Performance Validation of Control Algorithm Considering Independent Generator Torque Control in PCS

This study designed and validated a power control algorithm tailored to the unique characteristics of a 100 kW wind turbine equipped with an independent generator torque control system within the Power Conversion System (PCS). Unlike conventional power control methods based on the Programmable Logic Controller (PLC), the independent generator torque control in the PCS estimates the generator speed based on the voltage signal and performs the generator torque control without any interference from the PLC. The conventional power control algorithm in the PLC was modified so that the PLC could perform the power control by the blade pitch control only. Furthermore, a mode transition algorithm was designed to improve the shortcomings of the mode switch previously used for transitioning between the torque and pitch control modes. To verify the performance, a simulation environment similar to actual control conditions was established using a commercial analysis program, and dynamic simulations were conducted. Additionally, for the experimental validation, the proposed control algorithm was applied to a scaled wind turbine, and wind tunnel tests were performed. The results of the simulations and wind tunnel tests confirmed the operational performance of the PCS’s torque control and the improved control transition logic. The proposed control algorithm could be specifically applied to medium-sized wind turbines employing a sensorless generator speed estimation method and independent generator torque control in the PCS.

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Publication Details

Journal
Applied Sciences
Published
2024-12-12
DOI
https://doi.org/10.3390/app142411598
Primary Topic
Engineering Applied Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Performance Validation of Control Algorithm Considering Independent Generator Torque Control in PCS

M. Prats vd Ham, Dongmyoung Kim, Wirachai Roynarin, Insu Paek et al.
Applied Sciences
Engineering Applied Research
article

Performance Validation of Control Algorithm Considering Independent Generator Torque Control in PCS

M. Prats vd Ham, Dongmyoung Kim, Wirachai Roynarin, Insu Paek, Amphol Aphathanakorn
article en

Abstract

This study designed and validated a power control algorithm tailored to the unique characteristics of a 100 kW wind turbine equipped with an independent generator torque control system within the Power Conversion System (PCS). Unlike conventional power control methods based on the Programmable Logic Controller (PLC), the independent generator torque control in the PCS estimates the generator speed based on the voltage signal and performs the generator torque control without any interference from the PLC. The conventional power control algorithm in the PLC was modified so that the PLC could perform the power control by the blade pitch control only. Furthermore, a mode transition algorithm was designed to improve the shortcomings of the mode switch previously used for transitioning between the torque and pitch control modes. To verify the performance, a simulation environment similar to actual control conditions was established using a commercial analysis program, and dynamic simulations were conducted. Additionally, for the experimental validation, the proposed control algorithm was applied to a scaled wind turbine, and wind tunnel tests were performed. The results of the simulations and wind tunnel tests confirmed the operational performance of the PCS’s torque control and the improved control transition logic. The proposed control algorithm could be specifically applied to medium-sized wind turbines employing a sensorless generator speed estimation method and independent generator torque control in the PCS.

Applied SciencesVol. 14(24)
Rajamangala University of Technology (TH), National Science and Technology Development Agency (TH), Kangwon National University (KR)
Ministry of Trade, Industry and Energy, Korea Institute of Energy Technology Evaluation and Planning
Affordable and clean energy
Openalex Percentile: Top 74%
Engineering Applied Research
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