JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, vol.29, no.3, pp.495-515, 2017 (SCI-Expanded)
Article / Article
JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE
Science Citation Index Expanded (SCI-EXPANDED), Scopus
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
Karadeniz Technical University Affiliated:
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.