Experimental Evaluation of Water Cycle Technique for Control Parameters Optimization of Double-Fed Induction Generator-Based Wind Turbine

Abstract

In this paper, a nature-inspired optimization algorithm is employed for parametric tuning of proportional-integral controllers in the vector control of a grid-linked doubly-fed induction generator energy system. The optimization approach is based on the nature-inspired computing technique from the water cycle. The vector control system includes loops for dc-link voltage control at the grid side converter and the rotor current at the rotor side converter. The water cycle optimization is implemented to tune six control parameters by minimizing a cost function carried out using the tracking errors. The cost function value, required in the optimization process, is carried out from a simulated grid-linked doubly fed induction generator energy system. The optimized control parameters are tested on an experimental setup. Experimental results, obtained for a grid-linked doubly-fed induction generator energy system in terms of different optimization methods and conditions, are provided to demonstrate the effectiveness of water cycle optimization technique. As a result of the comparative analysis, it is observed that water cycle technique offers better results in minimizing the overshoot and the response time. (C) 2021 Karabuk University. Publishing services by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).