Abstract
The power systems of the future - smart grids - will see an increase in both renewable energy sources and load demand, thus increasing the need for fast dynamic reconfiguration of system parameters to handle energy and load dispatches. Power systems will need to be monitored continuously to maintain stability under normal and abnormal operating conditions and when facing disturbances. a combination of system state prediction, dynamic power flow, system optimization, and solution stability checking will allow for a more reliable, affordable, efficient and clean power grid. the optimization and control systems on a smart grid will require a computational systems thinking capability to handle the uncertainties and variability that exist in a smart grid environment. the concept of sense-making based on computational intelligence methods, including neural networks, fuzzy logic and swarm intelligence, as well as online measurements from a smart grid to provide 'situational' awareness in the context of stability, is introduced in this paper. © 2011 IEEE.
Recommended Citation
G. K. Venayagamoorthy, "Intelligent Sense-making for Smart Grid Stability," IEEE Power and Energy Society General Meeting, article no. 6039876, Institute of Electrical and Electronics Engineers, Dec 2011.
The definitive version is available at https://doi.org/10.1109/PES.2011.6039876
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
computational intelligence; intelligent agents; sense-making; situational awareness; smart grid; stability; transient stability assessment; wide area monitoring and control
International Standard Book Number (ISBN)
978-145771001-8
International Standard Serial Number (ISSN)
1944-9933; 1944-9925
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 2011
