GA-Based Integral Sliding Mode Control for AGC

被引：0
|
作者：
Qian, Dianwei [1 ]
Liu, Xiangjie [1 ]
Ma, Miaomiao [1 ]
Xu, Chang [2 ]
机构：
[1] North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China
[2] Hohai Univ, Coll Energy & Elect, Nanjing 210098, Jiangsu, Peoples R China
来源：
ADVANCES IN SWARM INTELLIGENCE, PT 2, PROCEEDINGS | 2010年 / 6146卷
关键词：
LOAD FREQUENCY CONTROL;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper addresses an integral sliding mode control approach for automatic generation control (AGC) of a single area power system. Genetic algorithm (GA) is employed to search the parameters of the sliding surface. The proposed design is investigated for AGO of a single area power system, made up of reheated thermal and gas power generations. Compared with the GA-based proportion-integral (PI) control, simulation results show the feasibility of the presented method.
引用
收藏
页码：260 / +
页数：2
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