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Bridging the gap between signal and power
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0003-4074-9529
Eindhoven University of Technology.
University of Texas, Austin.
University of Manchester.
Show others and affiliations
2009 (English)In: IEEE signal processing magazine (Print), ISSN 1053-5888, E-ISSN 1558-0792, Vol. 26, no 4, p. 12-31Article in journal (Refereed) Published
Abstract [en]

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).

Place, publisher, year, edition, pages
2009. Vol. 26, no 4, p. 12-31
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Energy Engineering
Research subject
Electric Power Engineering; Energy Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-4635DOI: 10.1109/MSP.2009.932706ISI: 000267065100003Scopus ID: 2-s2.0-85032775547Local ID: 29c6a7c0-67b5-11de-9f57-000ea68e967bOAI: oai:DiVA.org:ltu-4635DiVA, id: diva2:977509
Note

Validerad; 2009; 20090703 (ysko)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2025-10-21Bibliographically approved

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Bollen, Math

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