Imperial College London
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DrStevenWright

Faculty of Engineering, Department of Electrical and Electronic Engineering

Senior Teaching Fellow
 
 
 
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Contact

 

+44 (0)20 7594 6206s.wright02

 
 
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Location

 

1008BElectrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Pandiyan:2020:10.1109/PowerMEMS49317.2019.82063210088,
author = {Pandiyan, AYS and Kiziroglou, ME and Boyle, DE and Wright, SW and Yeatman, EM},
doi = {10.1109/PowerMEMS49317.2019.82063210088},
pages = {1--4},
publisher = {IEEE},
title = {Optimal energy management of two stage energy distribution systems using clustering algorithm},
url = {http://dx.doi.org/10.1109/PowerMEMS49317.2019.82063210088},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Motivated by recent developments in Wireless Power Transfer (WPT), this work presents a solution for the optimization of a two-stage energy distribution system combining inductive and acoustic power transfer using a clustering algorithm. A network of immobile wireless sensors equipped with acoustic transceivers, storage capacitors and with known cartesian coordinates in a 2D plane is considered. A power delivery vehicle (PDV) with finite energy storage capacity is used to recharge a sensor node's supercapacitor which then transmits power to neighboring sensors acoustically within range. This work aims to find an optimal charging route for the PDV. The proposed algorithm is a combination of cluster analysis and breadth-first search. A theoretical study was performed, and the simulation results obtained were studied for the long-term failure probability for the proposed energy scheme.
AU  - Pandiyan,AYS
AU  - Kiziroglou,ME
AU  - Boyle,DE
AU  - Wright,SW
AU  - Yeatman,EM
DO  - 10.1109/PowerMEMS49317.2019.82063210088
EP  - 4
PB  - IEEE
PY  - 2020///
SP  - 1
TI  - Optimal energy management of two stage energy distribution systems using clustering algorithm
UR  - http://dx.doi.org/10.1109/PowerMEMS49317.2019.82063210088
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000576757900090&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://ieeexplore.ieee.org/document/9080338
UR  - http://hdl.handle.net/10044/1/94206
ER  -
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