文章摘要
燕续峰,翟少鹏,何光宇.基于时间概率分布与电器组合超状态的非侵入式负荷分解[J].电力系统自动化. DOI: 10.7500/AEPS20180322009.
YAN Xufeng,ZHAI Shaopeng,HE Guangyu.Non-Intrusive Load Disaggregation Based on the Appliances Time Probability Distributions and the Appliances Super State[J].Automation of Electric Power Systems. DOI: 10.7500/AEPS20180322009.
基于时间概率分布与电器组合超状态的非侵入式负荷分解
Non-Intrusive Load Disaggregation Based on the Appliances Time Probability Distributions and the Appliances Super State
DOI:10.7500/AEPS20180322009
关键词: 非侵入式负荷分解  时间概率分布  超状态  S超状态匹配
KeyWords: 
上网日期:2018-09-12
基金项目:
作者单位E-mail
燕续峰 上海交通大学电子信息与电气工程学院 5943abc@163.com 
翟少鹏 上海交通大学电子信息与电气工程学院 zsp1197@163.com 
何光宇 上海交通大学电子信息与电气工程学院 hhhxxjj@163.com 
摘要:
      非侵入式负荷监测是智能用电网络中的重要技术,为研究了非侵入监测下电器的用电情况,提出了一种基于电器时间概率分布和电器组合超状态匹配的负荷分解方法。首先对电器的功率数据进行状态提取,并利用数据的时间信息提取每个状态的时间概率分布。根据电器的工作状态组合构建超状态,利用家庭历史用电数据缩减超状态空间,并针对超状态功率重叠问题对其进行聚类得到S超状态。在负荷分解阶段利用S超状态匹配方法对非侵入式数据分段,并利用时间概率最大似然估计分解结果。最后,通过数据集分解结果验证了该算法的有效性。#$NL关键词:非侵入式负荷分解;时间概率分布;超状态;S超状态匹配
Abstract:
      The Non-Intrusive Load Monitoring technique plays an important role in the intelligent electric appliance network. In order to analyze the household appliances power consumption under non-intrusive load monitoring, a disaggregation algorithm based on time probability distributions of appliances and super states matching is proposed. First, the states of each appliance are extracted based on its power data and the time probability distributions of each state are extracted using the time information. The super states are constructed based on the state combinations of electrical appliances. The space of super states is reduced by considering households historical data. The S-super states are obtained by clustering the super states to reduce the impact of power overlap. At the load disaggregation stage, non-intrusive power data is segmented using the S-state matching method. The optimal solution is found using the maximum likelihood of the time probability. Finally, the effectiveness of the algorithm is verified by the dataset testing results.#$NLKeywords: non-intrusive load disaggregation; time probability distribution; super state; S-super state matching
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