Abstract
A Multilayer Perceptron (MLP) neural network-based approach for estimation of the voltage stability L-index in a power system with Plug-in Electric Vehicles (PEVs) is presented. This technique overcomes the limitations of direct calculation of L-index from measurements at a load bus. the L-index calculation is dependent upon the no-load voltage phasor for any given system topology and operating condition. in practice it is difficult to obtain no-load voltage phasor at a bus each time the system topology or operating point changes. an MLP neural network-based method capable of estimating voltage stability L-index at a load bus using direct measurements and that does is independent of the no-load voltage phasor of the bus is presented. Results show that the MLP accurately estimates the voltage stability L-index for different cases of system topologies and operating conditions. ©2010 IEEE.
Recommended Citation
K. J. Makasa and G. K. Venayagamoorthy, "Estimation of Voltage Stability Index in a Power System with Plug-in Electric Vehicles," 2010 IREP Symposium - Bulk Power System Dynamics and Control - VIII, IREP2010, article no. 5563272, Institute of Electrical and Electronics Engineers, Oct 2010.
The definitive version is available at https://doi.org/10.1109/IREP.2010.5563272
Department(s)
Electrical and Computer Engineering
International Standard Book Number (ISBN)
978-142447467-7
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
25 Oct 2010
