ZigBee wireless network for transformer load monitoring and temperature sensitivity analysis

Mei-Sung Kang, Y. Ke, He-Yau Kang
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引用次数: 10

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.
ZigBee无线网络用于变压器负荷监测和温度灵敏度分析
本文采用ZigBee无线网络对变压器的负载状态进行监测,并对变压器的温度敏感性进行分析。该方法可以有效地监测变压器的运行状态,从而通过过载预警系统保护变压器免于过载烧毁。该方法适用于多个使用ZigBee无线传感器网络的地下配电变压器,具有功耗小、通信质量好等优点。变压器负载电流和温度通过温度电流传感接口采集,并通过ZigBee无线网络传输到ZigBee无线网络控制中心。编制了变压器负荷数据库。用统计回归方法确定了负载电流与温度之间的关系。建立了变压器负荷电流与温度的回归模型,用于变压器负荷的温度敏感性分析。导出温度升高后的变压器负载电流变化,构建过载预警机制,便于维护人员采取必要措施,避免供电中断,提高电能质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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