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A Comprehensive Study of Harmonic Pollution in Large Penetrated Grid-Connected Wind Farm
Novel grid code allows heavy penetration of wind electric power into the grid which leads to new challenges of power quality like harmonic pollution in variable speed wind turbines with asynchronous generator. The article provides an analysis of the existing methods for identifying wind farm contrib...
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Published in: | MĀPAN : journal of Metrology Society of India 2021-12, Vol.36 (4), p.729-749 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Novel grid code allows heavy penetration of wind electric power into the grid which leads to new challenges of power quality like harmonic pollution in variable speed wind turbines with asynchronous generator. The article provides an analysis of the existing methods for identifying wind farm contribution to harmonic distortion at a point of common coupling. The considered methods do not allow correct and fair determining of the source of harmonic distortions, or they have limited application and difficulties in implementation. The paper proposes new methods for determining the source of high harmonics. A wind farm model is prepared using MATLAB software, and harmonic analysis is described for different wind velocities. Causes of harmonics generation in wind farm and harmonics pollution mitigation by DSTATCOM modeling with unbalanced grid disturbance of grid side wind mill inverter have been mentioned. The custom power device (CPD) is developed based on nature of harmonics and interface with grid-connected wind farm to enhance the power quality of wind farm. Results obtained from MATLAB-based harmonic analyses are compared with practical case study results that have been presented as per IEEE standard 519-1992, IEC 61000-2-2 and EN 50160 standard harmonic limits. Identified indirect current control scheme of custom power device can be supported to uncertainty analysis. |
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ISSN: | 0970-3950 0974-9853 |
DOI: | 10.1007/s12647-020-00407-z |