A memetic algorithm for dynamic economic load dispatch optimization

Sunny Orike, David W. Corne

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

Abstract

The dynamic economic load dispatch (DELD) problem is an extension of the conventional static load dispatch problem in the context of electrical power generation. In the static case, the problem is to optimize the settings for each unit in a generating station so as to supply sufficient power to meet a given overall predicted demand for minimal cost. In the dynamic version of the problem, predicted demand exists for each of a number of successive periods (e.g. 24 hourly periods), and the static version of the problem is to be solved for each period. Until now, the DELD has been treated as a series of static problems. In this paper, we take a memetic algorithm (MA) that has recently provided superior results on some benchmark problems for the static ELD, and we now adapt it for the dynamic case, and investigate a simple dynamic optimization approach to this where the final population of a previous period is used to intialise the population for the next period. This is compared with two baselines, in which (i) the static problems are solved independently, and (ii) the static problems are solved together, treated as a single multi-part problem with suitably adjusted constraints. We evaluate our methods on two benchmark cases of the DELD for which published results exist, and we show that the basic dynamic optimization approach, using our MA, has superior performance to both the baseline approaches and to other approaches published in the literature so far.

Original languageEnglish
Title of host publicationProceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, CIDUE 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
Pages92-99
Number of pages8
DOIs
Publication statusPublished - 10 Oct 2013
Event2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, CIDUE 2013 - 2013 IEEE Symposium Series on Computational Intelligence - Singapore, United Kingdom
Duration: 16 Apr 201319 Apr 2013

Conference

Conference2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, CIDUE 2013 - 2013 IEEE Symposium Series on Computational Intelligence
Abbreviated titleSSCI 2013
CountryUnited Kingdom
CitySingapore
Period16/04/1319/04/13

Keywords

  • Dynamic economic load dispatch
  • Evolutionary algorithm
  • Hill-climbung
  • Memetic algorithm

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics

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  • Cite this

    Orike, S., & Corne, D. W. (2013). A memetic algorithm for dynamic economic load dispatch optimization. In Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, CIDUE 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013 (pp. 92-99). [6595777] https://doi.org/10.1109/CIDUE.2013.6595777