Jinjian CAI
›› 2021, Vol. 15 ›› Issue (12) : 45 -55.
Optimal Dispatching of Virtual Power Plant Containing Electric Vehicles in Multi-Cooperative Market
With the implementation of "carbon emission trading management measures"in China, the virtual power plant (VPP) is an effective means to solve the fluctuation of large-scale distributed energy and electric vehicle access to the grid, and its scheduling optimization in the carbon trading market and other energy markets have become a research hotspot. In this context, the virtual power plant in this paper introduces electric vehicles, electricity-to-gas, and carbon capture equipment, and uses the combined effect of electricity-to-gas and carbon capture equipment to make the electricity market, natural gas market, and carbon trading markets are united to form a multi-cooperative market. Taking into account the uncertainties of wind and photovoltaic, an optimal scheduling model of virtual power plants with electric vehicles is established in the multi-cooperative market. The charging and discharging management of electric vehicles and the multi-market transaction framework are introduced. In the multi-cooperative market, the highest total revenue is the objective function, including multi-cooperative market transaction revenue, various equipment costs, and electric vehicle compensation costs. Finally, a commercial solver YALMIP/CPLEX is used to solve the established optimization model, and the results of calculation examples show the rationality and economy of the established model.
virtual power plant / robust scheduling optimization / electric vehicle / carbon trading market / multi-market
National Natural Science Foundation of China(50767001)
Regional Joint Fund Project of Basic and Applied Basic Research Fund of Guangdong Province (Research Team Project of Guangdong, Hong Kong and Macao)(20201910260000002)
Science and Technology Plannning Project of Guangdong Province(2020A050515003)
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