DocumentCode :
3509431
Title :
Multi-agent control system for real-time adaptive VVO/CVR in Smart Substation
Author :
Nasri, Mohsen ; Farhangi, H. ; Palizban, A. ; Moallem, Mehrdad
Author_Institution :
Dept. of Eng. Sci., Simon Fraser Univ. (SFU), Burnaby, BC, Canada
fYear :
2012
fDate :
10-12 Oct. 2012
Firstpage :
1
Lastpage :
7
Abstract :
This paper proposes a multi-agent based control system for real-time and adaptive Volt/VAR Optimization (VVO) and Conservation Voltage Reduction (CVR) in Smart Substations. The design and implementation of the proposed distributed control system using agent technology is discussed in the paper. Furthermore, the architecture, tasks and limits of each Intelligent Agent (IA) as a component of a multi-agent system (MAS) have been explained. A number of control functions are simulated and the results are presented in the paper. The results obtained demonstrate the potential of MAS for improving the efficiency of the system.
Keywords :
control engineering computing; distributed control; multi-agent systems; substation automation; IA; MAS; agent technology; conservation voltage reduction; control functions; distributed control system; intelligent agent; multiagent control system; real-time adaptive VVO-CVR; smart substation; volt-VAR optimization; Control systems; Intelligent agents; Optimization; Reactive power; Real-time systems; Substations; Voltage control; Conservation Voltage Reduction (CVR); Intelligent Agent (IA); Multi-Agent System (MAS); Power Line Communication (PLC); Real-time simulation; Smart Grid; Volt/VAR Optimization (VVO);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Power and Energy Conference (EPEC), 2012 IEEE
Conference_Location :
London, ON
Print_ISBN :
978-1-4673-2081-8
Electronic_ISBN :
978-1-4673-2079-5
Type :
conf
DOI :
10.1109/EPEC.2012.6474950
Filename :
6474950
Link To Document :
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