In order to absorb large scale wind power generation and improve the peak shaving capacity of the grid, regenerative electric heating is combined with wind power possessing anti-peak regulation characteristics and a joint operation mode is established. In this mode, we consider the related constraints of wind turbines, thermal turbines, and regenerative electric heating. This has the goal of minimizing the total power generation cost of the system. An optimal operation model of regenerative electric heating load participating in wind power consumption is constructed. The adapting genetic algorithm is used to solve the model and the regenerative electric heating load participation in the grid interactive optimization operation strategy is obtained. The simulation results show that the operational strategy is effective and practical, and improves the wind power absorption level of the system from the perspective of the power source side, enhances the peak regulation ability of the system from the perspective of the grid side, and alleviates the peak shaving pressure caused by wind power connection to the power system. This work is supported by the Science and Technology Project of State Grid Corporation of China “Optimal Configuration and Interactive Key Technologies Research and Application of Regenerative Electric Heating” (No. SGTJDK00DWJS1900101).