Optimal Allocation of Flexible Resources for Park-level Electric Heating Integrated Energy System Considering Demand Response

To further improve the flexibility and renewable energy consumption ability of the integrated energy system, a two-layer optimization model for the park electricity-heating integrated energy system was proposed considering demand response requirements. By incorporating the uncertainty of renewable energy contributions and considering the characteristics of flexible resources, the electricity and thermal flexibility indicators of the integrated energy system were established for evaluation. In terms of demand response, the fuzzy C-means method was utilized to determine the time-of-use interval and reasonable time-of-use electricity price. The optimal configuration of the integrated energy system considers the participation of interruptible load and transferable load simultaneously. With all kinds of flexibility resources taken into account, a two-level optimal configuration model was established for electricity-heating integrated energy system in the park, aiming to optimize equipment capacity at the upper level and unit operation at the lower level. The calculation results indicate that the reasonable allocation of flexible resources can effectively reduce wind and solar curtailment rates, improve the system economy, and mitigate the insufficient flexibility rate through the integration of flexible resources. This enables rapid response to load and improve the absorption capacity of renewable energy.