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Citation:
　Hai Lan,Yun-yun Xiao and Li-jun Zhang.Multi-agent System Optimized Reconfiguration of Shipboard Power System[J].Journal of Marine Science and Application,2010,(3):334-339.[doi:10.1007/s11804-010-1017-2]
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Multi-agent System Optimized Reconfiguration of Shipboard Power System

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Title:
Multi-agent System Optimized Reconfiguration of Shipboard Power System
Author(s):
Hai Lan;  Yun-yun Xiao and Li-jun Zhang
Affilations:
Author(s):
Hai Lan;  Yun-yun Xiao and Li-jun Zhang
College of Automation, Harbin Engineering University, Harbin 150001, China
Keywords:
shipboard power system;  multi-agent system;  network reconfiguration;  environment priority agent algorithm
分类号:
-
DOI:
10.1007/s11804-010-1017-2
Abstract:
Reconfigurability of the electrical network in a shipboard power system (SPS) after its failure is central to the restoration of power supply and improves survivability of an SPS. The navigational process creates a sequence of different operating conditions. The priority of some loads differs in changing operating conditions. After analyzing characteristics of typical SPS, a model was developed used a grade Ⅲ switchboard and an environmental prioritizing agent (EPA) algorithm. This algorithm was chosen as it is logically and physically decentralized as well as multi-agent oriented. The EPA algorithm was used to decide on the dynamic load priority, then it selected the means to best meet the maximum power supply load. The simulation results showed that higher priority loads were the first to be restored. The system satisfied all necessary constraints, demonstrating the effectiveness and validity of the proposed method.

References:

Butler KL, Sarma NDR, Ragendra PV (2001). Network reconfiguration for service restoration in shipboard power distribution system. IEEE Transaction on Power System, 16(4), 653-661.
Curcic S, Ozveren CS, Lo KL (1997). Computer based strategy for the restoration problem in electric power distribution systems. IEE Proceedings on Generation, Transmission and Distribution, 144(5), 389-398.
Huang K, Srivastava SK, Cartes DA (2007). Solving information accumulation problem in mesh structured agent system. IEEE Transactions on Power Systems, 20(1), 493-495.
Huang K, Sanjeev KS, David A (2007). Agent solutions for navy shipboard power systems. 2007 IEEE International Conference on System of Systems Engineering, San Antonio, USA, 1-6.
Huang K (2007). Shipboard power system reconfiguration using multiagent system. Ph.D. thesis, Florida States University, USA, 28-80.
Michael W (2002). An introduction to multi agent systems. John Wiley & Sons Inc., New York, 25-115.
Michael W, Jennings N (1995). Intelligent agents: theory and practice. The Knowledge Engineering Review, 10(2), 115-152.
Momoh JA, Yan Xia, Alfred KC (2008). Dynamic reconfiguration for shipboard power system using multi-agent system. Power and Energy Society General Meeting Conversion and Delivery of Electrical Energy in the 21st Century, Washington DC, 1-4.
Nagata T, Sasaki H (2002). A multi-agent approach to power system restoration. IEEE Transactions on Power Systems, 17(2), 457-462.
Sribastava SK, Butler-Burry KL (2006). Expert-system method for automatic reconfiguration for restoration of shipboard power systems. IEE Proceedings-Generation, Transmission and Distribution, 153(3), 253-260.
Sribastava SK, Butler-Burry KL, Sarma NDR (2002). Shipboard power restored for active duty. IEE Computer Application in Power, 15(3), 16-23.
Wang Huawen (2004). Ship power system and automatic devices. Science and Technology Press, Beijing, 30-75. (in Chinese)
Yang Xiuxia, Zhang Xiaofeng, Zhang Yi, Cheng yingchun (2003). The study of network reconfiguration of the shipboard power system based on heuristic genetic algorithm. Proceedings of the CSEE, 23(10), 42-46. (in Chinese)

Memo

Memo:
Supported by the National Natural Science Foundation of China under Grant No.60704004; the Fundamental Research Funds for the Central University under Grant No. HEUCFT1005.
Last Update: 2011-06-22