Abstract: Because of the existence of numerous renewable distributed generators with output fluctuation in the virtual power plant,such as wind turbines,in order to quantify the profit risk in virtual power plant energy trading due to uncertainty of wind turbine output,after the uncertainty factors of wind turbine output are taken into consideration,a benefit-risk model of virtual power plant in energy market including operation cost,electricity-sale revenue and trading revenue is developed by the method of worst-case conditional value-at-risk（WCVaR）,which is solved by the genetic algorithm.The output of different generating units,benefits and carbon emission reductions are analyzed at different risk levels through case study,and the different values of WCVaR in virtual power plant energy transactions at different risk levels are analyzed as well,which proves the validity of the proposed model while providing theoretical support for analysis of the effect of wind turbine output on the revenue,risk,and carbon reduction of the virtual power plant.