基于有功功率特征和模板边缘检测的负载识别

Load Identification Based on the Active Power Feature and Edge Detection by Template Method

为解决家庭用电分类计量及用户科学用电以实现节能的问题,本文研究了一种用于家用智能电表的负载识别方法。该方法基于有功功率原理提出了一种负载特征值的计算方法,在特征值分析的基础上利用模板法完成对负载开关时刻的鲁棒性检测,最后通过阈值法进行负载识别。为了验证其可行性,利用Matlab对实际供电线路的大量数据进行了实验验证。实验结果表明,负载在开关时刻,特征值会发生明显跳变,且不同种类负载的跳变趋势也不同。该方法具有良好的负载开关检测和识别效果,并且明显降低了噪声影响,提高了检测准确性。该研究具有一定的实用价值。

In order to solve the problem that the classified measurement of the household electricity power con-sumption and scientific electricity use for power saving, an efficient method of load recognition is presented in this paper, which can be used in the intelligent ammeters. In the method, analgorithm for calculating the fea-ture values of electric signals on the power supply line is proposed based on the theory of active power; the template method is proposed to make robustness detection on switching moment of the loads based on the anal-ysis of the feature values; finally, the load type at each switching moment can be identified by a threshold value method. In order to validate its feasibility, experiments are done on large amounts of signal data captured from real power supply line by matlab. The experimental results show that there are obvious jumps at the switching moments and the jumping trends of different loads are different. The method has a good performance in the de-tection and recognition of loads. Moreover, it can reduce the interference of noise significantly and improves the detection accuracy. The research has practical value.