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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).
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Contributor : Aida Todri-Sanial Connect in order to contact the contributor
Submitted on : Sunday, December 27, 2015 - 9:41:23 PM
Last modification on : Friday, August 5, 2022 - 10:48:17 AM




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. ⟨10.1109/SaPIW.2015.7237399⟩. ⟨lirmm-01248589⟩



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