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LAPSE:2019.0285
Published Article
LAPSE:2019.0285
An Improved Adaptive-Torque-Gain MPPT Control for Direct-Driven PMSG Wind Turbines Considering Wind Farm Turbulences
Xiaolian Zhang, Can Huang, Sipeng Hao, Fan Chen, Jingjing Zhai
February 5, 2019
Maximum power point tracking (MPPT) plays an important role in increasing the efficiency of a wind energy conversion system (WECS). In this paper, three conventional MPPT methods are reviewed: power signal feedback (PSF) control, decreased torque gain (DTG) control, and adaptive torque gain (ATG) control, and their potential challenges are investigated. It is found out that the conventional MPPT method ignores the effect of wind turbine inertia and wind speed fluctuations, which lowers WECS efficiency. Accordingly, an improved adaptive torque gain (IATG) method is proposed, which customizes adaptive torque gains and enhances MPPT performances. Specifically, the IATG control considers wind farm turbulences and works out the relationship between the optimal torque gains and the wind speed characteristics, which has not been reported in the literature. The IATG control is promising, especially under the ongoing trend of building wind farms with large-scale wind turbines and at low and medium wind speed sites.
Keywords
adaptive torque gain control, maximum power point tracking (MPPT), turbulence intensity, wind energy conversion system (WECS), wind turbine
Suggested Citation
Zhang X, Huang C, Hao S, Chen F, Zhai J. An Improved Adaptive-Torque-Gain MPPT Control for Direct-Driven PMSG Wind Turbines Considering Wind Farm Turbulences. (2019). LAPSE:2019.0285
Author Affiliations
Zhang X: School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China
Huang C: Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN 37996, USA
Hao S: School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China
Chen F: School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China
Zhai J: School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China
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Journal Name
Energies
Volume
9
Issue
11
Article Number
E977
Year
2016
Publication Date
2016-11-22
Published Version
ISSN
1996-1073
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PII: en9110977, Publication Type: Journal Article
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LAPSE:2019.0285
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doi:10.3390/en9110977
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Feb 5, 2019
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Calvin Tsay
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