A Smart-Community Demand Respsonse Load Scheduling Method Based on Consumer Clustering

Aiming at the multi-user daily load demand response problem of smart power utilization community in complex smart power environment, this paper proposes a clustering demand response analysis method that takes into account the user's power utilization behavior. Firstly, with the schedulable load and unschedulable load as constraints, this paper establishes a demand response model with minimum load fluctuation as the optimization target. Then this paper expounds the process of model solving. After clustering user behavior, this paper divides the user into different logical sub-regions. Finally, this paper solves the model by using the particle swarm algorithm. Simulation results verify the effectiveness and feasibility of the proposed method.