Direct optimal power extraction control for a tidal turbine system based on fuzzy power tuning

Abstract This paper focuses on the direct optimal power generation control for a horizontal-axis tidal turbine system by using fuzzy power tuning. The dynamics of this tidal turbine system is first described and modelled based on the modelling of individual components. The generator power is also be described from the power converter and DC-bus side. A fuzzy logic tuning method is then proposed to derive the optimal generator power by using the power converter current and its variations as input variables. The derived optimal generator power is used as the reference for direct power control by using cascaded control loops. The effectiveness of the proposed control has been verified based on a 50 kW tidal turbine system with gear ratio of 2 in MATLAB/Simulink simulations. The test results validate the proposed fuzzy tuning method is reasonable and the active generator power can be readily maximized while the reactive power is minimized by using the proposed direct optimal power control method.

[1]  J. G. Khor,et al.  Neural and Fuzzy Logic Control of Drives and Power Systems , 2002 .

[2]  Wei Li,et al.  A novel fuzzy integral sliding mode current control strategy for maximizing wind power extraction and eliminating voltage harmonics , 2015 .

[3]  Antonio J. Conejo,et al.  Electric Energy Systems : Analysis and Operation , 2008 .

[4]  Itsuro Kajiwara,et al.  Experimental verification of a real-time tuning method of a model-based controller by perturbations to its poles , 2018, Mechanical Systems and Signal Processing.

[5]  M.E.H. Benbouzid,et al.  High-order sliding mode control of DFIG-based marine current turbine , 2008, 2008 34th Annual Conference of IEEE Industrial Electronics.

[6]  Tianhao Tang,et al.  Power Smoothing Control in a Grid-Connected Marine Current Turbine System for Compensating Swell Effect , 2013, IEEE Transactions on Sustainable Energy.

[7]  Nasrudin Abd Rahim,et al.  Fuzzy-Logic-Controller-Based SEPIC Converter for Maximum Power Point Tracking , 2014 .

[8]  Mohamed El Hachemi Benbouzid,et al.  High-Order Sliding Mode Control of a Marine Current Turbine Driven Doubly-Fed Induction Generator , 2010, IEEE Journal of Oceanic Engineering.

[9]  Rag Gyo Jeong,et al.  New control method of maximum power point tracking for tidal energy generation system , 2007, 2007 International Conference on Electrical Machines and Systems (ICEMS).

[10]  Mohamed Benbouzid,et al.  Modelling and control of a marine current turbine-driven doubly fed induction generator , 2010 .

[11]  Jerry M. Mendel,et al.  Introduction to Type-2 Fuzzy Logic Control: Theory and Applications , 2014 .

[12]  Fergal O. Rourke,et al.  School of Mechanical and Design Engineering 2010-0401 Marine Current Energy Devices : Current Status and Possible Future Applications in Ireland , 2017 .

[13]  Houria Siguerdidjane,et al.  Comparison between linear and nonlinear control strategies for variable speed wind turbines , 2010 .

[14]  Wu Feng.  Development Status and Perspective of Marine Energy Conversion Systems , 2010 .

[15]  Li Wang,et al.  Dynamic Stability Analysis of a Tidal Power Generation System Connected to an Onshore Distribution System , 2011, IEEE Transactions on Energy Conversion.

[16]  Yongduan Song,et al.  Adaptive Fault-Tolerant PI Tracking Control With Guaranteed Transient and Steady-State Performance , 2017, IEEE Transactions on Automatic Control.

[17]  Sergey Edward Lyshevski,et al.  Electromechanical Systems, Electric Machines, and Applied Mechatronics , 2018 .

[18]  Mohamed El Hachemi Benbouzid,et al.  Experimental Validation of a Marine Current Turbine Simulator: Application to a Permanent Magnet Synchronous Generator-Based System Second-Order Sliding Mode Control , 2011, IEEE Transactions on Industrial Electronics.