住宅负荷监测中一种新的事件检测技术

Ming Liu, Jing Yong, Xiaojing Wang, Jiaming Lu
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引用次数: 9

摘要

在非侵入式负载监控过程中,第一步是尽可能准确地找到开关开/关事件。然而,由于电压波动、电气噪声等原因,记录的数据存在广泛的干扰,导致误检或事件丢失。为了解决这一问题,本文提出了一种新的事件检测技术。该技术采用中值滤波算法和所提出的纹波缓解算法,有效地去除非预期干扰,提取开关事件的真实信号。该算法易于在低成本设备上实现。实验室数据和BLUED数据测试表明,事件检测准确率超过90%。
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A new event detection technique for residential load monitoring
In the process of non-intrusive load monitoring, the first step is to find the switching on/off events as accurate as possible. However, there are extensive disturbances in the recorded data, due to the voltage fluctuations, electrical noise and etc, resulting in either false detection or event missing. To solve this problem, a new event detection technique is proposed in this paper. This technique uses median filter algorithm and the proposed ripple mitigation algorithm to effectively remove the unexpected disturbances and extract the real signal of switching on/off events. The proposed algorithms are very easy to implement in the low cost devices. The lab data and BLUED data tests show more than 90% accurate rate of event detection.
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