MPPT of Magnus Wind System with DC Servo Drive for the Cylinders and Boost Converter

Author:

Jinbo Maro12,Farret Felix Alberto1,Cardoso Junior Ghendy1,Senter Daniel2,Franklin Lorensetti Marcelo2

Affiliation:

1. Department of Electrical Engineering, Federal University of Santa Maria (UFSM), 97105-900 Santa Maria, RS, Brazil

2. Department of Automation and Control Engineering, Federal Institute of Santa Catarina (IFSC), 89813-000 Chapecó, SC, Brazil

Abstract

This paper presents an algorithm MPPT (Maximum Power Point Tracking) for a Magnus wind system with a DC servo drive system (DC drive and BLDC motor) to rotate the turbine cylinders. The optimal cylinders rotation is the one to deliver the maximum power extracted from the wind tracked by fixed and adaptive step HCC (Hill Climbing Control) acting on the servo drive. The proposed wind system consists of a PMSG (Permanent Magnet Synchronous Generator), a three-phase diode rectifier, a DC/DC (boost) converter, and a resistive load. Furthermore, the boost converter acts with the fixed step HCC algorithm to track the maximum power operating point. Therefore, the MPPT for a Magnus wind system requires both tracking for the optimal cylinder speed and the optimal generator speed.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Hindawi Limited

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Small Magnus Wind Turbine Control System Based on MPPT Approaches;2023 22nd International Symposium on Power Electronics (Ee);2023-10-25

2. Optimization of Cylindrical Blades for Wind Turbine Based on Magnus Effect;2023 International Conference on Electromechanical and Energy Systems (SIELMEN);2023-10-11

3. Analysis of a radial permanent magnetic bearing for 1 MW horizontal axis wind turbine;THE 6TH INTERNATIONAL CONFERENCE ON SCIENCE AND TECHNOLOGY (ICST21): Challenges and Opportunities for Innovation Research on Science Materials, and Technology in the Covid-19 Era;2023

4. Small Magnus Wind Turbine: Modeling Approaches;Applied Sciences;2022-02-11

5. MPPT Algorithms for Wind Turbines: Review and Comparison;2022 29th International Workshop on Electric Drives: Advances in Power Electronics for Electric Drives (IWED);2022-01-26

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