Performance Evaluation of Multiagent Systems for Navy Shipboard Power System Restoration

A multiagent-based feeder automation system is developed for the service restoration of power systems in a navy ship after fault contingencies. In the system, power-electronic-building-block agents of the multiagent system (MAS) are used to derive the proper restoration plan after the faulted location is identified and isolated. To assure that the restoration plan complies with operation regulation, heuristic rules based on standard operation procedures of the shipboard power system (SPS) are included in the best first search of the MAS. Two control schemes for SPS restoration are investigated, and their performances are evaluated and compared using a discrete event simulation technique with respect to restoration time. For fault contingency when the capacity reserves of supporting feeders are not enough to cover the fault restoration, the load shedding strategy is derived for the MAS to restore service power to as many key loads as possible. A navy SPS with 72 feeders is selected for computer simulation to demonstrate the effectiveness of the proposed methodology. The study concludes that, to cover feeder automation functions, a MAS with distributed processing capability provides better reliability performance than the centralized control.

[1]  Kai Huang,et al.  A Multiagent-Based Algorithm for Ring-Structured Shipboard Power System Reconfiguration , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[2]  Jian Wu,et al.  The Impact of Standardized Models, Programming Interfaces, and Protocols on a Shipboard Power System , 2008, IEEE Transactions on Industry Applications.

[3]  S.K. Srivastava,et al.  A multi-agent based algorithm for mesh-structured shipboard power system reconfiguration , 2005, Proceedings of the 13th International Conference on, Intelligent Systems Application to Power Systems.

[4]  S. D. Sudhoff Currents of Change , 2011, IEEE Power and Energy Magazine.

[5]  J.A. Momoh,et al.  Navy ship power system restoration using multi-agent approach , 2006, 2006 IEEE Power Engineering Society General Meeting.

[6]  R. Cuzner,et al.  DC zonal electrical system fault isolation and reconfiguration , 2009, 2009 IEEE Electric Ship Technologies Symposium.

[7]  Liu Guohai,et al.  A novel navy ship power system restoration using multi-agent approach , 2011, Proceedings of 2011 International Conference on Electronics and Optoelectronics.

[8]  Chung-Sheng Li,et al.  Fault detection, isolation and restoration using a multiagent-based Distribution Automation System , 2009, 2009 4th IEEE Conference on Industrial Electronics and Applications.

[9]  Y. Khersonsky,et al.  Power electronics and future marine electrical systems , 2006, IEEE Transactions on Industry Applications.

[10]  F. Ponci,et al.  The incremental design process for power electronic building blocks , 2006, 2006 IEEE Power Engineering Society General Meeting.

[11]  T. Y. Hsiao,et al.  Simulation Study of Internet-Based Inter-Control-Center Data Exchange for Complete Network Modeling , 2002, IEEE Power Engineering Review.

[12]  Karen L. Butler-Purry,et al.  Probability-based predictive self-healing reconfiguration for shipboard power systems , 2007 .

[13]  Hendrik Neumann,et al.  Currents of Changes , 2011 .

[14]  P. Mitra,et al.  Implementation of an Intelligent Reconfiguration Algorithm for an Electric Ship's Power System , 2011, IEEE Transactions on Industry Applications.

[15]  K.P. Logan,et al.  Intelligent Diagnostic Requirements of Future All-Electric Ship Integrated Power System , 2005, IEEE Transactions on Industry Applications.

[16]  Ganesh K. Venayagamoorthy,et al.  Implementation of an Intelligent Reconfiguration Algorithm for an Electric Ship Power System , 2009, 2009 IEEE Industry Applications Society Annual Meeting.

[17]  N.N. Schulz,et al.  A Multi-Agent Solution to Distribution Systems Restoration , 2007, IEEE Transactions on Power Systems.

[18]  Yuri Khersonsky,et al.  IEEE Electric Ship Technologies Initiative , 2011, IEEE Industry Applications Magazine.