A Mobile Agent for Measurements in Distributed Power Electronic Systems

This paper introduces the use of a mobile agent (MA) for the purpose of power quality assessment in systems with distributed control. The MA introduced here leverages on the agent-based distributed control of the electrical loads of power electronic distribution systems. While the stationary agents autonomously control local loads and are capable of negotiations for reconfiguration purposes, they have to rely on external resources for certain types of more-sophisticated evaluations of the operating condition, such as the power quality impact of each load. The authors had already considered two other solutions based on stationary agents: The first option implied the use of one stationary monitoring agent that is capable of providing this information, and the second option implied the embedding of additional algorithms in the load agents. In this paper, a new approach based on an MA is investigated. The advantage of such solution primarily consists of its flexibility and the fact that the MA can easily be redeployed to serve various other purposes and exploit the distributed computational capability available in the systems under consideration.

[1]  F. Ponci,et al.  Multi-agent system for diagnostics, monitoring and control of electric systems , 2005, Proceedings of the 13th International Conference on, Intelligent Systems Application to Power Systems.

[2]  S.D.J. McArthur,et al.  Multi-Agent Systems for Power Engineering Applications—Part II: Technologies, Standards, and Tools for Building Multi-agent Systems , 2007, IEEE Transactions on Power Systems.

[3]  S.D.J. McArthur,et al.  Multi-Agent Systems for Power Engineering Applications—Part I: Concepts, Approaches, and Technical Challenges , 2007, IEEE Transactions on Power Systems.

[4]  Antonello Monti,et al.  A multilanguage environment for interactive simulation and development controls for power electronics , 2001, 2001 IEEE 32nd Annual Power Electronics Specialists Conference (IEEE Cat. No.01CH37230).

[5]  F. Ponci,et al.  Power-quality index negotiation criterion for power system soft reconfiguration , 2007, 2007 IEEE Instrumentation & Measurement Technology Conference IMTC 2007.

[6]  Alessandro Ferrero,et al.  A calibration procedure for a digital instrument for electric power quality measurement , 2002, IEEE Trans. Instrum. Meas..

[7]  D. Boroyevich,et al.  Ship power system control: a technology assessment , 2005, IEEE Electric Ship Technologies Symposium, 2005..

[8]  Alessandro Ferrero,et al.  A calibration procedure for a digital instrument for electric power quality measurement , 2001, IMTC 2001. Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference. Rediscovering Measurement in the Age of Informatics (Cat. No.01CH 37188).

[9]  Ferdinanda Ponci,et al.  A Mobile Agent for measurements in distributed power electronic systems , 2008, IMTC 2008.

[10]  F. Ponci,et al.  Multi Agent Systems: an Example of Dynamic Reconfiguration , 2006, 2006 IEEE Instrumentation and Measurement Technology Conference Proceedings.

[11]  Guangda Chen,et al.  PEBB Based Multifunctional Shunt Voltage Sourced Converters , 2007, IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society.

[12]  Ferdinanda Ponci,et al.  Power Quality Indexes in an Agent-based Reconfiguration Strategy for Ship Power Systems , 2006 .

[13]  Alessandro Ferrero,et al.  Harmonic power flow analysis for the measurement of the electric power quality , 1995 .

[14]  L. Cristaldi,et al.  A digital method for the identification of the source of distortion in electric power systems , 1993, 1993 IEEE Instrumentation and Measurement Technology Conference.