Automatic high voltage apparatus optimization: Making it more engineer-friendly

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A key aspect in the design and optimization process of high voltage apparatus is the precise simulation and geometric optimization of the electric electromagnetic field distribution on electrodes and dielectrics. Since these simulations and optimizations are rather compute intensive, the engineer demands a user friendly working environment requiring as little knowledge as possible with regard to the computer specific aspects of the simulation and optimization process. Furthermore, the engineer demands the optimization run to finish as quickly as possible ("push button solution"), i.e. runtimes for extensive optimizations must be kept at an acceptable level. This paper describes a design and optimization working environment for high voltage apparatus that has been developed and implemented in a joint cooperation project between Technische Universität München and Asea Brown Boveri (ABB). Furthermore, some methods that enable the programmer accelerate and adapt the simulation program to specific CPU architecures are introduced. Three practical examples on which the working environment has been tested are presented.

Original languageEnglish
Title of host publicationPARELEC 2006 - Proceedings
Subtitle of host publicationInternational Symposium on Parallel Computing in Electrical Engineering
Pages20-27
Number of pages8
DOIs
StatePublished - 2006
EventInternational Symposium on Parallel Computing in Electrical Engineering, PARELEC 2006 - Bialystok, Poland
Duration: 13 Sep 200617 Sep 2006

Publication series

NamePARELEC 2006 - Proceedings: International Symposium on Parallel Computing in Electrical Engineering

Conference

ConferenceInternational Symposium on Parallel Computing in Electrical Engineering, PARELEC 2006
Country/TerritoryPoland
CityBialystok
Period13/09/0617/09/06

Keywords

  • Cache optimization
  • Electric field simulation
  • Model driven architecture
  • Optimization
  • Profiling

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