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A Multi-Agent Based Method for Service Restoration in Shipboard Power System

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PL
Metoda przywracania sprawności okrętowego systemu zasilania wykorzystująca system typu multi agent
Języki publikacji
EN
Abstrakty
EN
The shipboard power system (SPS) supplies energy to electric loads on ships. If the power supply of SPS is interrupted by a fault, it is important to restore the power system as soon as possible. Many approaches have been taken on the service restoration of SPS, but most of them use a centralized method and cannot meet the Navy's needs for fight-through survivability and high reliability. This paper improves the mathematical programming method proposed in the early literature and presents a multi-agent system framework performing system restoration for Navy ship. In the MAS, all agents have the ability to collect information, process data and make reasonable decisions independently according to different environment. The MAS is implemented based on Java Agent development framework (JADE). The simulation results of typical SPS service restoration cases demonstrated the feasibility and the advantages of the proposed MAS.
PL
W artykule zaproponowano ulepszoną metodę wykorzystująca system typu multi agent. Każdy z agentów ma możliwość zbierania informacji, przetwarzania danych i podejmowania decyzji w różnych okolicznościach.
Rocznik
Strony
354--359
Opis fizyczny
Bibliogr. 22 poz., rys., tab.
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Bibliografia
  • [1] K.R. Padamati, N.N. Schulz, A.K. Srivastava, “Application of genetic algorithm for reconfiguration of shipboard power system,” NAPS 2007-39th North American Power Symposium, Las Cruces, NM, USA, (2007), 159-163.
  • [2] Xiuxia Yang, Xiaofeng Zhang, Yi Zhang, Yingchun Cheng, “The study of network reconfiguration of the shipboard power system based on heuristic genetic algorithm,” in Proceedings of the CSEE, 23 (2003), No. 10, 42-46.
  • [3] Xihuai Wang, Junjun Li, Jianmei Xiao, “Network reconfiguration of the shipboard power system based on gradient discretization method of partical swarm optimization,” Transactions of China Electrotechnical Society, 22 (2007), No. 12, 140-145.
  • [4] S.K. Srivastava, K.L. Butler-Purry, N.D.R. Sarma, “Shipboard power restored for active duty,” IEEE Computer Applications in Power, 15 (2002), No. 3, 16-23.
  • [5] S. Srivastava and K.L. Butler-Purry, “Expert-system method for automatic reconfiguration for restoration of shipboard power systems,” IEE Proceedings: Generation, Transmission and Distribution, 153 (2006), No. 3, 253-260.
  • [6] K.L. Butler, N.D.R. Sarma, V.R. Prasad, “A new method of network reconfiguration for service restoration in shipboard power systems,” IEEE Transmission and Distribution Conference, New Orleans, LA, USA, April, 2 (1999), 658-662.
  • [7] K.L. Butler, N.D.R. Sarma, V. Ragendra Prasad, “Network Reconfiguration for Service Restoration in Shipboard Power Distribution Systems,” IEEE Transactions on Power Systems, 16 (2001), No. 4, 653-661.
  • [8] S.D.J. McArthur, E.M. Davidson, V.M. Catterson, and et al., “Multi-Agent systems for power engineering applications, part I: concepts, approaches, and technical challenges,” IEEE Transactions on Power Systems, 22 (2007), No. 4, 1743-1752.
  • [9] S.D.J. McArthur, E.M. Davidson, V.M. Catterson, and et al., “Multi-Agent systems for power engineering applications, part II: technologies, standards, and tools for building multi-agent systems,” IEEE Transactions on Power Systems, 22 (2007), No. 4, 1753-1759.
  • [10] S.K. Srivastava, H. Xiao, K.L. Butler-Purry, “Multi-agent system for automated service restoration of shipboard power systems,” Journal of Computer Information Systems, 44 (2003), No. 1, 119-123.
  • [11] L. Sun, D. Cartes, “A multi-Agent system for reconfiguration of shipboard power systems,” Transactions on International Association of Mechanical Engineers, 1 (2004), No. 3, 425-431.
  • [12] K.L. Butler, “Multi-agent technology for self-healing shipboard power systems,” in Proceedings of the 13th International Conference on Intelligent Systems Application to Power Systems, (2005), 207-211.
  • [13] J.M. Solanki, N.N. Schulz, Gao Wenzhong, "Reconfiguration for restoration of power systems using a multi-agent system," in Proceedings of the 37th Annual North American Power Symposium, (2005), 390-395.
  • [14] J.M. Solanki, N.N. Schulz, "Using intelligent multi-agent systems for shipboard power systems reconfiguration," in Proceedings of the 13th International Conference on Intelligent Systems Application to Power Systems, (2005), 212-214.
  • [15] G. Morejon, S. K. Srivastava, 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, (2006), 18-22.
  • [16] J.A. Momoh, “Navy ship power system restoration using multiagent approach,” IEEE Power Engineering Society General Meeting, (2006), 14-18.
  • [17] J.A. Momoh, Xia Yan, K.C. Alfred, “Dynamic reconfiguration for shipboard power system using multi-agent system,” IEEE Power and Energy Society 2008 General Meeting, (2008).
  • [18] K. Huang, D.A. Cartes, S.K. Srivastava, “A Multi-agent Based Algorithm for Mesh-structured Shipboard Power System Reconfiguration,” in Proceedings of the 13th International Conference on Intelligent Systems Application to Power Systems, (2005), 188-193.
  • [19] K. Huang, S.K. Srivastava, D.A. Cartes, and M. Sloderbeck, “Intelligent agents applied to reconfiguration of mesh structured power systems,” in International Symposium on Antennas and Propagation, (2007), 298-304.
  • [20] K. Huang, D.A. Cartes, and S.K. Srivastava, “A multiagentbased algorithm for ring-structured shipboard power system reconfiguration,” IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 37 (2007), No. 5, 1016-1021.
  • [21] H. Abbass, A. Bender, S. Gaidow, and P. Whitbread, “Computational red teaming: past, present and future,” IEEE Computational Intelligence Magazine, 6 (2011), No. 1, 30-42.
  • [22] P.G. Balaji, D. Srinivasan, “Multi-agent system in urban traffic signal control,” IEEE Computational Intelligence Magazine, 5 (2010), No. 4, 43-51.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPOK-0039-0079
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