DocumentCode
3763288
Title
A novel embedded system-based backbone communication network for smart grid
Author
Cheng-Yue Liu;Xiang-Yao Zheng;Chien-Hao Wang;Chih-Hao Syue;Ching-Ya Tseng;Yeun-Chung Lee;Joe-Air Jiang;Fang-Cheng Chou
Author_Institution
Department of Bio-Industrial Mechatronics Engineering, National Taiwan University, No. 1, Sec.4, Roosevelt Road, Taipei 106, Taiwan
fYear
2015
Firstpage
474
Lastpage
481
Abstract
A smart grid is a modernized power grid. Many novel technologies have been used to smart grids. One of the technologies is the wireless sensor network. In this study, a novel backbone communication network is proposed, which combines two different wireless technologies (the ZigBee and Wi-Fi protocol), to form a communication network between the transmission towers in a power grid. The gateway in the network consists of an embedded system and an AP with long-range communication capability. The embedded system is used as a computing platform to deal with sensor readings transmitted through the ZigBee protocol and routing data transmitted between towers via long-range Wi-Fi. Finally, the gateways relay the readings to a back-end server in a monitoring center (e.g. substation, ADCC, and CDCC) through the backbone communication network. Furthermore, to manage all the gateways, a routing algorithm for the backbone communication network is designed to ensure the reliability of data transmission in this study. Simulation is done to test the effectiveness and reliability of the routing algorithm. Although other papers have shown architectures and algorithms for smart grid, they are not proper for power grid in Taiwan due to the distribution of transmission lines. This study proposes an embedded system-based backbone communication network for power grid in Taiwan.
Keywords
"Logic gates","IEEE 802.11 Standard","Reliability","Monitoring","Cryptography","Sensors","Wireless sensor networks"
Publisher
ieee
Conference_Titel
Sensing Technology (ICST), 2015 9th International Conference on
Electronic_ISBN
2156-8073
Type
conf
DOI
10.1109/ICSensT.2015.7438445
Filename
7438445
Link To Document