Optimal dispatch for grid-connecting microgrid considering shiftable and adjustable loads

With the widespread use of smart appliances in the residential area, the load side of the microgrid is becoming more and more flexible. As we all know, the renewable energy generation is usually uncontrollable, so how to dispatch the controllable generation devices, storage system and flexible loads to guarantee the safe and economical operation of the microgrid is a very important problem to be solved. In this paper, a two-phase optimal strategy is proposed to deal with the optimal problem. In the first phase, the flexible loads are optimized to maximize the power consumption provided by renewable energy generation system. Then the day-ahead economic optimal dispatch problem is established to minimize the operating costs and environmental costs based on the optimized loads demand, and the Quantum behaved particle swarm optimization (QPSO) algorithm is adopted to solve it. Finally, a typical grid-connecting microgrid is taken as the study case, and the simulation results show that the reasonable use of the flexible loads can not only play the role of peak shifting and valley filling in electricity, but also increase the utilization rate of renewable energy, thereby reducing operating and environmental governance costs.