Distributed Optimal Microgrid Energy Management With Considering Stochastic Load

Abstract

The uncertainty of load is a challenging issue for power systems. These uncertainties can damage the power systems and even cause blackout. Therefore, it is necessary to handle this problem. In this paper, a method for energy management in microgrids with stochastic load is proposed. The design is performed through solving a nonlinear optimization problem. In the centralized optimization technique, high computational capabilities are needed and the customer's privacy might be infringed. On the contrary, in distributed techniques, the power network and its constraints are neglected since it is assumed that all loads and generations are connected to one bus. Consequently, in the proposed distributed energy management strategy (EMS), the optimization problem is decomposed into two optimization levels, which consist of the microgrid centralized controller and local controllers and the distribution network and the corresponding constraints are taken into account. Since the precise prediction of the load is not accessible, the load is assumed stochastic. The proposed distributed EMS is integrated with diesel generators, wind turbines, photovoltaics, and a battery storage system. The simulation results depict the efficiency of the proposed distributed EMS.