Neuroidentification of system parameters of the UPFC in a multimachine power system

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：

PROCEEDINGS OF INTERNATIONAL CONFERENCE ON INTELLIGENT SENSING AND INFORMATION PROCESSING | 2004年

关键词：

multimachine power system; Unified Power Flow Controller (UPFC); neuroidentification; series neuroidentifier; shunt neuroidentifier; adaptive 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：

The crucial factor affecting the modern power systems today is load flow control. The Unified Power Flow Controller is an effective means for controlling the power flow. The UPFC is controlled conventionally using PI Controllers. This paper presents the designs of neuroidentifiers that models the system dynamics one-time step ahead making the pathway for the design of adaptive neurocontrollers. Two neuroidentifiers are used for identifying the nonlinear dynamics of a multimachine power system and UPFC, one neuroidentifier for the shunt inverter and another for the series inverter. Simulation results carried out in the PSCAD/EMTDC environments on multimachine power system are presented to show the successful neuroidentification of system dynamics.

引用

页码：243 / 248

页数：6

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