GU Zhi-ru1, LIU Hong-li1, TAN Zhou-wen1, LIU Shu-gang2
(1.College of Electrical and Information Engineering, Hunan Univ, Changsha，Hunan410082，China;2.Physics and Electronic Science, Hunan Univ of Science and Technology, Xiangtan,Hunan519000,China) 在知网中查找 在百度中查找 在本站中查找
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摘要:
基于实际测量电力噪声特性参数的统计分布，推导非高斯分布的窄带电力噪声模型，主要包括背景噪声和脉冲噪声.前者应用升余弦滚降滤波法建模，其功率服从正态分布；后者利用随机分布的特性参数：脉冲的宽度、间隔和包络所构建的脉冲函数来建模.宽度、间隔和包络随机量均服从分隔马氏链.然后应用实际测量数据和马尔克夫链蒙特卡罗（Markov Chain Monte Carlo, MCMC）分析法比较评估了此模型，数值分析结果显示，模型能够很好地逼近实际的电力噪声.
Based on the distribution of measurement, a Non-Gaussian model of narrow-band power line noise including background noise and impulsive noise was derived, The background noise, which follows Gaussian distributions, was modeled with a raised cosine roll-off filter, while the impulsive noise was modeled with impulse width, interarrival times and envelope parameters, whose distribution follows partitioned Markov chain. Then, the model was evaluated with some field measurement data and the Markov Chain Monte Carlo (MCMC) analysis. The evaluation results show that the proposed model can approximate the noise in real environment.
