An Architecture of a Multi-Agent System for SCADA - Dealing With Uncertainty, Plans and Actions

Sarah Calderwood, Weiru Liu, Jun Hong, Michael Loughlin

2013

Abstract

This paper presents a multi-agent system approach to address the difficulties encountered in traditional SCADA systems deployed in critical environments such as electrical power generation, transmission and distribution. The approach models uncertainty and combines multiple sources of uncertain information to deliver robust plan selection. We examine the approach in the context of a simplified power supply/demand scenario using a residential grid connected solar system and consider the challenges of modelling and reasoning with uncertain sensor information in this environment. We discuss examples of plans and actions required for sensing, establish and discuss the effect of uncertainty on such systems and investigate different uncertainty theories and how they can fuse uncertain information from multiple sources for effective decision making in such a complex system.

References

  1. Arcos, J. L., Esteva, M., Noriega, P., Rodrguez-Aguilar, J. A. and Sierra, C. (2005). Engineering open environments with electronic institutions. In Engineering applications of artificial intelligence. 18(2), 191-204.
  2. Arghira, N., Hossu, D., Fagaraan, I., Iliesc, S.S. and Costianu, D.R. (2011). Modern scada philosophy in power system operation A survey. In UPB Scientific Bulletin, Series C: Electrical Engineering. 73(2), pp. 153-166.
  3. Bordini, R. H., Hubner, J. F., Wooldridge, M. (2007). Programming Multi-Agent Systems in AgentSpeak using Jason. John Wiley and Sons.
  4. Daneels, C. and Salter, W. (1999). What is SCADA? In International Conference on Accelerator and Large Experimental Physics Control Systems. Italy, 339-343.
  5. Dubois, D. and Prade, H. (2011). On possibility theory, formal concept analysis and granulation: Survey. In Applied and Computational Mathematics. 10(1), pp. 10-19.
  6. Graham, I. and Jones, P. (1988). Expert systems: knowledge, uncertainty and decision. Chapman and Hall.
  7. Halpern, J. (2003). Reasoning about uncertainty. The MIT Press, Cambridge, Massachusetts, London, England.
  8. Hunter, A. and Liu, W. (2006). Fusion rules for merging uncertain information. In Information Fusion Journal. 7(1):97-134.
  9. Jennings, N. R., Corera, J. M. and Laresgoiti, I. (1995). Developing industrial multi-agent systems. In 1st Int. Conf. on Multi-Agent Systems (ICMAS 7895). 423-430.
  10. Jennings, N. and Wooldridge, M. (1998). Agent Technology: Foundations, Applications, and Markets. Springer, Berlin.
  11. McArthur, S. D. J., Davidson, E. M., Catterson, V.M., Dimeas, A. L., Hatziargyriou, N. D., Ponci, F. and Funabashi, T. (2007). Multi-agent systems for power engineering applications - Part I: Concepts, approaches, and technical challenges. In IEEE Transactions on Power Systems. 22(4), pp. 1743-1752.
  12. Pipattanasomporn, M., Feroze, H. and Rahman, S. (2009). Multi-agent systems in a distributed smart grid: Design and implementation. In IEEE/PES Power Systems Conference and Exposition. PSCE 2009.
  13. Rao, A. (1996). Agentspeak(l): BDI agents speak out in a logical computable language. In Agents Breaking Away. Springer.
  14. Shafer, G. (1976). A Mathematical Theory of Evidence. Theory of Evidence. Princeton University Press.
  15. Smets, P. (2004). Decision making in the TBM: the necessity of the pignistic transformation. In International Journal of Approximate Reasoning. 133-147.
  16. Sobh, T. and Mahmood, A. (2002). Recovering structure uncertainties from noisy sense data. In Computers and Electrical Engineering. IEEE/PES Power Systems Conference and Exposition. 28(2), pp. 127-141.
  17. Wooldridge, M. (2002). An Introduction to Multiagent Systems. Wiley, New York.
  18. Yang, Z., Ma, C., Feng, J. Q., Wu, Q. H., Mann, S. and Fitch J. (2006). A multi-agent framework for power system automation. In International Journal of Innovations in Energy Systems and Power. Vol. 1, no. 1.
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Paper Citation


in Harvard Style

Calderwood S., Liu W., Hong J. and Loughlin M. (2013). An Architecture of a Multi-Agent System for SCADA - Dealing With Uncertainty, Plans and Actions . In Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8565-70-9, pages 300-306. DOI: 10.5220/0004594603000306


in Bibtex Style

@conference{icinco13,
author={Sarah Calderwood and Weiru Liu and Jun Hong and Michael Loughlin},
title={An Architecture of a Multi-Agent System for SCADA - Dealing With Uncertainty, Plans and Actions},
booktitle={Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2013},
pages={300-306},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004594603000306},
isbn={978-989-8565-70-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - An Architecture of a Multi-Agent System for SCADA - Dealing With Uncertainty, Plans and Actions
SN - 978-989-8565-70-9
AU - Calderwood S.
AU - Liu W.
AU - Hong J.
AU - Loughlin M.
PY - 2013
SP - 300
EP - 306
DO - 10.5220/0004594603000306