Performance improvement for small-scale wind turbine system based on maximum power point tracking control

Syahputra, Ramadoni and Soesanti, Indah (2019) Performance improvement for small-scale wind turbine system based on maximum power point tracking control. Energies, 12 (20).

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Abstract

This paper proposes a strategy for performance improvement of small-scale wind turbine systems using maximum power point tracking control (MPPT). In this study, wind-turbine systems which use permanent magnet synchronous generators and converter devices are modeled in Simulink-Matlab software. In order to increase the power generated, MPPT is used based on the extended perturb and observe (PO) method. This algorithm has the ability to improve the speed of the turbine without oscillation. To analyze the ability of the PO-based MPPT in maximizing output power, performance examination of wind turbine systems in Simulink-Matlab software was conducted. The study is carried out with a 3000 W wind turbine device serving various electrical loads of 50 Ω, 100 Ω, 200 Ω, and 300 Ω, and each ohm varies with a wind speed of 4, 5, 6.5, 7, 8.5, 9, and 10 m/s. The overall turbine system performance found that the maximum increase in system output power occurs when it is loaded with 200 Ω with a wind speed of 6.5 m/s. During this combination of 200 Ω and 6.5 m/s, there are high increments of output power at 135.62 caused by the installation of MPPT controllers, with an average output power increase of 50.77. The results of this study proved that PO-based MPPT has successfully improved the performance of wind-turbine systems.

Item Type: Article
Additional Information: Library Dosen
Uncontrolled Keywords: Extended perturb and observe method; MPPT; Renewable energy; Small-scale wind turbine system
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Electrical and Information Technology Department
Depositing User: Sri JUNANDI
Date Deposited: 08 Apr 2026 03:14
Last Modified: 08 Apr 2026 03:14
URI: https://ir.lib.ugm.ac.id/id/eprint/25430

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