MPPT for a Wind Energy Conversion System Using Fuzzy Logic

Wind power, another attractive and well-developed renewable energy source, has recently emerged. A power electronic interface is required to connect a wind energy conversion system (WECS) to the load or utility grid. Controlling this interface, which consists of a generator and grid-side converters, is a major and difficult challenge. The main reason for using the generator side inverter controller is the maximum power point tracking (MPPT) (MPPT). In this study, the fuzzy logic theory is used to improve the accuracy and speed of the traditional MPPT algorithm Hill Climbing Search (HCS). Thanks to this newly developed algorithm, the system can now provide an accurate reference for rotor speed so that it can continuously harvest the maximum energy from the wind. Due to its numerous advantages, the Wiener rectifier is used as a generator-side converter in WECS. In this work, sliding mode control (SMC), a nonlinear control technique, is used to achieve efficient speed control, which has significant advantages over linear controllers. Simulations show that the control method and the modified MPPT algorithm work well. In terms of speed control performance, SMC and PI controllers are also compared.