Determining accurate area of vulnerability for reliable voltage sag assessment considering wind turbine ride-through capability
•A new method is proposed to identify accurate AOV to voltage sags.•The method considers wind turbines LVRT capability.•A new method is proposed to calculate accurate expected sag frequencies for WTs.•As shown, method can also be applied to buses with sensitive loads and equipment.•The results are v...
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Veröffentlicht in: | International journal of electrical power & energy systems 2020-07, Vol.119, p.105875, Article 105875 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
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Zusammenfassung: | •A new method is proposed to identify accurate AOV to voltage sags.•The method considers wind turbines LVRT capability.•A new method is proposed to calculate accurate expected sag frequencies for WTs.•As shown, method can also be applied to buses with sensitive loads and equipment.•The results are verified by making comparison with recent valid methods.
The accurate calculation of area of vulnerability (AOV) and expected sag frequency (ESF), which in turn leads to reliable assessment of voltage sag performance, is very useful in establishing efficient planning for the mitigation of voltage sags at buses where sensitive equipment are installed. This paper proposes a method for accurate determination of AOV for fault induced voltage sags. To do so, different mathematical solvers are used to solve the residual voltage equations in order to find the accurate critical points on lines partially included in AOV. Moreover, a new iteration-based technique is developed to calculate ESF with high degree of accuracy considering low voltage ride-through requirement for wind turbines. The proposed technique can efficiently and accurately assess voltage sag performance at wind turbine connection points and provides reliable long-term performance evaluation of tendency and degree of voltage sag occurrences expected to cause wind turbine disconnection. The proposed method is applied on IEEE 30-bus test system penetrated with eight wind turbines and a practical network of Iran equipped with sensitive loads. |
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ISSN: | 0142-0615 1879-3517 |
DOI: | 10.1016/j.ijepes.2020.105875 |