Optimal Speed - Hill Climb Search Control Maximum Power Point Tracking of Doubly Fed Induction Generator Based Wind Energy Conversion System

Authors

  • Yasoda Kailasa Gounder, S.Sowkarthika, Bernard Jose

Abstract

Variable step-hill climb search(VS-HCS) maximum power point tracking(MPPT) algorithm is generic and easy to implement. However, its tracking speed is slower compared to other MPPT techniques. If convergence of VS-HCS is enhanced by large perturbation step size, large fluctuations in speed will occur before settling at maximum power point (MPP). Optimal torque control (OTC) method has good dynamic response, however it causes transient torque load on the drive train. When the wind velocity changes, the change in speed required moving the operating point of wind turbine (WT) to the optimal point decides the tracking time. The correct size of perturbation step size of speed must be computed to enhance the tracking speed without compromising safety of the mechanical system. The knowledge of operating point of WT can be useful to quantify the exact iterative step to reach MPP quickly. In this work, a hybrid algorithm has been formulated by combining OTC and VS-HCS to improve the tracking speed and increase the power captured by the WT. Moreover, sensor less detection of change in wind velocity is carried out. The proposed optimal speed – hill climb search (OS-HCS) is validated using a test set up for doubly fed induction generator based WT. Experimental results prove that the power production of WT with OS-HCS is 5.8% larger than that of VS-HCS technique.

Keywords-Hill climb search control, optimal speed, turbulent wind, maximum power point tracking, doubly fed induction generator

Published

2020-12-21

Issue

Section

Articles