Control Strategy for Optimizing Energy Management in Microgrid System Using Adaptive Control

Recently, the development of microgrid system is growing rapidly. Energy such as sun, wind, ocean, wave currents, and geothermal are alternative energy in developing Renewable Energy Sources (RES) in the microgrid system. Most commonly hybrid RES system in the microgrid is a combination between Photovoltaic (PV), ESS and diesel generation. To implement the hybrid RES, the combination strategy control is needed. One of the main motivations using energy management in the microgrid is that they are capable of managing and coordinating diesel generators, storages, RES and loads to optimize the RES for cost efficiency. In this paper, the optimized energy management for the hybrid RES system combined by PV, Li-ion battery ESS, and diesel generator is proposed. To accommodate the diesel generation condition, the developed control strategy is the economic dispatch for fuel cost optimization in diesel generation using combination of the Lagrange multiplier and lambda iteration method and the optimization in energy management operation using an Adaptive Model Predictive Control (AMPC) with the lifetime constraint of batteries. Finally, the proposed control algorithm is verified through the PSiM simulation results.