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Analysis and Control of Fault Ride-Through Capability Improvement for Wind Turbine Based on a Permanent Magnet Synchronous Generator Using an Interval Type-2 Fuzzy Logic System

Author

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  • Altan Gencer

    (Department of Electrical and Electronics Engineering, Nevsehir H.B:V. University, Nevsehir 50300, Turkey)

Abstract

Recently, wind energy conversion systems in renewable energy sources have attracted attention due to their effective application. Wind turbine systems have a complex structure; however, traditional control systems are inadequate in answering the demands of complex systems. Therefore, expert control systems are applied to wind turbines, such as type-1 and interval type-2 fuzzy logic control (IT-2 FLC) systems. An IT-2 FLC system is used to solve the complexity of the wind turbine system and increases the efficiency of the wind turbine. This paper proposes a new control approach using the IT-2 FLC method applied to a wind turbine based on a permanent magnet synchronous generator (PMSG) to improve the transient stability during grid faults. An IT-2 FLC was designed to enhance the fault ride-through performance of a wind turbine and was implemented to control the machine side converter and grid side converter of a wind turbine. The proposed algorithm performance of a wind turbine based on a PMSG was investigated for different types of grid fault. The analysis results verify that the interval type-2 fuzzy logic control system is robustly utilized under different operational conditions.

Suggested Citation

  • Altan Gencer, 2019. "Analysis and Control of Fault Ride-Through Capability Improvement for Wind Turbine Based on a Permanent Magnet Synchronous Generator Using an Interval Type-2 Fuzzy Logic System," Energies, MDPI, vol. 12(12), pages 1-16, June.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:12:p:2289-:d:240105
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    Citations

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    Cited by:

    1. Hooman Ghaffarzadeh & Ali Mehrizi-Sani, 2020. "Review of Control Techniques for Wind Energy Systems," Energies, MDPI, vol. 13(24), pages 1-19, December.
    2. Mojtaba Nasiri & Saleh Mobayen & Behdad Faridpak & Afef Fekih & Arthur Chang, 2020. "Small-Signal Modeling of PMSG-Based Wind Turbine for Low Voltage Ride-Through and Artificial Intelligent Studies," Energies, MDPI, vol. 13(24), pages 1-18, December.
    3. Aphrodis Nduwamungu & Etienne Ntagwirumugara & Francis Mulolani & Waqar Bashir, 2020. "Fault Ride through Capability Analysis (FRT) in Wind Power Plants with Doubly Fed Induction Generators for Smart Grid Technologies," Energies, MDPI, vol. 13(16), pages 1-26, August.

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