Parallel evolutionary programming for optimal power flow

C. H. Lo, C. Y. Chung, D. H.M. Nguyea, K. P. Wong

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 Citations (Scopus)

Abstract

This paper proposes a parallel evolutionary programming (EP) approach for solving the optimal power flow (OPF) problem. The parallel EP-OPF approach is less sensitive to the choice of starting points and types of generator cost curves. The developed algorithm is implemented on a Beowulf cluster with 31 Intel Pentium IV 2.66GHz processors which are arranged in master-slave structure. The proposed approach has been tested on the IEEE 30- and 118-bus systems. Computational speedup and performance of the master-slave topology is then compared to those of the sequential EP approach.

Original languageEnglish
Title of host publicationProceedings of the 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies (DRPT2004)
Pages190-195
Number of pages6
Publication statusPublished - Apr 2004
EventProceedings of the 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies (DRPT2004) - Hong Kong, China
Duration: 5 Apr 20048 Apr 2004

Publication series

NameProceedings of the 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies (DRPT2004)
Volume1

Conference

ConferenceProceedings of the 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies (DRPT2004)
Country/TerritoryChina
CityHong Kong
Period5/04/048/04/04

Keywords

  • Evolutionary Programming
  • Optimal Power Flow
  • Optimization

ASJC Scopus subject areas

  • General Engineering

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