Detection and Classification of Transient Disturbances in Power Systems

• Costa Flávio Bezerra

  Department of Electrical Engineering at Federal University of Campina Grande

• Souza Benemar Alencar de

  Department of Electrical Engineering at Federal University of Campina Grande

• Brito Núbia Silva Dantas

  Department of Electrical Engineering at Federal University of Campina Grande

抄録

This paper presents a wavelet-based method for transient disturbance analysis in oscillographic records of the transmission power systems. The proposed method can recognize faults and other disturbances with transients, such as voltage sags and switching transients in power systems. Developing faults and multiple transient disturbances in a single oscillographic record, such as a fault followed by an automatic line reclosing are also detected. The proposed method is based on the analysis of the wavelet coefficient energies of the phase voltages and currents achieved by sliding data windows with length equivalent to one cycle of the fundamental power frequency. These energy waveforms are normalized and records from a nonspecific line in a generic network with different sampling rates and rated voltages can be evaluated without distinction. The performance of the method was evaluated for both actual records from a Brazilian Power System and records simulated on Real Time Digital Simulator (RTDS) and good results were obtained.

収録刊行物

• 電気学会論文誌Ｂ（電力・エネルギー部門誌）

  電気学会論文誌Ｂ（電力・エネルギー部門誌） 130 (10), 910-916, 2010

  一般社団法人 電気学会

キーワード

• transient disturbance detection
• fault detection
• discrete wavelet transform

詳細情報

• CRID: 1390001204602252032
• NII論文ID: 10026693862
• NII書誌ID: AN10136334
• DOI: 10.1541/ieejpes.130.910
• ISSN: 13488147
• ISSN: 03854213
• NDL書誌ID: 10831730
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I10831730
• Web Site: http://www.jstage.jst.go.jp/article/ieejpes/130/10/130_10_910/_pdf
• 本文言語コード: en
• データソース種別:
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  • NDL
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• 抄録ライセンスフラグ: 使用不可