Wind power and other clean energy sources are continuously increasing their share in the grid, posing significant challenges to peak load regulation. To promote the integration of wind power, a source?load side joint optimization peak regulation method is proposed, which combines heat and power generation (CHP) units including heat storage capabilities with deep adjustments in thermal power generation. On the source side, CHP units are equipped with thermal storage devices, combined with deep peak regulation technology from thermal power units, to increase the capacity for wind power integration. On the load side, considering user response, users are guided to proactively optimize their electricity consumption curves through dynamic time?of?use pricing, improving the phenomenon of wind power anti?peak regulation. The joint optimization model aims to minimize the overall operational scheduling cost of the system, taking into account source?side thermal storage constraints, thermal power unit lifespan loss costs, and load?side user response satisfaction constraints. Calculation example results demonstrate that this model is capable of maximizing the optimization of system peak regulation while ensuring user satisfaction with electricity consumption and minimizing scheduling operational costs, effectively reducing the curtailment of new energy sources.