Potential Evaluation Method for Aggregated Demand Response Resources Based on User Pattern Recognition

Demand Response is an effective method to reduce peak load of the grid and relieve the power supply pressure. Accurate area demand response potential evaluation for power companies is the basic for demand response implementation. Therefore, this paper proposes a potential evaluation method for aggregated response resources based on user pattern recognition. This method obtains typical resource types in the resource pool by clustering massive users' electricity consumption characteristics and analyzing their response willingness. Through this method, users with high response potential are identified and the overall potential of the aggregated resource pool is evaluated. Simulation results show that the proposed algorithm can successfully recognize user patterns and obtain the aggregated potential of the resource pool. The results can provide scientific guidance for resource expansion planning.