Implementation and simulation of PMSG driven by wind turbine and controlled by MPPT

Abstract

Wind power is one of the fastest growing renewable energy technologies. It is very essential to extract the maximum available power from the wind by operating the wind turbine at its optimal operation condition, called maximum power point tracking (MPPT). Perturb and observe (P&O) is the simplest and mostly used algorithm for this purpose. However, this algorithm has its own disadvantages such as oscillation at maximum power point and wrong directionality under fast variation wind speed. In this project, a conventional P&O algorithm, a new algorithm based on Golden Section search principle and a Fuzzy logic MPPT algorithm for variable speed wind turbine using permanent magnet synchronous generator (PMSG) are tested and compared in the terms of complexity, speed responses and the ability to acquire the maximal energy output.