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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: Solanki, Jignesh M.a | Solanki, Sarika Khushalania | Schulz, Noelb; *
Affiliations: [a] Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA | [b] Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS, 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: Prof. Noel Schulz, 2061 Rathbone Hall, Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506-5204, USA. Tel.: +1 785 532 5600; E-mail: [email protected].
Abstract: Restoration involves supplying the loads that lose power in the process of fault isolation. This process entails the development of a plan consisting of opening or closing of switches, the process called reconfiguration. Existing methods, based on centralized restoration schemes, which require a powerful central computer, may lead to a single point of failure. This paper proposes a decentralized scheme based on agents. The large-scale introduction of Distributed Generation (DG) in distribution systems has made it increasingly necessary to develop restoration schemes that consider DG. When a portion of the system isolated from the utility is fed by DGs, an island occurs. Load shedding may be the only option to maintain the island when conditions are so severe they require correction by restoration schemes. In this paper, a fast and efficient service restoration with load shedding method has been designed for land-based and ship systems, considering priority of customers. The load-shedding algorithm with the service restoration algorithm performs load shedding and restores the loads for systems with and without DG.
Keywords: Restoration, distributed generator, island, load-shedding, multi-agent systems
DOI: 10.3233/ICA-2010-0351
Journal: Integrated Computer-Aided Engineering, vol. 17, no. 4, pp. 331-346, 2010
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