An improved differential evolution algorithm with priority calculation for unit commitment problem

Shi Jim Yen, Wei Liang Chen, Chang Chen, Shun Chin Hsu, I-Chen Wu

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

2 Scopus citations

Abstract

Unit Commitment Problem (UCP) is a high-dimensional, discrete and non-linear optimization problem which is complicated so that it is difficult to find the optimal solution. This paper proposes a new method, called improved priority differential evolution (IPDE), based on differential evolution algorithm and priority calculation to solve UCP. We increased the speed of convergence and the accuracy of solution by means of adjusting individual, using penalty function and calculating priority. Compared with other algorithms, IPDE obtains better feasible solutions in different complexity.

Original languageEnglish
Title of host publicationProceedings - 2014 IEEE International Conference on Granular Computing, GrC 2014
EditorsYasuo Kudo, Shusaku Tsumoto
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages352-357
Number of pages6
ISBN (Electronic)9781479954643
DOIs
StatePublished - 11 Dec 2014
Event2014 IEEE International Conference on Granular Computing, GrC 2014 - Hokkaido, Japan
Duration: 22 Oct 201424 Oct 2014

Publication series

NameProceedings - 2014 IEEE International Conference on Granular Computing, GrC 2014

Conference

Conference2014 IEEE International Conference on Granular Computing, GrC 2014
CountryJapan
CityHokkaido
Period22/10/1424/10/14

Keywords

  • Differential Evolution Algorithm
  • Energy Management
  • Unit Commitment Problem

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