Performance Analysis of Doubly Fed Induction Generator in Wind Energy Conversion System by Controlling Active and Reactive Power

Abstract

Wind energy has emerged as one of the sustainable power sources having extraction of maximum power as its major challenge. Thus the main purpose of this paper is to get the best control mechanisms for maximum power extraction in Doubly Fed Induction Generator (DFIG) based wind turbine. The proposed techniques used allow the generator to track the optimal operation points under a variable condition upon the model of DFIG, Wind Turbine, Machine and Grid Side Convertors, and controllers. This is carried on the MATLAB-Simulink platform with the main control algorithms of a Proportional-Integral (PI) Controller, Fuzzy Logic Controller (FLC), Sliding Mode Controller (SMC), and Super Twisted Sliding Mode Controller (STSMC). The most extensively used conventional PI controller in the real wind sector having a high overshoot with a prolonged settling time requires modification for every change in reference pattern. Hence, to ensure robustness against external disturbances, FLC and SMC are applied. However, it is found that the conventional SMC has a chattering problem. To improve it, the STSMC technique is implemented showing an improved performance of settling time, overshoot, and rise time for active power control. It is seen that PI has a settling time of 1.0351 sec while an overshoot is 3.9 %. Whereas, FLC has a settling time of 0.8021 sec with an overshoot of 2.8 %. Finally, STSMC has a settling time of 0.3314 sec and an overshoot of 2.2 %. This leads to the conclusion that the STSMC controller has better dynamic performance than others do.

A novel optimally tuned super twisting sliding mode controller for active and reactive power control in grid‐interfaced photovoltaic system

“…The characteristics of uncertainties/disturbances of the first-order sliding mode control are insured by this controller. Equation (38) stands for systems of relative degree 2.…”