Title :
Smart grids as distributed learning control
Author :
Hill, D.J. ; Liu, T. ; Verbic, G.
Author_Institution :
Sch. of Electr. & Inf. Eng., Univ. of Sydney, Sydney, NSW, Australia
Abstract :
The topic of smart grids has received a lot of attention but from a scientific point of view it is a highly imprecise concept. This paper attempts to describe what could ultimately work as a control process to fulfill the aims usually stated for such grids without throwing away some important principles established by the pioneers in power system control. In modern terms, we need distributed (or multi-agent) learning control which is suggested to work with a certain consensus mechanism which appears to leave room for achieving cyber-physical security, robustness and performance goals.
Keywords :
distributed parameter systems; learning systems; multi-agent systems; power system control; smart power grids; consensus mechanism; cyber-physical security; distributed learning control; multi-agent control; performance goals; power system control; smart grids; Australia; Distributed control; Power system control; Power system stability; Smart grids; Voltage control; Adaptive systems; Distributed control; Networked control systems; Smart grids;
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
DOI :
10.1109/PESGM.2012.6344726