Hierarchical control of hybrid power systems

In this thesis, we present a Hierarchical control of Hybrid Power Systems (HPS) that consist of a Wind Turbine, Photovoltaic Panels, connection to the AC utility, a Battery Bank, and a zonal model of a load. The hierarchical control system consists of lower level controllers for each generation and storage component developed using Sliding Mode Control (SMC), and Model Predictive Control (MPC). The supervisory controller objective is to supply the energy demand while maximizing usage of renewable sources, minimizing connection to the grid, and effective use of the available battery storage. The performance of the system is studied by means of simulations. The thesis presents HPS model development, control design and simulation results under different operating scenarios. The simulation results of the proposed hierarchical control shows a good performance of the system.