Multi-time scale operation optimization of integrated power and thermal system considering load disturbance

Energy storage potential of district heating system (DHS) is a promising solution to accommodate surplus wind and solar power. Existing researches often neglect nonlinear heat transport processes and diverse characteristic times in DHS, which makes comprehensive simulation of integrated power and thermal system (IPTS) challenging along with real-time active control. This study proposes a multi-time scale operation optimization method of IPTS considering load disturbance and water flow control. The day-ahead rolling dispatch of IPTS is first conducted by real-time quantifying the state of charge of DHS, and then proposes a multi-time scale adjustment strategy with consideration of water flow control in secondary heating network (SHN). The impact of load disturbance and water flow control on the operation of IPTS is also investigated. Results indicate that wind power can be accommodated up to 94.91 % through fully utilizing the heat storage capacity of DHS. If a consumer is subjected to periodic heat load disturbance, the average deviations of the output powers of combine heat and power, wind power, and thermal power units are reduced to 4.8 %, 0.3 %, and 3.5 %, respectively, after regulating the water flow rate in SHN properly.