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Detection of Partial Loss of Excitation Faults in Generator in the Presence of UPFC
Loss of excitation (LOE) occurs in synchronous generators and can harm the generator and have severe implications on the overall power system. LOE was detected with the help of mho-negative offset conventionally that has very low detection speed and misinterprets other conditions such as a stable power swing (SPS) or partial LOE as LOE itself. Such cases of misinterpretation have severe outcomes such as causing blackouts. On top of it, with additional devices in transmission system such as flexible alternating current transmission system (FACTS) devices in particular an unified power flow controller (UPFC), the system impedances vary slightly which is the basis of conventional LOE relays, and therefore ultimately hinders its performance. Here, the system is simulated in MATLAB and Simulink and some useful features are extracted and analyzed. Based on the extracted features an artificial intelligence-based scheme is proposed to differentiate complete LOE, partial LOE (PLOE), SPS and normal conditions. Performance and validity of proposed scheme are highlighted, and results are obtained to show the usefulness of the scheme proposed. Also, the speed of detection and reliability of the proposed scheme are presented keeping in mind the system performances with and without the presence of FACTS devices.
Detection of Partial Loss of Excitation Faults in Generator in the Presence of UPFC
Loss of excitation (LOE) occurs in synchronous generators and can harm the generator and have severe implications on the overall power system. LOE was detected with the help of mho-negative offset conventionally that has very low detection speed and misinterprets other conditions such as a stable power swing (SPS) or partial LOE as LOE itself. Such cases of misinterpretation have severe outcomes such as causing blackouts. On top of it, with additional devices in transmission system such as flexible alternating current transmission system (FACTS) devices in particular an unified power flow controller (UPFC), the system impedances vary slightly which is the basis of conventional LOE relays, and therefore ultimately hinders its performance. Here, the system is simulated in MATLAB and Simulink and some useful features are extracted and analyzed. Based on the extracted features an artificial intelligence-based scheme is proposed to differentiate complete LOE, partial LOE (PLOE), SPS and normal conditions. Performance and validity of proposed scheme are highlighted, and results are obtained to show the usefulness of the scheme proposed. Also, the speed of detection and reliability of the proposed scheme are presented keeping in mind the system performances with and without the presence of FACTS devices.
Detection of Partial Loss of Excitation Faults in Generator in the Presence of UPFC
J. Inst. Eng. India Ser. B
Yadav, Anamika (Autor:in) / Mishra, Ayush (Autor:in) / Bhatnagar, Maanvi (Autor:in)
Journal of The Institution of Engineers (India): Series B ; 102 ; 213-226
01.04.2021
14 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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