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Load Recognition for Different Loads with the Same Real Power and Reactive Power in a Non-intrusive Load-monitoring System

机译:在非侵入式负载监控系统中具有相同实际功率和无功功率的不同负载的负载识别

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摘要

This paper proposes the use of power signature to recognize different loads with the same real power and reactive power in a non-intrusive load-monitoring (NILM) system. To test the performance of the proposed approach, the data sets for electrical loads were analyzed and established using an electromagnetic transient program (EMTP) and onsite load measurement. Load recognition techniques were applied in a neural network. The effectiveness of load recognition and the time requirement were analyzed and compared using a back propagation classifier method. The experiments revealed that analyzing the turn-on transient energy signatures can enhance the efficiency of load recognition, particularly for different loads with the same real power and reactive power in a NILM system, and improve ability of computational speed.
机译:本文提出了使用功率签名来识别不同的负载,在非侵入式负载监测(NILM)系统中具有相同的实际功率和无功功率。为了测试所提出的方法的性能,使用电磁瞬态程序(EMTP)和现场负载测量来分析和建立电负载的数据集。负载识别技术在神经网络中应用。通过反向传播分类器方法分析并比较了负载识别的有效性和时间要求。实验表明,分析开启瞬态能量签名可以提高负载识别效率,特别是对于尼尔系统中具有相同实际功率和无功功率的不同载荷,以及提高计算速度的能力。

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