Original scientific paper
https://doi.org/10.1080/00051144.2023.2218168
A novel MPPT design for a wind energy conversion system using grey wolf optimization
G. Rashmi
; Department of EEE, Ponjesly College of Engineering, Nagercoil, India
M. Mary Linda
; Department of EEE, Arunachala College of Engineering for Women, Nagercoil, India
Abstract
A significant problem is enhancing the reliability of the wind energy conversion system (WECS), when that runs in unpredictable weather. Therefore, it is essential to construct a maximum power point tracker (MPPT), a controller for measuring the optimum power that the WECS is expected to generate. Hill climbing-based techniques were used to simulate the tracker, but they had drawbacks in terms of tracking efficiency and speed. The Grey Wolf optimization algorithm (GWO) for modelling MPPT integrated with the WECS is proposed in this work as a novel, effective method. The system is made up of a wind turbine (WT) conjoined to a permanent magnet synchronous generator (PMSG), a 3-phase rectifier that converts the generator’s AC output power to direct current (DC), and a boost converter whose input DC voltage is controlled by the MOSFET duty cycle. The goal of the modelling procedure is the system’s electrical output power, which is presented as an optimization problem. The results confirmed the GWO-reliability MPPT’s in reaching the desired WECS performance.
Keywords
Grey wolf optimization (GWO); wind energy conversion system (WECS); permanent magnet synchronous generator (PMSG); maximum power point tracker (MPPT)
Hrčak ID:
315937
URI
Publication date:
9.6.2023.
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