Bridging the gap between signal and power: Assessing power system quality using signal processing techniques

Math H J Bollen, Irene Y H Gu, Surya Santoso, Mark F. Mcgranaghan, Peter A. Crossley, Moisés V. Ribeiro, Paulo F. Ribeiro

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Signal processing has been used in many different applications, including electric power systems. This is an important category, since a wide variety of digital measurements is available and data analysis is required to deliver diagnostic solutions and correlation with known behaviors. Measurements are taken at numerous locations, and the analysis of data applies to a variety of issues in power quality (PQ) and reliability power system and equipment diagnostics power system control power system protection. This article focuses on problems and issues related to PQ and power system diagnostics, in particular those where signal processing techniques are extremely important. PQ is a general term that describes the quality of voltage and current waveforms. PQ problems include all electric power problems or disturbances in the supply system that prevent end-user equipment from operating properly. Examples of voltage and current variations that can result in PQ problems include voltage interruptions, long- and short-duration voltage variations, steady-state research opportunities that use the measured voltages and currents to indicate possible equipment and system problems (referred to as equipment diagnostics). © 2009 IEEE.
    Original languageEnglish
    Pages (from-to)12-31
    Number of pages19
    JournalIEEE Signal Processing Magazine
    Volume26
    Issue number4
    DOIs
    Publication statusPublished - 2009

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