Research on active demand response based on multi-agent simulation

In view of the characteristics of active demand response, a multi-agent simulation system of active demand response behavior is proposed in the paper. We take resident user as an example, a multi-agent simulation system and the interaction mechanism contains two kinds of scheduling with electrical equipment is designed. Taking electricity cost minimum as the goal, electricity plan decision mode is established according to operation characteristics of each kind electric equipment and considering the price signals and the user electricity habit; in order to avoid the "rebound peak", the indicator variables to evaluate the active demand response behavior are proposed, taking the maximum power limitation as demand response signal and formulating real-time adjustment rules. Taking a residential user as a case, we analyze their participation in active demand response in electricity plan decision and real-time adjustment and studies the influence of electricity usage satisfaction on the use of electricity and evaluation indexes. The rationality of the proposed model and method are verified.