Optimization configuration method for microgrid based on electric energy router

The electric energy router (EER) based on power electronic transformation technology provides a flexible and diversified electrical interface for micro-grid. This paper presents a typical microgrid model based on EER in which every electronic converter's efficiency curve is segmented according to its output level. Based on the microgrid model, an optimization configuration method to minimize the loss of the microgrid system is presented. The method uses genetic algorithm and it can configure the proportion of electric energy storage system (ESS) and photovoltaic (PV) system on the DC side and the AC side. The optimization method is compared with traditional optimization method. The results show that the proposed method is more efficient and flexible than the traditional configuration method in complex scenarios.