A fuzzy coordinated energy management strategy for energy storage units in DC multiport energy router

Abstract As the proportion of new energy in power systems continues to increase, the widespread use of solar and wind-based distributed generation (DG) power in DC distribution networks will face problems such as new energy consumption, grid stability, and economical benefits in the future. At present, energy management strategies for photovoltaic (PV) grid-connected power generation systems are mainly researched in the field of AC–DC distribution network. This paper provides an advanced energy management strategy of the DC multiport energy router. Considering the battery state of charge (SOC), real-time electricity price (EP), and user-side electricity charge (EC), an energy management scheme based on the fuzzy coordinated control strategy is designed to improve the utilization of energy storage batteries and the economic benefits. A 20 kVA multi-port DC energy router simulation platform is established and verified in MATLAB/Simulink. The results show that the energy management strategies based on fuzzy coordinated controller can solve the multi-objective problem. Compared with traditional control strategies, the fuzzy collaborative energy management strategy has a more comprehensive optimization effect.