An evaluation method for heterogeneous flexible resource regulation capability from demand side of distribution networks

With the increasing penetration rate of renewable energy, the difficulty of matching supply and demand in distribution networks also increases. It is necessary to fully explore the regulatory potential of flexible resources on the user side. To assess the regulatory capacity of multiple types of flexible resources on the user side of distribution networks, first, a regulatory capacity assessment framework for distribution network flexible resource clusters is proposed, which includes two levels: node level and system level. Secondly, based on the Conditional Value at Risk (CVaR) model, response models for user-side flexible resources such as heating, ventilation, and air conditioning (HVAC), electric vehicles (EVs), and energy storage system (ESS) are established, obtaining node-level flexible resource adjustable capacity indicators. Then, we take the minimum daily system load peak-to-valley difference and the maximum daily renewable energy absorption as the objective functions, and comprehensively considering the operational constraints of the distribution network and the regulatory constraints of flexible resources, a system-level flexible resource adjustable capacity assessment model is established. Finally, a case study was conducted in the Portugal 54-node system, and the results show that the proposed method can effectively quantify and evaluate the regulatory capacity of multiple types of flexible resource clusters in distribution networks.