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Multi-agent control system for real-time adaptive VVO/CVR in Smart Substation

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4 Author(s)
M. Nasri ; Department of Engineering Science, Simon Fraser University (SFU), Burnaby, BC, Canada ; H. Farhangi ; A. Palizban ; M. Moallem

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.

Published in:

Electrical Power and Energy Conference (EPEC), 2012 IEEE

Date of Conference:

10-12 Oct. 2012