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

被引：36
|
作者：
Sonmez, Yusuf [1 ]
Kahraman, H. Tolga [2 ]
Dosoglu, M. Kenan [3 ]
Guvenc, Ugur [3 ]
Duman, Serhat [3 ]
机构：
[1] Gazi Univ, Dept Elect Technol, Gazi Vocat Coll, Ankara, Turkey
[2] Karadeniz Tech Univ, Fac Technol, Dept Software Engn, Trabzon, Turkey
[3] Duzce Univ, Fac Technol, Dept Elect & Elect Engn, Duzce, Turkey
来源：
JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE | 2017年 / 29卷 / 03期
关键词：
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;
D O I：
10.1080/0952813X.2016.1198935
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：495 / 515
页数：21
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