Intelligent Automatic Generation Control: Multi-agent Bayesian Networks Approach

被引：10
|
作者：
Bevrani, H. [1 ,2 ]
Daneshfar, F. [2 ]
Daneshmand, P. R. [2 ]
机构：
[1] Kumamoto Univ, Kumamoto 860, Japan
[2] Univ Kurdistan, Dept Elect & Comp Engn, Sanandaj, Iran
来源：
2010 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL | 2010年
关键词：
AGC; Bayesian networks; Frequency deviation; Multi-agent system;
D O I：
10.1109/ISIC.2010.5612931
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A new intelligent agent based control scheme, using Bayesian networks (BNs), to design automatic generation control (AGC) system in a multi-area power system is addressed. Model independency and flexibility in specifying the control objectives, make the proposed approach as an attractive solution for AGC design in a real-world power system. The proposed control scheme is tested in simulation on a three areas power system and shows desirable performance. The results are also compared with the multi-agent reinforcement learning based AGC design technique.
引用
收藏
页码：773 / 778
页数：6
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