基于ZigBee的智能配电变压器重过载监测方法

Heavy overload monitoring method of intelligent distribution transformer based on ZigBee

为准确监测智能配电变压器是否存在重过载问题,提出基于ZigBee的智能配电变压器重过载监测方法。构建基于ZigBee网络的智能配电变压器负荷监测模型,模型中使用ZigBee网络作为通信网络,获取负荷信号,实现重过载持续监测,并通过混合路由算法实现ZigBee网络能耗均衡;针对所获取的负荷信号,通过经验模态分解方法,挖掘负荷信号的数据特征,将此特征作为基于BP神经网络的配电变压器重过载识别方法的识别样本,实现智能配电变压器重过载监测。实验结果表明,该方法可以准确监测智能配电变压器是否存在重过载问题,且ZigBee网络的寿命较长。

To accurately monitor the presence of heavy overload in intelligent distribution transformers,a ZigBee based heavy overload monitoring method for intelligent distribution transformers is proposed,and an intelligent distribution transformer load monitoring model based on ZigBee network is built.In the model,ZigBee network is used as the communication network to obtain load signals,achieve continuous monitoring of heavy overloads,and achieve energy balance of ZigBee network through hybrid routing algorithm;Based on the obtained load signal,the empirical mode decomposition method is used to mine the data features of the load signal,and this feature is used as the identification sample for the distribution transformer overload recognition method to achieve intelligent distribution transformer overload monitoring.The results indicate that the method can accurately monitor the presence of heavy overload in intelligent distribution transformers,and the ZigBee network has a longer lifespan.