A node clustering reduction scheme for power grids electrothermal analysis

Abstract : This paper presents a new technique to lower the computational cost of the electrothermal (ET) analysis of a large on-chip power distribution network. It is based on a node reduction strategy following a preliminary efficient steady-state solution of the ET problem. After a proper classification of nodes according to temperature and voltage drop ranges, a reduced network is then produced by means of clustering and topological network transformations, and is available for any static/dynamic analysis. Due to the achievable reduction ratios, it possible to lower by order of magnitudes the computational cost at very good accuracies. A case-study is provided where a power grid of 4 millions of nodes is reduced by a factor of 180 (electrical network) and 500 (thermal network).
Type de document :
Communication dans un congrès
SPI: Signal and Power Integrity, May 2015, Berlin, Germany. Signal and Power Integrity (SPI), 2015 IEEE 19th Workshop on, pp.1-4, 2015, 〈10.1109/SaPIW.2015.7237399〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01248589
Contributeur : Aida Todri-Sanial <>
Soumis le : dimanche 27 décembre 2015 - 21:41:23
Dernière modification le : jeudi 28 juin 2018 - 17:53:16

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Alessandro Magnani, M. De Magistris, Antonio Maffucci, Aida Todri-Sanial. A node clustering reduction scheme for power grids electrothermal analysis. SPI: Signal and Power Integrity, May 2015, Berlin, Germany. Signal and Power Integrity (SPI), 2015 IEEE 19th Workshop on, pp.1-4, 2015, 〈10.1109/SaPIW.2015.7237399〉. 〈lirmm-01248589〉

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