Analysis of Low Carbon Economic Operation of Virtual Power Plants Considering Carbon Trading and Demand Response
In order to cope with the problems of increasing carbon emissions and clean energy consumption,a low-carbon economic operation model of virtual power plant is established based on the transferable,translational,and reducible characteristics of flexible loads,with the optimization goal of minimizing the system operation cost and carbon trading cost.Matlab+Yalmip toolbox is used to call the Cplex solver to solve the case.By comparing and analyzing different scenarios,it is verified that under the carbon trading system,the reasonable scheduling of flexible loads plays a role in the virtual power plant to further reduce carbon emissions and system costs.The simulation results show that under the carbon trading system,the rational scheduling of flexible loads can effectively improve the comprehensive economic and environmental benefits of the system as well as the flexibility and risk-resistance of the power system,which will provide strong support for the healthy development of China's power market.
virtual power plantflexible loadcarbon tradeoptimized schedulingdemand response