Abstract
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 a neurocontroller that controls the power flow and regulates voltage along a transmission line. The continually online neurocontroller is used for controlling the series inverter of UPFC. Simulation results carried out in the PSCAD/EMTDC environment are presented to show the successful control of UPFC and the power system.
Recommended Citation
G. K. Venayagamoorthy and R. P. Kalyani, "A Continually Online Trained Neurocontroller for the Series Branch Control of the UPFC," Proceedings of the International Joint Conference on Neural Networks, 2003, Institute of Electrical and Electronics Engineers (IEEE), Jan 2003.
The definitive version is available at https://doi.org/10.1109/IJCNN.2003.1224045
Meeting Name
International Joint Conference on Neural Networks, 2003
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
PSCAD/EMTDC Environment; UPFC; Continually Online Trained Neurocontroller; Fast Complex Dynamics; Linearisation Techniques; Linearized Model; Load Flow Control; Neurocontrollers; Power System Control; Series Branch Control; Series Inverter; Stability; Transient Stability; Unified Power Flow Controller; Voltage Control
International Standard Serial Number (ISSN)
1098-7576
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2003 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jan 2003