An artificial bee colony optimizer-based FOC for PMSG-based wind energy conversion systems

The world is experiencing a transformation in the energy sector driven by the urgent need to address the escalating climate crisis, which is intensified due to the traditional power generation systems. In this context, wind energy conversion systems (WECS) emerge as a prominent solution for large-sc...

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Bibliographic Details
Published in:	2024 16th Seminar on Power Electronics and Control (SEPOC) pp. 1 - 6
Main Authors:	de Oliveira Evald, Paulo Jefferson Dias, Da Fonseca, Jose E. Das Neves, Dall'Asta, Matheus Schramm, de Andrade, Jessika Melo, Schmitz, Lenon, Lazzarin, Telles Brunelli
Format:	Conference Proceeding
Language:	English
Published:	IEEE 20-10-2024
Subjects:	field oriented control generators metaheuristic optimization algorithms Minimization PI controllers Power generation renewable energy Seminars Synchronous generators Systematics Tuning Voltage control Wind energy conversion Wind speed Wind turbines
Online Access:	Get full text
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Summary:	The world is experiencing a transformation in the energy sector driven by the urgent need to address the escalating climate crisis, which is intensified due to the traditional power generation systems. In this context, wind energy conversion systems (WECS) emerge as a prominent solution for large-scale sustainable power generation. Particularly, direct drive permanent magnet synchronous generators (PMSG) have garnered significant attention due to their structural advantages, which eliminates the drivetrain, leading to reduced maintenance costs. Field oriented control (FOC) is largely employed in the PMSG-based wind energy conversion systems. However, the tuning of the controllers to achieve the maximum power generation can be a laborious process. Addressing this challenge, this work presents a meta-heuristic-based controller parametrization grounded on the artificial bee colony optimization algorithm. The systematic method considers current tracking minimization and voltage constraints for synthetization of the control actions. The outcomes of 60 simulations corroborate the feasibility and efficiency of the proposed parametrization procedure. Furthermore, the WECS with the optimized FOC can extract almost 10 MW when the nominal wind speed reaches around 11 \mathrm{~m} / \mathrm{s}.
DOI:	10.1109/SEPOC63090.2024.10747471