The combined heat and power system effectively integrates electricity and heat energy, providing significant advantages in energy utilization. To analyze the economic and energy-saving effects of combined heat and power dispatch, an optimization dispatch model is developed considering time-of-use electricity prices and load fluctuations, which includes wind farm, energy hub, heat pump, and heat storage tank. The optimization objective is to minimize daily operating costs while considering practical constraints such as steady-state combined electrical and thermal power flow, dynamic characteristics of energy storage device, and pipe temperature drop equations. To enhance optimization efficiency, equation linearization and piecewise McCormick convex envelope technique are utilized, transforming the original non-convex optimization problem into a mixed integer quadratic programming （MIQP） problem. The proposed model's validity is verified through case studies, comparing the impact of wind-to-heat conversion and heat transfer loss on daily operating costs and wind curtailment in four scenarios. The optimal connection node for integrating the wind farm into the heating network was also identified. The results demonstrate the system's capability to convert unstable wind energy into stable heat energy, thereby enhancing wind energy integration capacity and improving overall economic performance.