DocumentCode :
3601912
Title :
A Decentralized Multiagent System Approach for Service Restoration Using DG Islanding
Author :
Sharma, Anurag ; Srinivasan, Dipti ; Trivedi, Anupam
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
Volume :
6
Issue :
6
fYear :
2015
Firstpage :
2784
Lastpage :
2793
Abstract :
This paper proposes a decentralized multiagent system (MAS) approach for service restoration using controlled distributed generator (DG) islanding. Furthermore, it investigates the impacts of vehicle-to-grid (V2G) facility of the electric vehicles (EVs) for service restoration. Service restoration is formulated as a multiobjective optimization problem considering maximization of priority load restored and minimization of switching operations as the multiple objectives and solved using the proposed decentralized MAS approach. Extensive case studies are conducted on 38, 69, and 119 bus distribution systems, and the following advantages of the proposed MAS approach are observed: 1) flexibility-to perform under different DG and EV penetration levels; 2) scalability-to restore service for different size test systems, small as well as large; and 3) robustness-ability to perform efficiently for both single as well as multiple-fault situations. The simulation results also highlight the benefits of V2G feature of EVs for service restoration.
Keywords :
distributed power generation; electric vehicles; multi-agent systems; power distribution faults; power engineering computing; power system restoration; DG islanding; EV penetration; MAS approach; V2G facility; bus distribution systems; controlled distributed generator islanding; decentralized multiagent system approach; electric vehicles; multiobjective optimization problem; service restoration; switching operations; vehicle-to-grid facility; Distributed power generation; Electric vehicles; Islanding; Multi-agent systems; Distributed generation (DG); electric vehicles (EVs); islanding; multiagent system (MAS); service restoration; smart grid; vehicle-to-grid (V2G);
fLanguage :
English
Journal_Title :
Smart Grid, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3053
Type :
jour
DOI :
10.1109/TSG.2015.2418334
Filename :
7088641
Link To Document :
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