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
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);
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
DOI :
10.1109/EPEC.2012.6474950