Optimal Energy Management of Two Stage Energy Distribution Systems Using Clustering Algorithm

被引：0
|
作者：
Pandiyan, A. Y. S. [1 ]
Kiziroglou, M. E. [1 ]
Boyle, D. E. [2 ]
Wright, S. W. [1 ]
Yeatman, E. M. [1 ]
机构：
[1] Imperial Coll London, Dept Elect & Elect Engn, London, England
[2] Imperial Coll London, Dyson Sch Design Engn, London, England
来源：
2019 19TH INTERNATIONAL CONFERENCE ON MICRO AND NANOTECHNOLOGY FOR POWER GENERATION AND ENERGY CONVERSION APPLICATIONS (POWERMEMS) | 2020年
基金：
欧盟地平线“2020”;
关键词：
D O I：
10.1109/PowerMEMS49317.2019.82063210088
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
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.
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页数：4
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