A Flexibility Assessment Method of Thermal Storage Electric Heating Load Clusters

Based on the dynamic process modeling of heat loads, this paper puts forward a flexibility evaluation method for thermal storage electric heating (TSEH) load clusters. Firstly, heat load demand model is established. Then, the heat load demand power in different periods is calculated based on the temperature data from numerical weather prediction (NWP) at different periods of the next day. A dynamic model is established for the storage state of heat storage equipment. Under a peak-valley electricity price curve, an optimization model of heating equipment operation is established. Flexibility evaluation indexes are proposed for heat storage electric heating loads, including cross-period energy shift and real-time power flexibility. These indexes can be obtained through simulation. Case studies shows that the peak-valley electricity price can guide the TSEH load to shift from the peak load period to the valley load period, which alleviates the peak regulation pressure of traditional units. The upward and downward power regulation capacity of TSEH load can provide ancillary services such as automatic generation control (AGC), reserve to the power system, which is in favor to balance the power fluctuation of new energy generation.