Adaptive Cuckoo Search Algorithm for solving dynamic economic dispatch large scale system

Rizka Abdullah, Farizal

Research output: Contribution to journalConference articlepeer-review

Abstract

In this paper, Adaptive Cuckoo Search (ACS) Algorithm is proposed for solving dynamic economic dispatch. Dynamic economic dispatch is to minimize the cost of total power production in 24 hours with considering multi fuel, generator limit, ramp rate. The proposed ACS Algorithm method has been developed on the original cuckoo search algorithm (CSA) to improve optimal solution quality. Adaptive Cuckoo search (ACS) algorithm based on the Cuckoo search (CS) for optimization. The main thrust is to decide the step size adaptively from its fitness value without using the Levy distribution. The results obtained by ACSA have been compared to those from other methods available in the literature and the result comparison has indicated that the ACSA method can obtain better solution quality than other methods. Therefore, the proposed ACSA can be a very effective and efficient method for solving ELD problems.

Original languageEnglish
Pages (from-to)251-256
Number of pages6
JournalProceedings of the International Conference on Industrial Engineering and Operations Management
Issue numberNovember
Publication statusPublished - 1 Jan 2019
Event1st GCC International Conference on Industrial Engineering and Operations Management, IEOM 2019 - riyadh, Saudi Arabia
Duration: 26 Nov 201928 Nov 2019

Keywords

  • Adaptive cuckoo search algorithm
  • Cuckoo search algorithm
  • Dynamic economic dispatch
  • Generator limit
  • Ramp rate

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