Adaptive fuzzy logic control for microgrid-connected hybrid photovoltaic/wind generation systems

In this study, the modeling, control, and energy accuracy optimization of a microgrid-connected hybrid system are addressed. The hybrid renewable power system was suggested as a multi-converter system with a permanent magnet synchronous generator-based wind turbine (WT), a photovoltaic (PV) array, and a lithium battery power system. All these sources are associated by a continuous bus to a nonlinear load through a DC/AC converter and three-phase multi-functional voltage source inverter (MFVSI), where the PV and WTs are considered as main energy resources. The grid consumes the surplus power available from sources when the battery has been charged completely. MFVSI is utilized to facilitate the competence of the designed system, ensuring both reactive power and harmonic compensation. Moreover, intelligent control by adaptive fuzzy logic (FL) techniques are conducted to extract the maximum energy from the WT and PV system, to guarantee effective storage management, and also to affect high performance in harmonic compensation control, about the DC side. For the AC side, a direct power command approach has been used. A comparative study involved two types of approaches, classical control based on a proportional-integral controller and an adaptive FL approach. The simulation of the proposed solution is carried out in MATLAB. The results show that the technique of the adaptive FL approach provides the best solution in terms of robustness, good tracking and optimization competence, fast dynamic response, and low harmonic distortion of current.