Abstract: Wind farms are developing rapidly under the new policy on energy resources vigorously advocated by the state. Its output scheduling is very complex, and needs the integration of economic and environmental factors. Aiming at the large prediction error of wind power, in the dynamic environmental economic dispatch of wind farm, the cost of rotating reserve is taken into account within the generation cost, and the demand of wind power prediction error for rotating reserve capacity is taken into account within the constraint condition. Aiming at the minimum total cost of power generation, the minimum total pollutant emission and minimum total cost of electricity purchase, a dynamic environmental and economic dispatching model of wind farm is established. Non-dominated Sorting Genetic Algorithm-III is used to obtain diverse solution sets and good convergence. The simulation of a five-machine power system with a wind farm verifies the rationality of the proposed dynamic environmental economic scheduling scheme based on multi-objective wind farms.

Key words: wind farms, dynamic environmental economic scheduling model, rotating reserve capacity, multi-objective optimization, Non-dominated Sorting Genetic Algorithm-III