Application of ant colony optimization algorithms to optimal reactive power dispatch

被引：0
|
作者：
Abbasy, Alireza [1 ]
机构：
[1] Ghods Niroo Consulting Engineers, Motahari Ave, Tehran, Iran
来源：
CHALLENGES IN POWER, HIGH VOLTAGES AND MACHINES: PROCEEDINGS OF THE 7TH WSEAS INTERNATIONAL CONFERENCE ON ELECTRIC POWER SYSTEMS, HIGH VOLTAGES, ELECTRIC MACHINES (POWER '07) | 2007年
关键词：
ant colony optimization; ant system; elitist ant system; max-min ant system; optimal reactive; power dispatch;
D O I：
暂无
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：
The optimal reactive power dispatch (ORPD) problem is formulated as a combinatorial optimization problem involving nonlinear objective function with multiple local minima. In this paper, as a new approach, different ant colony optimization (ACO) algorithms are applied to the reactive power dispatch problem. Ant system (AS), the firstly introduced ant colony optimization algorithm, and its direct successors, elitist ant system (EAS), and max-min ant system (MMAS), are employed to solve the reactive power dispatch problem. To analyze the efficiency and effectiveness of these modem search algorithms, the proposed methods are applied to the IEEE 30-bus system and the results are compared to those of conventional mathematical methods, genetic algorithm, evolutionary programming, and particle swarm optimization.
引用
收藏
页码：121 / +
页数：2
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