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Validation of agent based reconfiguration scheme using modeling and simulation approach
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Summer Computer Simulation Conference archive
Proceedings of the 2007 summer computer simulation conference table of contents
San Diego, California
SESSION: Model-based specification & simulation-based design and procurement: co-simulation: multidisciplinary, distributed, and partitioned table of contents
Pages 173-180  
Year of Publication: 2007
ISBN:1-56555-316-0
Authors
K. Huang  Florida State University
S. K. Srivastava  Florida State University
D. A. Cartes  Florida State University
Sponsor
SCS : Society for Modeling and Simulation International
Publisher
Society for Computer Simulation International  San Diego, CA, USA
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ABSTRACT

A popular distributed intelligence/control approach for research is the agent based application. Agent based solutions are being applied to diverse problems including reconfiguration of power systems. Although developing an efficient approach is important, also important is the validation of that approach and its realtime or near realtime performance. This paper discusses the importance of modeling and simulation towards verification of an agent based reconfiguration scheme for power systems. Results of two different modeling and simulation approaches are presented. In the first approach Virtual Test Bed software was used for validation of multi agent based reconfiguration algorithm. In the second case the same agents' performance was analyzed with processor-in-the-loop experiments with a real time digital simulator.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
T. Nagata, H. Sasaki, "A Multi-agent Approach to Power System Restoration", IEEE Transaction on Power System, vol. 17, no. 2, May 2002, pp. 457--462
 
2
T. Nagata, H. Fujita, H. Sasaki, "Decentralized Approach to Normal Operations for Power System Network", Proceedings of the 13th International Conference on Intelligent Systems Application to Power Systems, Nov. 2005, pp. 407--412
 
3
S. K. Srivastava, H. Xiao, and K. L Butler-Purry, "Multi-Agent System for Automated Service Restoration of Shipboard Power Systems", 15th International Conference on Computer Applications in Industry and Engineering, San Diego, CA, 7--9 November 2002
 
4
L. Sun and D. A. Cartes, "Reconfiguration of Shipboard Radial Power System using Intelligent Agents", ASNE Electric Machine Technique Symposium, Jan. 2004
 
5
K. Huang, S. K. Srivastava, D. A. Cartes, "Solving the Information Accumulation Problem in Mesh Structured Agent System", IEEE Transaction on Power Systems, vol. 22, no. 1, pp. 493--495, Feb. 2007
 
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Hewlett-Packard Development Company, L. P. http://www.hp.com/country/us/en/prodserv/handheld.html
 
8
JacORB website, http://www.jacorb.org/
 
9
Object Management Group website, http://www.omg.org/
 
10
Lightweight Extensible Agent Platform (LEAP), http://leap.crm-paris.com/
 
11
Java Agent Development Framework (JADE), http://sharon.cselt.it/projects/jade/
 
12
L. Sun, G. Morejon, and D. A. Cartes, "Integrating Virtual Test Bed and JADE Agent platform Using CORBA for Reconfiguration of Shipboard Power Systems," IEEE Power Engineering Society General Meeting, 18--22 Jun 2006, Montreal, QC, Canada.
 
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Insignia Solutions, Inc http://www.insignia.com/
 
15
Object Management Group website, http://www.omg.org/

Collaborative Colleagues:
K. Huang: colleagues
S. K. Srivastava: colleagues
D. A. Cartes: colleagues