Solving non-convex economic dispatch problem using computational intelligence technique

M. H. Mansor, M. M. Othman, I. Musirin, S. A.Mohd Saleh

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

Abstract

This paper presents Immune Log-Normal Evolutionary Programming (ILNEP) optimization technique to solve non-convex economic dispatch problem. ILNEP is developed by incorporating the immune system element and lognormal component in the original evolutionary programming (EP) algorithm. The proposed ILNEP technique is developed to improve the searching process for the global optima to solve the non-convex economic dispatch problem. Implementation on IEEE 14-Bus Reliability Test System revealed that ILNEP outperformed the original artificial immune system (AIS) and EP in achieving the lowest generation cost.

Original languageEnglish
Title of host publicationProceedings of Computing Conference 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages168-172
Number of pages5
ISBN (Electronic)9781509054435
DOIs
Publication statusPublished - 08 Jan 2018
Event2017 SAI Computing Conference 2017 - London, United Kingdom
Duration: 18 Jul 201720 Jul 2017

Publication series

NameProceedings of Computing Conference 2017
Volume2018-January

Other

Other2017 SAI Computing Conference 2017
CountryUnited Kingdom
CityLondon
Period18/07/1720/07/17

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All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Software
  • Artificial Intelligence

Cite this

Mansor, M. H., Othman, M. M., Musirin, I., & Saleh, S. A. M. (2018). Solving non-convex economic dispatch problem using computational intelligence technique. In Proceedings of Computing Conference 2017 (pp. 168-172). (Proceedings of Computing Conference 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SAI.2017.8252099