Neuroidentification of system parameters for the shunt & series branch control of UPFC

被引：1

作者：

Kalyani, RP ^{[1
]}

Venayagamoorthy, GK ^{[1
]}

Crow, M ^{[1
]}

机构：

[1] Univ Missouri, Dept Elect & Comp Engn, Rolla, MO 65401 USA

来源：

2003 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-4, CONFERENCE PROCEEDINGS | 2003年

关键词：

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

D O I：

10.1109/PES.2003.1271018

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The crucial factor affecting the modern power systems today is load flow control. The Unified Power Flow Controller (UPFC) forms an affective means for controlling the power flow. The UPFC consists of shunt and series inverters which are conventionally controlled using linear controllers. This paper presents the design of neuroidentifiers that identify the system parameters that determine the UPFC controller outputs one-time step ahead thus, making the pathway for the design of adaptive neurocontrollers. Two neuroidentifiers are used for identifying the nonlinear dynamics of power system and UPFC, one neuroidentifier for the shunt inverter and the other for the series inverter. Simulation results carried out in the PSCAD/EMTDC environment are presented to show the successful neuroidentification of system parameters are possible.

引用

页码：2407 / 2412

页数：6

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