This work suggests an integration procedure for a ESS (Energy Storage System) control algorithm into optimization control strategies minimizing cost functions for a microgrid system. This approach is based on a modification of the optimization strategy for adding absorption and flotation stages after each bulk charge to preserve the battery lifetime. These stages are computed out of the optimization program to reduce both computation complexity and convergence problems. Simulation results have confirmed the feasibility of this procedure at expenses of only a slight cost function increase, which can be assumed to preserve the battery lifetime.

Peer Reviewed