Electro-thermal Joint Scheduling Considering Thermal Inertia, Thermal Comfort Level and Thermal Loss Uncertainty

To address the issues of wind curtailment caused by electro-thermal coupling and real-time balancing of both electricity and thermal loads in traditional cogeneration scheduling, it is imperative to explore the regulation potentials on both the heat-supply network and the thermal load sides. In order to refine the thermal transmission process on the heat-supply network side, the thermal inertia with thermal loss and thermal delay is considered; while on the thermal-load side, we introduce the predicted mean vote (PMV) as a measure of thermal comfort level to determine the range of heat supply temperature. An optimal scheduling model of electro-thermal joint system is established with thermal inertia and thermal comfort level taken into account. The model considers the correlation between thermal comfort level and heat-supply temperature range, and the traditional real-time thermal equilibrium equation constraint is transformed into the thermal system inequality constraint of thermal inertia and thermal comfort level by incorporating the correlation between thermal comfort level and heat-supply temperature range. Due to the uncertainty of thermal loss caused by temperature randomness, the information gap decision theory (IGDT) is employed to transform the optimal scheduling model of the combined electro-thermal system into a stochastic optimization model. The simulation results demonstrate that the comprehensive consideration of thermal inertia and thermal comfort level of thermal load can improve the wind power consumption rate in scenarios with excessive wind power fluctuation or peak pressure. Additionally, the scheduling scheme obtained by the IGDT method has strong robustness to heat loss fluctuations.