Robust Cascade MRAC for a Hybrid Grid-Connected Renewable Energy System

Hybrid grid-connected renewable energy systems have gained significant importance in sustainably responding to an increased electrical demand. These are time-varying nonlinear dynamical plants, where the value of their parameters depends on changing weather conditions and alternating grid voltage with randomly fluctuating amplitude. This paper proposes a robust cascade MRAC for plants representing class these systems, which includes n converts DC/AC single-phase full bridge inverter. The proposal reduces commissioning time by avoiding linearization knowledge plant parameters. Moreover, it specific formulas tuning controller that decrease adjustments based trial error. Finally, uses direct adaptive method laws having σθ modification inner loop at least five times faster than outer loop. proposition validation theoretical stability proof Lyapunov Barbalat’s Lemma. Furthermore, presents comparative simulation results quoted PI controllers monophasic system, including two sources injection. Both techniques effectively track setpoint changes sources’ currents current bus voltage, showing similar or reduced ripple. At same time, both ensure robustness against decreased photovoltage panels irradiance, fuel cells amplitude random fluctuations. However, does things while prior unknowing