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Fractional-Order PI Control of DFIG-Based Tidal Stream Turbine

Hao Chen, Wei Xie, Xiyang Chen, Jingang Han, Nadia Aϊt-Ahmed, Zhibin Zhou, Tianhao Tang, Mohamed Benbouzid

2020Journal of Marine Science and Engineering31 citationsDOIOpen Access PDF

Abstract

This study mainly investigates the current and speed control strategies of a doubly-fed induction generator (DFIG), which is applied to a tidal stream turbine (TST). Indeed, DFIG using integer-order PI (IOPI) controller has been widely proposed in the applications with a similar system, especially in wind energy conversion system (WECS). However, these conventional controllers cannot deal with the problems caused by the parameter variations satisfactorily under complex and harsh operation conditions, and may even deteriorate the performance. As a result, a fractional-order PI (FOPI) controller is considered to improve the efficiency and performance of DFIG-based TST in this paper. The FOPI controller, developed from the traditional IOPI controller and the fractional calculus theory, has a lot of prominent merits in many aspects, such as robustness, stability, and dynamic performance. In this paper, the proposed control strategies are embedded into the whole TST model which contains the tidal stream turbine, and the generator. The obtained simulation results demonstrate the prominent effectiveness and advantages of the proposed strategies compared with the conventional IOPI controller in terms of overshoot, static error, adjustment time, and robustness. It implies that FOPI controller could be a good candidate in TST applications.

Topics & Concepts

Control theory (sociology)Robustness (evolution)Doubly fed electric machineOvershoot (microwave communication)TurbinePID controllerComputer scienceController (irrigation)Control engineeringEngineeringTemperature controlControl (management)VoltageAC powerGeneBiologyBiochemistryChemistryMechanical engineeringAgronomyElectrical engineeringArtificial intelligenceTelecommunicationsWind Turbine Control SystemsFrequency Control in Power SystemsMicrogrid Control and Optimization
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