Abstract
Currently, narrowband Power line communication (PLC) is considered an attractive communication system in smart grid environments for applications such as advanced metering infrastructure (AMI). In this paper, we will present a comprehensive comparison and analysis in time and frequency domain of noise measured in China and Italy. In addition, impulsive noise in these two countries are mainly analyzed and modeled using two probability based models, Middleton Class A (MCA) model and α stable distribution model. The results prove that noise measured in China is rich in impulsive noise, and can be modeled well by α stable distribution model, while noise measured in Italy has less impulsive noise, and can be better modeled by the MCA model.
Highlights
Power Line Communications (PLC), is currently considered an attractive communication system in smart grid because of its ubiquitous infrastructure and low-cost operation maintenance
As explained before we focused on narrowband PLC noise measurement in the frequency range from 10 kHz to 600 kHz, a sampling frequency of 2 MS/s is adopted in the measurement in both countries
It turns out that noise measured in China is full of impulsive noise all the time, while noise measured in Italy has hardly any impulsive noise but several narrowband interferences (NBI)
Summary
Power Line Communications (PLC), is currently considered an attractive communication system in smart grid because of its ubiquitous infrastructure and low-cost operation maintenance. An empirical noise model was built based based on time and frequency domain observation, especially defining the basic characteristics of impulsive noise such as impulse width, impulsive amplitude, interarrival time, impulse rate and the disturbance ratio This noise classification was comprehensively applied in subsequent power line noise modeling in both broadband and narrowband PLC [17]. Power line noise indoors were measured both in China and Italy with different loads connected to the network, and the frequency range nearly embraces the whole frequency band of 30–500 kHz. We propose a statistical study of the main characteristics of the measured noise in both countries: we compare the basic noise characteristics both in time and frequency domain of two countries and apply two noise modeling techniques (MCA and α-stable distribution) as well as inspecting their sustainability
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