Multi-Microgrids Energy Management in Power Transmission Mode with Considering Uncertainties

Concepts of microgrids have become a key issue in smart grids today. Increasing the penetration of microgrids in the power grid causes the complexity of power management between them, to solve which a broader concept called multi-microgrids systems is proposed. A multi-microgrids system also uses different sources of complementary power and effectively coordinates the energy exchange between the microgrids and the main grid to improve the stability, reliability, and energy efficiency of the system. Dividing distribution systems into a number of microgrids will enable us to make greater use of future distribution systems. In this research, an energy management system for controlling interconnected microgrids is expressed to manage power exchanges between both microgrids and each microgrid with the main grid. Multilayer neural networks have also been used to predict the uncertainty parameters of the problem. Finally, the proposed method is performed on a multi-microgrids system connected to the upstream grid with the presence of renewable and non-renewable resources and various operating scenarios are implemented on it. The simulation results show the presented energy management efficiency in reducing the system costs and the effect of the presence of demand response programs in reducing the cost of the operating of multi-microgrids systems.