Microgrid has been considered as a new green and reliable power system technique, especially for remote regions. In recent years, there is a steady increasing in studying optimal microgrid deploying and operation strategies. Multi-objective optimization is the most interesting approach for resolving these issues. The multi-objective optimization includes energy operation cost and emission pollutant cost. Potential benefits of using model predictive control (MPC) strategy for multi-objective dispatch problem in microgrid with fluctuant energy resources, such as solar, wind and alike are also presented by comparing with the strategy of day-ahead programming strategy and normal strategy with no battery energy storage. Simulation results show that the proposed model in this paper could reflect the actual characteristics of microgrid more precisely.
An analysis of energy storage system interaction in a multi objective model predictive control based energy management in DC microgrid
