Two separate continually online trained neurocontrollers for a Unified Power Flow Controller

被引：0

作者：

Kalyani, RP ^{[1
]}

Venayagamoorthy, GK ^{[1
]}

机构：

[1] Univ Missouri, Dept Elect & Comp Engn, Rolla, MO 65409 USA

来源：

2003 IEEE INDUSTRY APPLICATIONS CONFERENCE, VOLS 1-3: CROSSROADS TO INNOVATIONS | 2003年

关键词：

adaptive control; neuroidentifier; neurocontroller; power system; Unified Power Flow Controller (UPFC);

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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 that control the power flow and regulates voltage along a transmission line. 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 the two neurocontrollers. Performances of the neurocontrollers are compared with the conventional PI controllers for system oscillation damping.

引用

页码：308 / 315

页数：8

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