Dynamic optimal operation scheduling of microgrid using binary gravitational search algorithm

With the emergence of energy crisis and environmental pollution, the concept of microgrid (MG) is receiving much attention today. The optimal operation scheduling is an important research topic in the field of MG. In this paper, binary gravitational search algorithm (BGSA) is proposed to optimize the operation scheduling of MG dynamically, which includes dynamic optimal unit commitment and power dispatch. At first, according to the characteristics of MG operation and its internal relations between different time periods, a mathematical optimization model is established to achieve the least operation and environmental cost, while meeting the load demand and system operating requirements. In order to solve this complex optimal problem, BGSA is proposed to optimize the unit commitment and power dispatch of MG. The simulation results show that the proposed method has efficient performance in optimizing operation scheduling of MG dynamically, and thus can improve the technical level of MG operation for more economic and environmental benefits.