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A novel distributed algorithm for power loss minimizing in Smart Grid

Wei,C, Fadlullah,ZM, Kato,N and Stojmenovic,I 2014, A novel distributed algorithm for power loss minimizing in Smart Grid, in SmartGridComm 2014 : Proceedings of the 2014 IEEE International Conference on Smart Grid Communications, IEEE, Piscataway, N.J., pp. 290-295, doi: 10.1109/SmartGridComm.2014.7007661.

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Title A novel distributed algorithm for power loss minimizing in Smart Grid
Author(s) Wei,C
Fadlullah,ZM
Kato,N
Stojmenovic,I
Conference name Smart Grid Communications. Conference (2014 : Venice, Italy)
Conference location Venice, Italy
Conference dates 2014/11/3 - 2014/11/6
Title of proceedings SmartGridComm 2014 : Proceedings of the 2014 IEEE International Conference on Smart Grid Communications
Editor(s) Unknown
Publication date 2014
Conference series IEEE International Conference on Smart Grid Communications
Start page 290
End page 295
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Distributed algorithm
micro grid
smart grid
Summary Because power generation of renewable resources are unstable and demands of the customers are time-varying, the supply power and demands of the customers are always unequal. To meet the demands of the customers, power is transmitted from primary power generation to secondary power generation. It will cause high power loss. To solve this problem, a distributed algorithm is proposed in this paper. By using the algorithm, the micro-grids are able to exchange power with their neighbors so as to minimize the total power losses of the smart grid. Moreover, communication overhead (bandwidth) is reduced, comparing with centralized algorithm. Through computer simulations, we demonstrate that the proposed algorithm can lead to near-optimal result for alleviating the average power loss per micro-grid and reduce the communication overhead significantly in contrast with the centralized approach.
ISBN 9781479949342
Language eng
DOI 10.1109/SmartGridComm.2014.7007661
Field of Research 090608 Renewable Power and Energy Systems Engineering (excl Solar Cells)
080110 Simulation and Modelling
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2014, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30072752

Document type: Conference Paper
Collection: School of Information Technology
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