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.

Meeting Name

IEEE Power Engineering Society General Meeting (2003: Jul. 13-17, Toronto, Canada)


Electrical and Computer Engineering

Keywords and Phrases

PSCAD/EMTDC Environment; UPFC; Adaptive Control; Adaptive Neurocontrollers; Invertors; Linear Controllers; Load Flow Control; Neurocontrollers; Neuroidentification; Power System CAD; Power System Identification; Power System Nonlinear Dynamics; Series Branch Control; Series Inverters; Shunt Branch Control; Shunt Inverters; Unified Power Flow Controller

International Standard Book Number (ISBN)


Document Type

Article - Conference proceedings

Document Version

Final Version

File Type





© 2003 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Jul 2003