The uncertainty of wind farm power and load has a certain impact on the economic dispatch of power system. This paper deals with the forecasting errors of wind farm power and load based on the fuzzy stochastic theory. The fuzzy chance condition for spinning reserve has been established and transformed into a clear equivalence class. In the carbon trading mechanism

considering the effect of flexible load response on the power system economic dispatch

the nonlinear cost and carbon emission compensation cost of flexible load response are introduced to the objective function. A multi-objective model with the largest carbon trading revenue and the lowest integrated power generation cost has been developed. Meanwhile the flexible load constraint is added in the model. The discrete bacterial colony chemotaxis algorithm is used to deal with the model

and the optimal solution of the model has been obtained by the compromise strategy based on partial small satisfaction. Finally

the feasibility of the proposed model is verified through the comparison between four scheduling models.