Abstract: The proposal of the carbon peaking and carbon neutrality goals and the construction of a new power system make the grid-connected consumption of wind power and other new energy more urgent. The thermal power units in the "three northern areas of China" are mainly combined heat and power (CHP) units. The operation mode of "fixing electricity by heat" in the heating season makes the minimum forced output of CHP units unable to be reduced, which seriously crowds out the grid of wind power space, thermo-electrolytic coupling is an effective way to solve this problem. A coordinated planning model for multi-CHP thermo-electrolytic coupling is proposed that takes into account wind power volatility and load-side demand response (DR). In this model, the load side is firstly modeled for electricity price-based DR, and then the wind power is modeled with box constraints and optimized processing with improved light robust (ILR) model. Finally, a planning model is established with the goal of maximizing the sum of the retrofit capacity of the multi-CHP unit thermo-electrolytic coupling and the lowest operating cost of the system after decoupling. Taking the improved IEEE24 node system as an example for simulation analysis, the results show that the proposed model can coordinate the contradiction between the retrofit capacity and retrofit cost of multiple CHP units, reduce the forced output of CHP units, and effectively improve the wind power consumption capacity of the system.