In this paper the authors have developed a hybrid renewable energy system. The studied structure comprises a wind energy generator, a shaded photovoltaic generator associated to an inertial storage system. The modeling of the global structure is developed and the control strategy is discussed. Conventional methods have been used to control the renewable sources. However, they may not have a suitable performance if the controlled system contains nonlinearity, as the wind turbine system or the shaded photovoltaic generator. In the presence of modeling uncertainties, the necessity of methods presenting controllers with appropriate performance as the advanced control strategies is inevitable. Fuzzy logic is used to control both the wind generator’s pitch angle and the maximum power point tracking (MPPT) of a shaded photovoltaic generator. The control of the storage flywheel, associated with the studied structure, to regulate the power supplied by renewable sources is also discussed. The design of the proposed strategy and its comparison with conventional controllers are carried out. The proposed method effectiveness is verified by MATLAB simulation results.
Design Optimization and Model Predictive Control of a Standalone Hybrid Renewable Energy System: A Case Study on a Small Residential Load in Pakistan