Two separate continually online-trained neurocontrollers for excitation and turbine control of a turbogenerator

被引：45
作者：
Venayagamoorthy, GK [1 ]
Harley, RG
机构：
[1] Univ Missouri, Dept Elect & Comp Engn, Rolla, MO 65409 USA
[2] Univ KwaZulu Natal, Sch Elect & Elect Engn, ZA-4041 Durban, South Africa
[3] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA
来源：
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS | 2002年 / 38卷 / 03期
关键词：
continual online training; excitation and turbine control; neurocontrollers; turbogenerator control;
D O I：
10.1109/TIA.2002.1003445
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper presents the design of two separate continually online trained (COT) neurocontrollers for excitation and turbine control of a turbogenerator connected to the infinite bus through a transmission line. These neurocontrollers augment/replace the conventional automatic voltage regulator and the turbine governor of a generator. A third COT artificial neural network is used to identify the complex nonlinear dynamics of the power system. Results are presented to show that the two COT neurocontrollers can control turbogenerators under steady-state as well as transient conditions and, thus, allow turbogenerators to operate more closely to their steady-state stability limits.
引用
收藏
页码：887 / 893
页数：7
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