Emerging Signal Processing Techniques for Power Quality Applications

Abstract

He has been authored over 60 journal and conference papers, one book chapter and holds six patents. His research interests include computational intelligence, signal processing, power quality, power line communication, and digital communications. He received student awards from IECON '01 and ISIE '03. He is a member of the TPC of the ISPLC '06, ISPLC '07, Globecom '07, CERMA '06, CERMA '07, and ANDESCOM '06, Chair of the 2007 Workshop about PLC in Brazil, and a Member of the IEEE Com-Soc TC on Power Line Communications. He is a Member of the IEEE.

Detection of Disturbances in Voltage Signals for Power Quality Analysis Using HOS

“…This concept is very attractive, because the vectors f ss +Δf ss +v f and h+i+t+v u can reveal insightful and different information from the voltage signals. These information not only leads to efficient and simple detection technique, but also contribute to the development of very promising compression, classification, and identification techniques for PQ applications [1].…”

“…The increasing pollution of power line signals and its impact on the quality of power delivery by electrical utilities to end users are pushing forward the development of signal processing tools to provide several functionalities, among them it is worth mentioning the following ones [1]: (i) disturbances detection, (ii) disturbances classification, (iii) disturbance sources identification, (iv) disturbance sources localization, (v) transients analysis, (vi) fundamental, harmonic, and interharmonic parameters estimations, (vii) disturbances compression, (viii) signal segmentation, and so forth.…”

“…Analyzing [2,8], one notes that the advantage of the former technique resides on the fact that it is a more sophisticated technique than the latter one. However, it is worth mentioning that the second-order statistics are very sensitive to the presence of Gaussian noise that usually models the background noise in voltage signals [1,2]. As a result, the use of such statistics could not be appropriate for those cases where the power of background noise is high.…”

Detection of power quality disturbances using symbolic dynamics

“…Detection and Characterization of PQ disturbances is a challenging task [2], but it has been effectively dealt using advanced signal processing techniques [3] and application of advanced mathematical tools in tandem with artificial Intelligence techniques [4]. Huge volume of literature is being published in this area from last many years' shows that it is a most sought after area with bounty of scope for innovations by developing new tools and techniques.…”

Neural Network Based Indexing and Recognition of Power Quality Disturbances

“…with time scale ranges from tens of nanoseconds to steady state as shown in Table 1 cause behind it so that mitigation actions can be initiated. This is a challenging task [2], as it requires effective and new signal processing techniques for analyzing the PQ disturbances [3] along with good knowledge of power system and application of advanced mathematical tools and artificial Intelligence techniques. Literature survey in [4] shows that research in the area of analysis of PQ disturbances has been increasing from last many years and it is still a most sought after area with bounty of scope for innovations by developing new tools and techniques.…”