A power management control and optimization of a wind turbine with battery storage system

Battery storage systems are an important alternative to compensate for wind turbine irregularities. This paper contributes to the feasibility of a wind energy installation with battery storage. In order to manage these different power sources, a power management control (PMC) strategy is developed and connected to the proposed twolevel MPPT controller. PMC provides an efficient optimal operation of two MPPT algorithms (torque and speed) and ensures minimal stress on the used storage batteries. A complete system with better performances is obtained by combining the advantages of both MPPT and PMC proposed methods. The obtained results highlight the positive impact of MPPT hybridization on the reduction of usage of battery storage system. The different wind turbine parameters were identified in our research laboratory. All these parameters have been used in simulation models in order to obtain more realistic mathematical models and the closest to the empirical data. The study was performed under Matlab/Simulink. The obtained results with the different comparisons are presented to show the best algorithm to be used in a wind energy system (WES) in terms of power, efficiency, response time, and effect on the battery state of charge.