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

SÖNMEZ Y., KAHRAMAN H. T., Dosoglu M. K., GÜVENÇ U., Duman S.

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

  • Publication Type: Article / Article
  • Volume: 29 Issue: 3
  • Publication Date: 2017
  • Doi Number: 10.1080/0952813x.2016.1198935
  • Journal Name: JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • 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
  • Gazi University Affiliated: Yes

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.