Two separate continually online-trained neurocontrollers for a unified power flow controller

被引：18
|
作者：
Venayagamoorthy, GK [1 ]
Kalyani, RP [1 ]
机构：
[1] Univ Missouri, Real Time Power & Intelligent Syst Lab, Rolla, MO 65409 USA
来源：
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS | 2005年 / 41卷 / 04期
基金：
美国国家科学基金会;
关键词：
indirect adaptive control; neurocontrollers; neuroidentifiers; power system; Unified Power Flow Controller (UPFC);
D O I：
10.1109/TIA.2005.851571
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The crucial factor affecting the modern power systems today is load flow control. The Unified Power Flow Controller (UPFC) provides an effective means for controlling the power flow and improving the transient stability in a power network. The UPFC has fast complex dynamics and its conventional control is based on a linearized model of the power system. This paper presents the design of neurocontrollers to provide better damping during transient and dynamic control. Two separate neurocontrollers are used for controlling the UPFC, one neurocontroller for the shunt inverter and the other for the series inverter. Simulation studies carried out in the PSCAD/EMTDC environment is described and results show the successful control of the UPFC and the power system with two neurocontrollers. Performances of the neurocontrollers are compared with the conventional proportional plus integral controllers for system oscillation damping under different operating conditions for large disturbances.
引用
收藏
页码：906 / 916
页数：11
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