Performance Enhancement of PMSG Wind Farm with Adaptive Fuzzy-Based PID Regulator in Non-Linear Backstepping Controller
International Journal of Electrical and Electronics Engineering |
© 2024 by SSRG - IJEEE Journal |
Volume 11 Issue 11 |
Year of Publication : 2024 |
Authors : Banothu.Balasubramanyam, Balasubbareddy Mallala, G. Mallesham |
How to Cite?
Banothu.Balasubramanyam, Balasubbareddy Mallala, G. Mallesham, "Performance Enhancement of PMSG Wind Farm with Adaptive Fuzzy-Based PID Regulator in Non-Linear Backstepping Controller," SSRG International Journal of Electrical and Electronics Engineering, vol. 11, no. 11, pp. 139-149, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I11P115
Abstract:
PMSG wind farms are considered the most reliable renewable energy sources as they can generate high-rating power for a small area installation. Due to the machine's structure with a permanent magnet rotor, it becomes a standalone source with no dependency on the grid. Due to this, the transients and damping during initial operating conditions are also high, generating peak voltages and currents at the initial stage. This paper integrates an adaptive fuzzy-based PID regulator into the non-linear backstepping control of the grid side converter for voltage stability. The controller is initially modelled with conventional PI and fuzzy regulators, and the performance is observed. A comparative analysis between different regulators is carried out and updated in the grid-side converter control. There will be a significant improvement in the DC voltage regulation at the DC link of the back-to-back connected converters. With the adaptive fuzzy PID regulator, the peak overshoot of the DC voltage will be gradually dropped, the desired voltage will have a faster settling time, and the ripple content will be reduced. As per these improvements, the performance of the PMSG wind farm with back-to-back connected converters has been enhanced. All the comparative analysis and modeling of the regulators are done using MATLAB Simulink software using ‘Powersystems’ blocks of the Simulink library. The analysis shows that the AF-PID controller has a faster response to the changes in the system. The initial and transient recovery peak overshoots, ripple and harmonics in the voltages are reduced to a greater extent with the proposed controller.
Keywords:
Permanent Magnet Synchronous Generator (PMSG), Adaptive fuzzy Proportional Integral Derivative (PID), MATLAB simulink.
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