Abstract: In order to enhance the capacity of wind power utilization,with the guidance of Demand Response,this paper uses the timeof-use electricity price strategy to achieve the goal of shaving peak and filling valley.Meanwhile,thermal energy storage is added into CHP（combined heat and power） to decouple "thermal-electro" constraint and improve the ability to load capacity.In this paper,with the aim of minimum system coal consumption,a joint optimal operation model is established including CHP with thermal energy storage,wind power,conventional thermal power units,and demand response.Such factors as the cost of CHP,the operating and maintenance cost of the wind power,and constraints of thermal balance and power balance are comprehensively considered.The proposed model is solved by using an improved particle swarm optimization algorithm based on simulated annealing,and the effectiveness is verified by comparison under different modes with or without demand response and thermal energy storage.