Research on Day-ahead and Real-time Schedule Strategy for AND

Active distribution network (ADN) is the key to accommodate distributed energy resources and to meet the requirement for power supply reliability of distribution system. By considering the diversification and the gradual expansion of DER, the day-ahead and real-time scheduling method of ADN is proposed based on multi-agent system (MAS). MAS is applied to implement divisional control of ADN, to build day-ahead and real-time optimized scheduling model of AND, which decouples the dispatching of ADN at space and time level. Day-ahead and real-time scheduling model is established to ensure economy of the day-ahead optimized scheduling and the immediacy of the real-time optimized scheduling. In addition, differential evolution (DE) algorithm is used to solve the model. In the end, day-ahead optimized schedule strategy of ADN is determined through IEEE33-bus system simulation, and is real-time optimized in a chosen typical time segment. The simulation results verify the feasibility and effectiveness of the proposed strategy.