Application of ZigBee Wireless Network to Transformer Load Monitoring and Temperature Sensitivity Analysis

碩士 === 高苑科技大學 === 電機工程研究所 === 97 === This thesis applies a ZigBee wireless network to monitor transformer load, expected to be immediately effective monitoring the state of transformer operation. Early alarming when a timely detecting and avoid the operation of the transformer burned due to overload...

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Bibliographic Details
Main Authors: Chia-Jung Lin, 林嘉榮
Other Authors: Meei-Song Kang
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/70222518864963872820
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Summary:碩士 === 高苑科技大學 === 電機工程研究所 === 97 === This thesis applies a ZigBee wireless network to monitor transformer load, expected to be immediately effective monitoring the state of transformer operation. Early alarming when a timely detecting and avoid the operation of the transformer burned due to overload. By considering ZigBee wireless sensor networks with minimal power consumption and good communication quality, suitable for a wide range devices on a large number of underground distribution transformers. By temperature and current sensing interface, capture transformer load current and temperature which are transmitted to center of transformer load monitoring and control system through the ZigBee wireless network communication. The transformer loading database is built via the man-machine interface operation. A statistical regression analysis is used to conduct the transformer load current and temperature of the relationship and to derive transformer load current and temperature of the regression model. The temperature sensitivity analysis of the transformer load is solved to estimate the transformer load current variety after the temperature rise. The early alarming mechanism of the transformer overload due to temperature rise can support operator’s load shedding process and avoid power interruption to improve power quality.