Monitoring Time-Varying Residential Load Operation Modes: An Efficient Signal Disaggregation Approach
Monitoring Time-Varying Residential Load Operation Modes: An Efficient Signal Disaggregation Approach
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监控随时间变化的住宅负载运行模式：一种有效的信号分解方法
DOI：
10.1002/tee.22767
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发表时间：
2019
影响因子：
1
通讯作者：
Junhua Li
中科院分区：
文献类型：
--
作者：
Li Zhu;Changle Zhou;Zhaoyang Qu;Junhua Li
人们越来越关注测量住宅基础设施，以获得关于其功耗的更多描述性信息，从而可以优化消费习惯并降低成本。本研究旨在发展一种有效的信号分解方法与功能的负荷曲线作为衡量非侵入性住宅负荷运行模式。该数学模型是基于最优拟合思想建立的。我们改进的混合蛙跳优化算法（SFLA）与头脑风暴机制，以解决多极值问题。结果表明，所提出的方法能够（i）识别家电的工作模式，包括长期运行的启动时间和运行持续时间，（ii）检测同一类型的少数家电内的情况，（iii）分解家用电器的瞬时打开状态。因此，我们的方法不仅可以克服传统的非侵入式负荷监测的局限性，而且可以无缝地应用到当前的电网。最后，我们讨论了潜在的应用领域。本研究的成果将促进智能电网的发展。© 2018日本电气工程师协会。由John Wiley & Sons公司出版
There is growing interest in measuring residential infrastructures for obtaining more descriptive information about their power consumption so that the consumption custom can be optimized and the cost reduced. This study aims to develop an efficient signal disaggregation method associated with features of load curves as a way of measuring nonintrusively residential load operation modes. The mathematical model is built based on an optimal fitting idea. We modify the shuffled frog leaping optimization algorithm (SFLA) with brain storming mechanism to solve the multi‐extremum problem. The results suggest that the proposed method is able to (i) identify the working modes of appliances including the onset time and operation duration for long‐term operation, (ii) detect the case within a few appliances of the same type, (iii) decompose the instantaneous open state of domestic appliances. Therefore, our method can not only overcome the traditional limitations of nonintrusive load monitoring but also be seamlessly applied to the current electric grid. Finally, we discuss potential application areas. The outcomes from this study would promote the progression of the smart grid. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.