| 基于模板滤波的居民负荷非侵入式快速辨识算法 |
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| 引用本文： | 武昕,祁兵,韩璐,王震,董超.基于模板滤波的居民负荷非侵入式快速辨识算法[J].电力系统自动化,2017,41(2):135-141. |
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| 作者姓名： | 武昕 祁兵 韩璐 王震 董超 |
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| 作者单位： | 华北电力大学电气与电子工程学院, 北京市 102206,华北电力大学电气与电子工程学院, 北京市 102206,华北电力大学电气与电子工程学院, 北京市 102206,华北电力大学电气与电子工程学院, 北京市 102206,华北电力大学电气与电子工程学院, 北京市 102206 |
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| 基金项目： | 国家高技术研究发展计划(863计划)资助项目(2015AA050203);中央高校基本科研业务费专项资金资助项目(2016MS13) |
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| 摘 要： | 以电流信号的频域分析为基础,结合非侵入监测负荷运行的电流模型,利用单独作用时电流信号的频谱分量会完整包含于混合电流频谱中,提出一种基于模板滤波的居民负荷非侵入式快速辨识算法。通过先验方式获取用电网络各负荷的特征电流形成特征滤波器,对其频谱分量进行0-1赋值得到对应的模板滤波器。利用模板滤波器对非侵入采集模式下的混合电流信号滤波,通过对滤波后频率分量的量化判决确定负荷的运行状态。利用实际采集的用电数据验证了该算法的有效性,能够准确判断负荷运行状态。此外,算法利用快速傅里叶变换(FFT)即可实现,便于实际中硬件封装。
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| 关 键 词： | 非侵入负荷监测 负荷辨识 模板滤波 特征电流 居民负荷 |
| 收稿时间： | 2016/4/11 0:00:00 |
| 修稿时间： | 2016/12/15 0:00:00 |
Fast Non-intrusive Load Identification Algorithm for Resident Load Based on Template Filtering |
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| WU Xin,QI Bing,HAN Lu,WANG Zhen and DONG Chao.Fast Non-intrusive Load Identification Algorithm for Resident Load Based on Template Filtering[J].Automation of Electric Power Systems,2017,41(2):135-141. |
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| Authors: | WU Xin QI Bing HAN Lu WANG Zhen and DONG Chao |
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| Affiliation: | School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China,School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China,School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China,School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China and School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China |
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| Abstract: | If a load device is put into operation, the current obtained when the load is running separately will be integrally included in the mixed sampling current. Considering the current model of non-intrusive load monitoring(NILM), a frequency analysis and template filtering-based identification algorithm is proposed. The characteristic current of each load is collected via a priori approach in order to form the characteristic filter. Giving 0 or 1 value to the spectral components of the characteristic filter, the corresponding template filter can be formed, which is used to filter the mixed sampling current signal. The running state of the load can be determined by quantitative decision of the filtered frequency component. The algorithm is verified effective by the actual sampling load data, which can accurately determine the load state. Furthermore, being realized by fast Fourier transform(FFT), the algorithm is easy to implement in hardware. This work is supported by National High Technology Research and Development Program of China(863 Program)(No. 2015AA050203)and Fundamental Research Funds for the Central Universities(No. 2016MS13). |
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| Keywords: | non-intrusive load monitoring(NILM) load identification template filtering characteristic current resident load |
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