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文章摘要
基于复合滑动窗的CUSUM暂态事件检测算法
CUSUM Transient Event Detection Algorithm Based on Compound Sliding Window
Received:May 26, 2018  Revised:May 26, 2018
DOI:10.19753/j.issn1001-1390.2019.017.003
中文关键词: 非侵入式负荷监测  暂态事件检测  高斯函数  Sigmoid函数
英文关键词: non-intrusive load monitoring, transient event detection, gaussian function, sigmoid function
基金项目:
Author NameAffiliationE-mail
Shi Shuaibin State Grid Jiyuan Power Supply Company jaqen16@foxmail.com 
Zhang Heng* School of Power and Mechanical Engineering, Wuhan University jaqen16@foxmail.com 
Deng Shicong State Grid Jiyuan Power Supply Company jaqen16@foxmail.com 
Zhou Dongguo School of Power and Mechanical Engineering, Wuhan University jaqen16@foxmail.com 
Zhou Hong School of Power and Mechanical Engineering, Wuhan University jaqen16@foxmail.com 
Hu Wenshan School of Power and Mechanical Engineering, Wuhan University jaqen16@foxmail.com 
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中文摘要:
      在非侵入式负荷监测系统中,负荷事件检测是其中最为关键的一部分。然而一般负荷事件检测方法极易存在漏检等情况,特别是对于缓慢的负荷爬升现象不够敏感,且大多仅限于检测事件开始时刻,未涉及暂态事件起止过程的记录。为此,本论文提出了一种基于复合滑动窗的CUSUM暂态事件检测算法,通过变权重滑动窗来累积采样点与均值的偏差,记录突变起始点和突变结束后的采样点,通过实际的案例验证了算法的有效性。该算法不仅能够准确检测到传统算法易忽略的具有爬坡特性的暂态事件,还能够对完整的投切过程进行有效记录,从而有助于对暂态事件进行分析处理。
英文摘要:
      Load event detection is the most critical part of non-intrusive load monitoring systems. However, the general load event detection method is prone to missed detection, especially for slow load climb phenomenon, and is mostly limited to detecting the start time of the event, and does not involve the recording of the start and end process of the transient event. For this reason, this paper proposes a CUSUM transient event detection algorithm based on composite sliding window. Through the variable weight sliding window, the cumulative sample point deviation from the mean value is recorded, and the mutation start point and sampling point after the end of the mutation are recorded. The case validates the effectiveness of the algorithm. The algorithm not only can accurately detect the transient events with climbing characteristics that are easily overlooked by traditional algorithms, but also can effectively record the complete switching process, which helps to analyze and process transient events.
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