Stochastic power grid analysis considering process variations

Praveen Ghanta, Sarma Vrudhula, Rajendran Panda, Janet Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

35 Scopus citations

Abstract

In this paper, we investigate the impact of interconnect and device process variations on voltage fluctuations in power grids. We consider random variations in the power grid's electrical parameters as spatial stochastic processes and propose a new and efficient method to compute the stochastic voltage response of the power grid. Our approach provides an explicit analytical representation of the stochastic voltage response using orthogonal polynomials in a Hubert space. The approach has been implemented in a prototype software called OPERA (Orthogonal Polynomial Expansions for Response Analysis). Use of OPERA on industrial power grids demonstrated speed-ups of up to two orders of magnitude. The results also show a significant variation of about ±35% in the nominal voltage drops at various nodes of the power grids and demonstrate the need for variation-aware power grid analysis.

Original languageEnglish (US)
Title of host publicationProceedings - Design, Automation and Test in Europe, DATE '05
Pages964-969
Number of pages6
DOIs
StatePublished - Dec 1 2005
EventDesign, Automation and Test in Europe, DATE '05 - Munich, Germany
Duration: Mar 7 2005Mar 11 2005

Publication series

NameProceedings -Design, Automation and Test in Europe, DATE '05
VolumeII
ISSN (Print)1530-1591

Other

OtherDesign, Automation and Test in Europe, DATE '05
CountryGermany
CityMunich
Period3/7/053/11/05

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Ghanta, P., Vrudhula, S., Panda, R., & Wang, J. (2005). Stochastic power grid analysis considering process variations. In Proceedings - Design, Automation and Test in Europe, DATE '05 (pp. 964-969). [1395712] (Proceedings -Design, Automation and Test in Europe, DATE '05; Vol. II). https://doi.org/10.1109/DATE.2005.282