Parallel algorithm for nonlinear network optimization problems and real-time applications

Shin Yeu Lin*, Xian Chang Guo

*Corresponding author for this work

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

Abstract

In this paper, we propose a parallel algorithm to solve a class of nonlinear network optimization problems. The proposed parallel algorithm is a combination of the successive quadratic programming and the dual method, which can achieve complete decomposition and make parallel computation possible. The proposed algorithm can be applied to solve nonlinear network optimization problems in the smart grid. We have tested the proposed parallel algorithm in solving numerous cases of power flow problems on the IEEE 30-bus system. The test results demonstrate that the proposed parallel algorithm can obtain accurate solution. Additionally, neglecting the data communication time, the proposed parallel algorithm is, ideally, 13.1 times faster than the centralized Newton Raphson's method in solving the power flow problems of the IEEE 30-bus system.

Original languageEnglish
Title of host publicationAlgorithms and Architectures for Parallel Processing - 12th International Conference, ICA3PP 2012, Proceedings
Pages30-40
Number of pages11
EditionPART 1
DOIs
StatePublished - 2012
Event12th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2012 - Fukuoka, Japan
Duration: 04 09 201207 09 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume7439 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2012
Country/TerritoryJapan
CityFukuoka
Period04/09/1207/09/12

Keywords

  • Parallel computation
  • dual method
  • nonlinear network optimization
  • power flow
  • smart grid
  • successive quadratic programming

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