Title: Interval type-2 fuzzy logic based MPPT algorithm for direct drive PMSG wind turbine system
Authors: H.M. Yassin; H.H. Hanafy; Mohab M. Hallouda
Addresses: Electrical Power and Machines Department, Faculty of Engineering, Cairo University, Giza 12613, Egypt ' Electrical Power and Machines Department, Faculty of Engineering, Cairo University, Giza 12613, Egypt ' Electrical Power and Machines Department, Faculty of Engineering, Cairo University, Giza 12613, Egypt
Abstract: This paper proposes a maximum power point tracking (MPPT) scheme for direct drive permanent magnet synchronous generator (PMSG) wind turbine system. In this scheme, the machine side converter (MSC) is controlled using the interval type-2 fuzzy logic control (IT2-FLC). The IT2-FLC is proposed owing to its ability to handle the uncertainties of the system parameters. The additional degree of freedom of type-2 fuzzy sets is due to the third dimension in the membership function which handles power oscillations damping and voltage recovery following parameter uncertainties in the network. The field oriented control is used to control the machine side and grid side converter. The design of the proposed control scheme of the MSC is presented in this paper. Simulation results, based on MATLAB-Simulink, for a 1.5 MW PMSG wind turbine are carried out to validate the proposed control scheme considering the various uncertainties. Also, experimental results with hardware in loop (HIL) configuration are obtained for reduced scale PMSG wind turbine to demonstrate the feasibility of the controller for real time applications. The results show a significant enhancement in speed regulation, mechanical stress reduction and power harvest with the proposed control scheme.
Keywords: interval type-2 fuzzy logic control; IT2-FLC; permanent magnet synchronous generators; PMSG; maximum power point tracking; MPPT.
DOI: 10.1504/IJRET.2018.093005
International Journal of Renewable Energy Technology, 2018 Vol.9 No.3, pp.291 - 309
Received: 13 Jul 2017
Accepted: 01 Sep 2017
Published online: 04 Jul 2018 *