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