Power Quality measurement IoT Device

配电系统的停电是配电行业关注的主要问题之一，因此，开发能够预测维护周期并防止不必要的维护的解决方案对于降低停电成本和提高系统可靠性至关重要。通过计算总谐波畸变率（THD）来监测电力设备的效率是防止停电损失的方法之一。这伊萨一种测量，表明有多少失真的电压或电流是由于谐波的信号。获取大量的电压、电流和总谐波失真数据对于电网健康分析和故障调试至关重要。谢里丹学院将与行业合作伙伴合作，开发和测试一种基于物联网云的设备，以监测电力线路故障，并防止额外的维护费用。

Power outages in power distribution systems are one of the main concerns of power distribution industries.Therefore, developing solutions that can predict the maintenance periods and prevent unwanted maintenance iscrucial in decreasing outage costs and improving system reliability. One of the methods to prevent outage costsis to monitor the efficiency of power equipment through calculating Total Harmonic Distortion (THD). This isa measurement that indicates how much of the distortion of the voltage or current is due to harmonics in thesignal. Having mass data of voltage, current and THD is crucial for the analysis of grid health and debuggingfailures. Sheridan College will collaborate with the industry partner to develop and test an IoT cloud-baseddevice to monitor malfunctions in power lines and prevent extra maintenance expenses.