Detection of inconspicuous power quality disturbances through step changes in rms voltage profile. Issue 11 (23rd April 2019)

• Record Type: Journal Article
• Authors: Furlani Bastos, Alvaro; Freitas, Walmir; Todeschini, Grazia; Santoso, Surya
• Is Part Of: IET generation, transmission & distribution. Volume 13:Issue 11(2019)
• Page Start: 2226
• Page End: 2235
• Publication Date: 2019-04-23
• Subjects: median filters -- power supply quality; rms voltage -- power systems -- current waveforms -- raw waveforms -- root‐mean‐square voltage -- step change detector -- switching events -- inconspicuous power quality disturbances -- voltage waveforms; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2018.6511
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : Power quality disturbances commonly observed in power systems have been studied for decades, resulting in numerous algorithms for detecting the events that affect the voltage and/or current waveforms. However, a considerable amount of disturbances is not visually observable in the raw waveforms, especially switching operations. These events must be detected through an alternative feature, such as abrupt variations in the root‐mean‐square (rms) voltage profile. This study examines the methods commonly used for detecting power quality disturbances in the waveform or rms voltage profile domains and identifies their limitations. Afterwards, a novel step change detector is proposed based on a modified median filter and rms voltage gradient values to overcome the deficiencies of the existing methods. The effectiveness of the proposed method is assessed by applying it to both simulated and field data. This assessment shows that the method detects all switching events with no false positives for the datasets under analysis.