An improved local search involving bee colony optimization using lambda iteration combined with a golden section search method to solve an economic dispatch problem

被引：6
|
作者：
Aurasopon, Apinan [1 ,2 ]
Khamsen, Wanchai [1 ,2 ]
机构：
[1] Mahasarakham Univ, Fac Engn, Maha Sarakham 44150, Thailand
[2] Rajamangala Univ Technol Lanna, Fac Engn, Lampang, Thailand
来源：
PRZEGLAD ELEKTROTECHNICZNY | 2019年 / 95卷 / 01期
关键词：
Bee Colony Optimization; Lambda Iteration; Golden Section Search; Economic Dispatch; DIFFERENTIAL EVOLUTION; ALGORITHM;
D O I：
10.15199/48.2019.01.49
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents an improved local search method using bee colony optimization (ILS-BCO) to solve an economic dispatch (ED) problem with smooth cost function characteristic. The proposed ILS-BCO algorithm is an integration of lambda iteration and bee colony optimization (CLI-BCO) combined with golden section search and bee colony optimization (CGS-BCO). To show its effectiveness, the ILS-BCO was applied to test two systems consisting of either 6 or 15 power generating units. Results confirm that the proposed ILS-BCO approach is capable of obtaining rapid convergence and a high quality solution efficiently.
引用
收藏
页码：202 / 208
页数：7
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