Multi-agent based fault location algorithm for smart distribution grid

Power grid intellectualization is an important method to promote the development of renewable energy source and implement energy conservation and emission reduction. Along with the increasing development of power electronics, IT and communication technologies, the construction of smart grid is becoming an important development direction of electric power industry. Smart distribution grid is a critical part of smart grid and fault location plays an important role in smart distribution grid, so it is very important to study fault location for smart distribution grid. Every smart distribution unit is regarded as an agent and all agents construct a multiagent system. Every agent detects synchronously the corresponding feeder information in real-time. When one feeder is fault, every agent obtains transient zero voltage and current and computes transient zero reactive power in special frequency bands. Through communication and collaboration among agents, all fault information is shared. According comparing to amplitude and direction of transient zero reactive power between neighbor nodes, the fault section is located. The simulation results show that the multi-agent based fault location system for smart distribution grid not only realizes accurate location of fault section, but also possess stronger robustness. (5 pages)

[1]  M. Shiroei,et al.  A new algorithm for fault location on transmission lines , 2009, 2009 IEEE Power & Energy Society General Meeting.

[2]  M. Pipattanasomporn,et al.  Multi-agent systems in a distributed smart grid: Design and implementation , 2009, 2009 IEEE/PES Power Systems Conference and Exposition.

[3]  A.L. Dimeas,et al.  Operation of a multiagent system for microgrid control , 2005, IEEE Transactions on Power Systems.

[4]  T. Nagata,et al.  A Multiagent Approach to Power System Restoration , 2002, IEEE Power Engineering Review.

[5]  J. R. McDonald,et al.  A multi-agent approach to power system disturbance diagnosis , 2002 .

[6]  M. Pipattanasomporn,et al.  Intelligent Distributed Autonomous Power Systems (IDAPS) , 2007, 2007 IEEE Power Engineering Society General Meeting.

[7]  J.-A. Jiang,et al.  Transmission network fault location observability with minimal PMU placement , 2006, IEEE Transactions on Power Delivery.

[8]  Nikos D. Hatziargyriou,et al.  A Multi-agent System for Microgrids , 2004, SETN.

[9]  C. W. Liu,et al.  A New Fault Locator for Three-Terminal Transmission Lines Using Two Terminal Synchronized Voltage and Current Phasors , 2001, IEEE Power Engineering Review.

[10]  Unlimited Release , 2006 .

[11]  Loredana Cristaldi,et al.  Multiagent based power systems monitoring platform: a prototype , 2003, 2003 IEEE Bologna Power Tech Conference Proceedings,.

[12]  Arthur C. Graesser,et al.  Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents , 1996, ATAL.

[13]  Ying-Hong Lin,et al.  A fault location algorithm for transmission lines with tapped leg-PMU based approach , 2001, 2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262).

[14]  H. F. Wang.  Multi-agent co-ordination for the secondary voltage control in power-system contingencies , 2001 .

[15]  Yuan Liao,et al.  Optimal Estimate of Transmission Line Fault Location Considering Measurement Errors , 2007, IEEE Transactions on Power Delivery.

[16]  James R. McDonald,et al.  Automating power system fault diagnosis through multi-agent system technology , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[17]  N.D.R. Sarma,et al.  Service restoration in naval shipboard power systems , 2004 .