基于模板滤波的居民负荷非侵入式快速辨识算法

发布时间：2018-05-19 01:04

  本文选题：非侵入负荷监测 + 负荷辨识　； 参考：《电力系统自动化》2017年02期

【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。
[Abstract]:Based on the frequency domain analysis of the current signal and the current model of non-intrusive monitoring load operation, the spectrum components of the current signal will be completely included in the mixed current spectrum when the current signal is acted on alone. A fast identification algorithm of resident load based on template filter is proposed. The characteristic current forming characteristic filter of each load of electric network is obtained by a priori method, and the corresponding template filter is obtained by 0-1 assignment of the spectrum component of the filter. The mixed current signal in the non-intrusive acquisition mode is filtered by the template filter, and the operation state of the load is determined by quantifying the frequency component after the filter. The validity of the algorithm is verified by the actual data collected, and the load state can be judged accurately. In addition, the algorithm can be realized by fast Fourier transform (FFT), which is convenient for hardware encapsulation.
【作者单位】： 华北电力大学电气与电子工程学院;
【基金】：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)~~
【分类号】：TM76;TM933.4
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本文编号：1908004