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A Fractional Order Fuzzy-proportional-integral-derivative Based Pitch Angle Controller For A Direct-drive Wind Energy System

Publication Type : Journal Article

Publisher : Elsevier BV

Source : Computers & Electrical Engineering

Url : https://doi.org/10.1016/j.compeleceng.2019.07.021

Keywords : Energy conversion, Fractional order fuzzy-PID, Non-linear system, Pitch angle control, Teaching-learning based optimization, Wind energy

Campus : Haridwar

School : School of Computing

Year : 2019

Abstract : A wind energy conversion system (WECS) is a highly nonlinear and coupled system in which the output power depends upon highly uncertain wind speed. Therefore, the quality of produced power becomes a challenging problem for engineers. Pitch angle control is a powerful and widely used power control method to handle wind above the rated wind speed. In this paper, a fractional order fuzzy-proportional-integral-derivative controller is proposed for pitch angle control to preserve the output power of a 2 MW direct-drive WECS at the rated value in dynamic wind conditions. To evaluate the performance of the proposed controller, the rise time, fall time, settling time, overshoot and total harmonic distortion by the proposed controller are compared with conventional and other intelligent controllers. Furthermore, the proposed controller is well-tuned using a teaching-learning based optimization (TLBO) algorithm. The performance of the TLBO is also compared with the genetic algorithm to show effectiveness.

Cite this Research Publication : Diwaker Pathak, Prerna Gaur, A fractional order fuzzy-proportional-integral-derivative based pitch angle controller for a direct-drive wind energy system, Computers & Electrical Engineering, Elsevier BV, 2019, https://doi.org/10.1016/j.compeleceng.2019.07.021

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