In allusion to the intermittency and uncertainty of wind power output

we propose a dynamic

economic

and environmental coordination dispatching model for power systems with wind farms after taking the energy storage system and demand side management into consideration. Incorporated with the probabilistic model of wind power output

the chance constraint including the random variable is converted to the deterministic constraint. Thereby

the multi-objective dispatch model with wind farms and flexible resources is established. Moreover

an improved multi-objective particle swarm optimization algorithm based on crowding entropy（IMOPSO-CE） is put forward to solve the above model. Finally

taking a system composed of six thermal power units and one wind farm as an example

we compare and analyze the simulation results under different scheduling scenarios. It is demonstrated that the model proposed is reasonable and the IMOPSO-CE algorithm is effective

which can provide a new idea for solving dynamic economic environmental dispatch problem for power systems integrated with wind farms.