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An optimal monitoring program for obtaining voltage sag indices
Department of Electric Power Engineering, Chalmers University of Technology.
Department of Electrical Engineering, University Palermo.
LuleƄ University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0003-4074-9529
2006 (English)In: IEEE Transactions on Power Systems, ISSN 0885-8950, E-ISSN 1558-0679, Vol. 21, no 1, p. 378-384Article in journal (Refereed) Published
Abstract [en]

This paper presents a meter placement method for voltage sags monitoring in large transmission systems. An integer programming-based modeling is proposed for choosing the locations of power quality meters. A branch-and-bound-type algorithm is used to solve the optimization problem. A large transmission network is used to validate the method. Stochastic assessment of voltage sags is applied to the test network to obtain simulated monitoring results. Voltage sags system indexes are calculated from monitoring programs designed according to the optimization method. Comparisons with the system indexes obtained from a full monitoring program show the applicability of the method.

Place, publisher, year, edition, pages
2006. Vol. 21, no 1, p. 378-384
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-2497DOI: 10.1109/TPWRS.2005.857837ISI: 000235017000045Scopus ID: 2-s2.0-32144446100Local ID: 01d22b30-a4bc-11dc-8fee-000ea68e967bOAI: oai:DiVA.org:ltu-2497DiVA, id: diva2:975349
Note
Validerad; 2006; 20071207 (matbol)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Bollen, Math

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