Study on grid adaptability testing methodology for wind turbines

The use of wind power has grown rapidly in recent years. Wind power is a clean source of energy, but can have negative impacts on the distribution grid. The influence of large-scale wind power integration on the safe and stable operation of a power system cannot be ignored. It is necessary and urgen...

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Main Authors: Shaolin Li, Shiyao Qin, Ruiming Wang, Qing Li, Chen Chen
Format: Article
Language:English
Published: IEEE 2013-01-01
Series:Journal of Modern Power Systems and Clean Energy
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8939545/
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author Shaolin Li
Shiyao Qin
Ruiming Wang
Qing Li
Chen Chen
author_facet Shaolin Li
Shiyao Qin
Ruiming Wang
Qing Li
Chen Chen
author_sort Shaolin Li
collection DOAJ
description The use of wind power has grown rapidly in recent years. Wind power is a clean source of energy, but can have negative impacts on the distribution grid. The influence of large-scale wind power integration on the safe and stable operation of a power system cannot be ignored. It is necessary and urgent to achieve grid adaptability for wind turbines in China. Using a 35 kV/6 MVA grid simulator, the performance of a grid is investigated by simulation. Typical grid disturbances such as voltage deviation, frequency fluctuation, voltage unbalance, and distortion can be simulated. A grid adaptability testing methodology was developed and applied to a doubly fed wind turbine with a focus on analyzing real test data to ascertain its three-phase voltage unbalance adaptability, which was successfully demonstrated. The methodology can also be used to guide other grid adaptability tests.
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spelling doaj.art-b4702a8e554e46e8b5e5c88d62342b3f2022-12-21T19:53:44ZengIEEEJournal of Modern Power Systems and Clean Energy2196-54202013-01-0111818710.1007/s40565-013-0008-08939545Study on grid adaptability testing methodology for wind turbinesShaolin Li0Shiyao Qin1Ruiming Wang2Qing Li3Chen Chen4China Electric Power Research Institute,Beijing,China,100192China Electric Power Research Institute,Beijing,China,100192China Electric Power Research Institute,Beijing,China,100192China Electric Power Research Institute,Beijing,China,100192China Electric Power Research Institute,Beijing,China,100192The use of wind power has grown rapidly in recent years. Wind power is a clean source of energy, but can have negative impacts on the distribution grid. The influence of large-scale wind power integration on the safe and stable operation of a power system cannot be ignored. It is necessary and urgent to achieve grid adaptability for wind turbines in China. Using a 35 kV/6 MVA grid simulator, the performance of a grid is investigated by simulation. Typical grid disturbances such as voltage deviation, frequency fluctuation, voltage unbalance, and distortion can be simulated. A grid adaptability testing methodology was developed and applied to a doubly fed wind turbine with a focus on analyzing real test data to ascertain its three-phase voltage unbalance adaptability, which was successfully demonstrated. The methodology can also be used to guide other grid adaptability tests.https://ieeexplore.ieee.org/document/8939545/Wind turbinesGrid simulatorGrid adaptability testing
spellingShingle Shaolin Li
Shiyao Qin
Ruiming Wang
Qing Li
Chen Chen
Study on grid adaptability testing methodology for wind turbines
Journal of Modern Power Systems and Clean Energy
Wind turbines
Grid simulator
Grid adaptability testing
title Study on grid adaptability testing methodology for wind turbines
title_full Study on grid adaptability testing methodology for wind turbines
title_fullStr Study on grid adaptability testing methodology for wind turbines
title_full_unstemmed Study on grid adaptability testing methodology for wind turbines
title_short Study on grid adaptability testing methodology for wind turbines
title_sort study on grid adaptability testing methodology for wind turbines
topic Wind turbines
Grid simulator
Grid adaptability testing
url https://ieeexplore.ieee.org/document/8939545/
work_keys_str_mv AT shaolinli studyongridadaptabilitytestingmethodologyforwindturbines
AT shiyaoqin studyongridadaptabilitytestingmethodologyforwindturbines
AT ruimingwang studyongridadaptabilitytestingmethodologyforwindturbines
AT qingli studyongridadaptabilitytestingmethodologyforwindturbines
AT chenchen studyongridadaptabilitytestingmethodologyforwindturbines