Symbiotic organisms search algorithm for dynamic economic dispatch with valve-point effects


Sonmez Y., KAHRAMAN H. T. , Dosoglu M. K. , Guvenc U., Duman S.

JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, vol.29, no.3, pp.495-515, 2017 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 29 Issue: 3
  • Publication Date: 2017
  • Doi Number: 10.1080/0952813x.2016.1198935
  • Title of Journal : JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE
  • Page Numbers: pp.495-515
  • Keywords: Symbiotic organisms search algorithm, dynamic economic load dispatch, optimization, valve-point effect, prohibited operating zones, ramp-rate limits, PARTICLE SWARM OPTIMIZATION, BEE COLONY OPTIMIZATION, LOAD DISPATCH, HARMONY SEARCH, COST FUNCTION, HYBRID EP, UNITS, SQP

Abstract

In this study, symbiotic organisms search (SOS) algorithm is proposed to solve the dynamic economic dispatch with valve-point effects problem, which is one of the most important problems of the modern power system. Some practical constraints like valve-point effects, ramp rate limits and prohibited operating zones have been considered as solutions. Proposed algorithm was tested on five different test cases in 5 units, 10 units and 13 units systems. The obtained results have been compared with other well-known metaheuristic methods reported before. Results show that proposed algorithm has a good convergence and produces better results than other methods.