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.


Electrical and Computer Engineering

Keywords and Phrases

EMTDC; Indirect Adaptive Control; PI Control; PSCAD; Unified Power Flow Controller (UPFC); Control Engineering Computing; Invertors; Load Flow Control; Neurocontrollers; Neuroidentifiers; Online Trained Neurocontrollers; Oscillations; Power Network Transient Stability; Power System; Power System CAD; Power System Control; Power System Faults; Power System Transient Stability; Proportional Plus Integral Controllers; Shunt Inverter; System Oscillation Damping; Unified Power Flow Controller

International Standard Serial Number (ISSN)


Document Type

Article - Journal

Document Version

Final Version

File Type





© 2005 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Jan 2005