Super-Positioning of Voltage Sources for Fast Assessment of Wide-Area Thévenin Equivalents

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Abstract

A method for superimposing voltage sources is sought optimized by using a sparse triangular solver and multiprocessing. A revision to the method is suggested which exploits Schur’s complement of the network admittance matrix and optimal re-use of computations. The algorithm is implemented and parallelized for shared memory multiprocessing. The proposed algorithm is tested on a collection of large test systems and performance is found to be significantly better than the reference method. The algorithm will thereby facilitate a speed-up of methods relying on Thévenin equivalent representation such as the Thévenin equivalent method for contingency assessment.
Original languageEnglish
Title of host publicationProceedings of the 2018 IEEE PES General Meeting
PublisherIEEE
Publication date2018
ISBN (Print)9781538677032
DOIs
Publication statusPublished - 2018
Event2018 IEEE PES General Meeting - Oregon Convention Center, Portland, United States
Duration: 5 Aug 20189 Aug 2018

Conference

Conference2018 IEEE PES General Meeting
LocationOregon Convention Center
CountryUnited States
CityPortland
Period05/08/201809/08/2018

Cite this

@inproceedings{730f8d48fbaa4758b56debc18ee553b0,
title = "Super-Positioning of Voltage Sources for Fast Assessment of Wide-Area Th{\'e}venin Equivalents",
abstract = "A method for superimposing voltage sources is sought optimized by using a sparse triangular solver and multiprocessing. A revision to the method is suggested which exploits Schur’s complement of the network admittance matrix and optimal re-use of computations. The algorithm is implemented and parallelized for shared memory multiprocessing. The proposed algorithm is tested on a collection of large test systems and performance is found to be significantly better than the reference method. The algorithm will thereby facilitate a speed-up of methods relying on Th{\'e}venin equivalent representation such as the Th{\'e}venin equivalent method for contingency assessment.",
author = "M{\o}ller, {Jakob Glarbo} and Hj{\"o}rtur J{\'o}hannsson and Jacob {\O}stergaard",
year = "2018",
doi = "10.1109/PESGM.2018.8585962",
language = "English",
isbn = "9781538677032",
booktitle = "Proceedings of the 2018 IEEE PES General Meeting",
publisher = "IEEE",
address = "United States",

}

Møller, JG, Jóhannsson, H & Østergaard, J 2018, Super-Positioning of Voltage Sources for Fast Assessment of Wide-Area Thévenin Equivalents. in Proceedings of the 2018 IEEE PES General Meeting. IEEE, 2018 IEEE PES General Meeting , Portland, United States, 05/08/2018. https://doi.org/10.1109/PESGM.2018.8585962

Super-Positioning of Voltage Sources for Fast Assessment of Wide-Area Thévenin Equivalents. / Møller, Jakob Glarbo; Jóhannsson, Hjörtur; Østergaard, Jacob.

Proceedings of the 2018 IEEE PES General Meeting. IEEE, 2018.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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T1 - Super-Positioning of Voltage Sources for Fast Assessment of Wide-Area Thévenin Equivalents

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AU - Østergaard, Jacob

PY - 2018

Y1 - 2018

N2 - A method for superimposing voltage sources is sought optimized by using a sparse triangular solver and multiprocessing. A revision to the method is suggested which exploits Schur’s complement of the network admittance matrix and optimal re-use of computations. The algorithm is implemented and parallelized for shared memory multiprocessing. The proposed algorithm is tested on a collection of large test systems and performance is found to be significantly better than the reference method. The algorithm will thereby facilitate a speed-up of methods relying on Thévenin equivalent representation such as the Thévenin equivalent method for contingency assessment.

AB - A method for superimposing voltage sources is sought optimized by using a sparse triangular solver and multiprocessing. A revision to the method is suggested which exploits Schur’s complement of the network admittance matrix and optimal re-use of computations. The algorithm is implemented and parallelized for shared memory multiprocessing. The proposed algorithm is tested on a collection of large test systems and performance is found to be significantly better than the reference method. The algorithm will thereby facilitate a speed-up of methods relying on Thévenin equivalent representation such as the Thévenin equivalent method for contingency assessment.

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DO - 10.1109/PESGM.2018.8585962

M3 - Article in proceedings

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BT - Proceedings of the 2018 IEEE PES General Meeting

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