Optimized Configuration of Thermal Storage Electric Heating Double Layer Considering Wind Power Consumption and Thermal Comfort Elasticity

Thermal storage electric heating has become an important flexible regulating resource for the winter heating period in Northwest China because of its adjustable power consumption period and economic and flexible operation. Reasonable thermal storage electric heating capacity planning can improve wind power consumption and enhance the system's operating economy. Therefore, this paper proposes a dual-layer optimization configuration method for thermal storage electric heating that considers thermal comfort elasticity and enhances wind power consumption. By introducing the predicted mean vote (PMV) index to quantify user thermal comfort, the thermal balance interval constraint is established based on the limited range of thermal comfort elasticity. Based on the analysis of the impact of system wind power consumption and thermal comfort elasticity on the configuration of thermal storage electric heating capacity, a dual layer optimization configuration model for thermal storage electric heating that considers both wind power consumption and thermal comfort elasticity is established. The upper layer uses wind power consumption and thermal comfort elasticity as the basis, and the upper layer establishes a thermal balance interval constraint. The goal is to minimize the annual total cost of the heating system, and the goal is to minimize the typical daily operating cost of the system at the lower level. The optimal capacity configuration and system operation plan for thermal storage electric heating is iteratively solved at the upper and lower levels. Finally, based on actual examples, the proposed thermal storage electric heating configuration method is verified to improve wind power consumption and overall system economy while ensuring heating comfort. © 2024 Power System Technology Press. All rights reserved.