Abstract
With the increase in renewable energy sources connected to the power grid, better identification tools are needed for power system voltage profile prediction. Current deregulation trends have led to voltages operating close to stability limits which increases the need for quick estimation tools for system security and contingency analysis. This paper presents a Cellular Multilayer Perceptron (CMLP) architecture for fast identification and prediction of bus voltages. the CMLP method is compared with a standard MLP neural network for bus voltage prediction on the 12-bus three-area test power system. CMLPs can represent a direct mapping of any power system simplifying the equations and allowing for easy scalability to large power systems. © 2009 IEEE.
Recommended Citation
L. L. Grant and G. K. Venayagamoorthy, "Cellular Multilayer Perceptron for Prediction of Voltages in a Power System," 2009 15th International Conference on Intelligent System Applications to Power Systems, ISAP '09, article no. 5352925, Institute of Electrical and Electronics Engineers, Dec 2009.
The definitive version is available at https://doi.org/10.1109/ISAP.2009.5352925
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Cellular Multilayer Perceptron (CMLP); Multilayer Perceptron (MLP); Small Population Particle Swarm Optimization (SPPSO)
International Standard Book Number (ISBN)
978-142445098-5
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
09 Dec 2009
