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Novel Moving Average Filter for Detecting RMS Voltage Step Changes in Triggerless PQ Data
Bastos, Alvaro Furlani1,2; Lao, Keng-Weng1,3; Todeschini, Grazia4; Santoso, Surya1
2018-12
Source PublicationIEEE TRANSACTIONS ON POWER DELIVERY
ISSN0885-8977
Volume33Issue:6Pages:2920-2929
AbstractThe voluminous amount of raw waveform data recorded by triggerless power quality monitors contain conspicuous and inconspicuous disturbance events. Data reduction and detection techniques are needed to efficiently extract useful information hidden in the raw data and identify power quality disturbances. The overall objective of this study is to use step changes in the rms voltage profile as an alternative triggering feature for automatically detecting switching events. The full characterization of the event is based on processing a small portion of the voltage waveform selected around the detected rms voltage step change. A filtering method is proposed to smooth out rapid fluctuations in the rms voltage profile during steady-state operation, while preserving the sharp edges caused by rms voltage step changes. Once the rms voltage profile has been filtered, adaptive limits based on the median absolute deviation are computed for detecting rms voltage step changes. The effectiveness of the proposed technique is evaluated using triggerless voltage waveforms to detect capacitor switching events. The use of the filtered rms voltage profile allows accurate detection of capacitor energizing and de-energizing events, while more than 50% of the detections in the unfiltered profile correspond to false-positives.
KeywordCapacitor switching power quality moving average and median filters rms voltage profile triggerless data voltage step change
DOI10.1109/TPWRD.2018.2831183
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000451230500037
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
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Citation statistics
Cited Times [WOS]:3   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.Univ Texas Austin, Dept Elect & Comp Engn, Austin, TX 78712 USA;
2.Minist Educ, CAPES Fdn, BR-70040031 Brasilia, DF, Brazil;
3.Univ Macau, Dept Elect & Comp Engn, Macau 999078, Peoples R China;
4.Swansea Univ, Coll Engn, Swansea SA2 8PP, W Glam, Wales
Recommended Citation
GB/T 7714
Bastos, Alvaro Furlani,Lao, Keng-Weng,Todeschini, Grazia,et al. Novel Moving Average Filter for Detecting RMS Voltage Step Changes in Triggerless PQ Data[J]. IEEE TRANSACTIONS ON POWER DELIVERY,2018,33(6):2920-2929.
APA Bastos, Alvaro Furlani,Lao, Keng-Weng,Todeschini, Grazia,&Santoso, Surya.(2018).Novel Moving Average Filter for Detecting RMS Voltage Step Changes in Triggerless PQ Data.IEEE TRANSACTIONS ON POWER DELIVERY,33(6),2920-2929.
MLA Bastos, Alvaro Furlani,et al."Novel Moving Average Filter for Detecting RMS Voltage Step Changes in Triggerless PQ Data".IEEE TRANSACTIONS ON POWER DELIVERY 33.6(2018):2920-2929.
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