Robust maximum power point tracking control of permanent magnet synchronous generator for grid connected wind turbines

Author(s):  
Amir Khazaee ◽  
Hosein Abutorabi Zarchih ◽  
Mohammad Ebrahimi
2017 ◽  
Vol 20 (K3) ◽  
pp. 100-105
Author(s):  
Minh Quang Huynh ◽  
Liem Van Nguyen

Wind power is more and more developed as a renewable energy source. It is very essential to extract the maximum available power from the wind by operating the wind turbine at its optimal operating condition, called maximum power point tracking (MPPT). Perturb & 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. Lots of publications are presented to solve these problems. In this paper, a conventional P&O algorithm, a modified MPPT algorithm and a fuzzy 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.


2020 ◽  
pp. 0309524X2090162
Author(s):  
Elsonbaty A Nadia ◽  
Enany A Mohamed ◽  
Elymany Mahmoud

It is very important to select proper maximum power point tracking algorithm in order to achieve best performance and low cost for wind turbine–generator combination. A permanent magnet synchronous generator steady-state unity power factor analytical model based on a current source—equivalent circuit is provided. Validation of the identified load angle effect in current source as compared with that of the commonly used voltage source permanent magnet synchronous generator is presented. Then three new maximum power point tracking–load angle control algorithms based on current source model are presented. They all apply magnitude and frequency control techniques for Digital Signal Processor control systems. The first one presents maximum power point tracking–unity power factor applying constrained load angle control algorithm. The merits of the next two developed schemes are quickly and precisely tracking the maximum power output of the wind turbine; thus, the second and third algorithms are then characterized with linear control systems. The linearity of the second scenario is between load angle and reference speed while the third one has a load angle–torque linear relationship which shows its optimality. Finally, the controlled characteristics and implementation for the optimum case are presented for both stationary and synchronous reference frames (for vector control purposes). Simulation modeling for optimum case is provided and its results match well with the proposed predictive control algorithm.


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