Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Multi-agent system for managing distributed energy storage and electrical vehicles

Multi-agent system for managing distributed energy storage and electrical vehicles This paper proposes an infrastructure for managing distributed power systems with distributed and moving energy storage elements. A flexible and extendible control strategy is applied for smart charging and discharging of energy storage elements to lower the operational cost of energy storage elements and reduce the peak load of the smart gird. A Multi-Agent System (MAS) was developed according to the industrial standards for providing a plug and play platform for managing distributed and moving energy storage elements. Short-term management of energy storage elements is mathematically formulated as a nonlinear mixed-integer optimization problem. An intelligent energy management strategy was implemented on the multi-agent system to provide short-term energy storage requirements in smart grid. Simulation outcomes show the potential capability of the multi-agent system approach for managing distributed and moving energy storage systems in smart grid and effectiveness of the proposed control and management strategy. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Intelligent Decision Technologies IOS Press

Multi-agent system for managing distributed energy storage and electrical vehicles

Loading next page...
 
/lp/ios-press/multi-agent-system-for-managing-distributed-energy-storage-and-cmY9EWKvS2

References (21)

Publisher
IOS Press
Copyright
Copyright © 2015 by IOS Press, Inc
ISSN
1872-4981
eISSN
1875-8843
DOI
10.3233/IDT-140215
Publisher site
See Article on Publisher Site

Abstract

This paper proposes an infrastructure for managing distributed power systems with distributed and moving energy storage elements. A flexible and extendible control strategy is applied for smart charging and discharging of energy storage elements to lower the operational cost of energy storage elements and reduce the peak load of the smart gird. A Multi-Agent System (MAS) was developed according to the industrial standards for providing a plug and play platform for managing distributed and moving energy storage elements. Short-term management of energy storage elements is mathematically formulated as a nonlinear mixed-integer optimization problem. An intelligent energy management strategy was implemented on the multi-agent system to provide short-term energy storage requirements in smart grid. Simulation outcomes show the potential capability of the multi-agent system approach for managing distributed and moving energy storage systems in smart grid and effectiveness of the proposed control and management strategy.

Journal

Intelligent Decision TechnologiesIOS Press

Published: Jan 1, 2015

There are no references for this article.