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Issue title: Multi-Agent Systems for Energy Management
Guest editors: Francesco Amigoni, Maria Gini and Wolfgang Ketter
Article type: Research Article
Authors: Yu, Qiulia | Schulz, Noel N.b; * | Srivastava, Anurag K.c
Affiliations: [a] California Independent System Operator (CAISO), Folsom, CA, USA | [b] Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS, USA | [c] School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA | Department of Computer Science and Engineering, University of Minnesota, 4-192 EE/CS Building, 200 Union Street S.E., Minneapolis, MN 55455-0159, USA
Correspondence: [*] Corresponding author: Noel N. Schulz, 2061 Rathbone Hall, Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506-5204, USA. Tel.: +1 785 532 5600; Fax: +1 785 532 1188; E-mail: [email protected].
Abstract: The integrated power system (IPS) within an AC-DC zonal distribution system helps to increase the ship survivability, flexibility and reliability. By reducing ship susceptibility to faults and disturbances, decentralized reconfiguration is preferable over traditional centralized reconfiguration techniques used for terrestrial power grids. This paper introduces new modified architecture of the AC-DC zonal distribution system for the IPS, and explores a novel multi-agent system (MAS) based reconfiguration strategy. The intelligent agents developed within this work can automatically change the topology of the IPS when a fault happens, utilizing the inherent distributed control feature of MAS to increase survivability and reliability of shipboard power systems. The MAS has been designed, modeled and simulated using JADE within a JAVA platform. The simulation results for the given Shipboard Power System (SPS) test case provide a proof-of-concept for the functionality of the MAS based reconfiguration strategy.
Keywords: Multi-agent control, reconfiguration, power distribution system, shipboard power system
DOI: 10.3233/ICA-2010-0352
Journal: Integrated Computer-Aided Engineering, vol. 17, no. 4, pp. 347-357, 2010
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