Paper Info
Title
ZigBee wireless network for transformer load monitoring and temperature sensitivity analysis
Abstract
This paper applies a ZigBee wireless network to monitor load conditions of transformers and analyze their temperature sensitivity. The developed approach can effectively monitor the operating states of transformers, thereby protecting transformers from burning by overloading via an early overloading warning system. The proposed method is suitable for many underground distribution transformers using a ZigBee wireless sensor network with minimal power consumption and good communication quality. Transformer load current and temperature are captured via a temperature and current sensing interface and transmitted to the ZigBee wireless network control center via the ZigBee wireless network. A transformer load database is complied. The relationship between load current and temperature is determined using a statistical regression method. The regression model of transformer load current and temperature is derived for temperature sensitivity analysis of transformer loading. The transformer load current variation following a temperature increase is then derived to construct an early warning mechanism for overloading, such that maintenance personnel can take the necessary actions to avoid power interruption and improve power quality.
Year
DOI
Venue
2011
10.1109/IAS.2011.6074398
IAS Annual Meeting
Keywords
Field
DocType
ZigBee wireless network,regression analysis,temperature sensitivity analysis
Warning system,Automotive engineering,Distribution transformer,Zigbee wireless network,Transformer,Electronic engineering,Engineering,Temperature measurement,Wireless sensor network,Power consumption,Power quality
Conference
ISSN
ISBN
Citations 
0197-2618
978-1-4244-9498-9
1
PageRank 
References 
Authors
0.37
3
3
Name
Order
Citations
PageRank
Mei-Sung Kang111.04
Yu-Lung Ke2276.67
He-Yau Kang323417.19