Application of Grey Wolves-Based Optimization Technique in Multi-area Automatic Generation Control

被引：0
|
作者：
Mallick, Ranjan Kumar [1 ]
Debnath, Manoj Kumar [2 ]
Haque, Fahimul [1 ]
Rout, Rasmi Ranjan [1 ]
机构：
[1] Siksha O Anusandhan Univ, Dept EEE, Bhubaneswar, Odisha, India
[2] Siksha O Anusandhan Univ, Dept EE, Bhubaneswar, Odisha, India
来源：
2016 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, AND OPTIMIZATION TECHNIQUES (ICEEOT) | 2016年
关键词：
Automatic Generation Control (AGC); Grey Wolf Optimization (GWO); PID control; parameter optimization;
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：
In this work a recently reported novel meta-heuristic optimizer called grey wolf optimization(GWO) has been applied to optimize the weighty parameters in automatic generation control(AGC) of interconnected three unequal area thermal system, such as gain constant of PID controller (Kpi, KIi, Kdi). A three unequal area interconnected system is studied as a test system under different loading conditions, the nonlinearities nature of the system are considered into account to confirm the effectiveness of the grey wolf optimization in terms of suitable generation rate constraints(GRC). The result of GWO based PID controller is compared with bacteria foraging based optimization technique [5].
引用
收藏
页码：269 / 274
页数：6
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