Recent studies indicate that the noise characteristics of phasor measurement units (PMUs) can be more accurately described by non-Gaussian distributions. Consequently, estimation techniques based on Gaussian noise assumptions may produce poor results with PMU data. This paper considers the PMU based line parameter estimation (LPE) problem, and investigates the performance of four state-of-the-art techniques in solving this problem in presence of non-Gaussian measurement noise. The rigorous comparative analysis highlights the merits and demerits of each technique w.r.t. the LPE problem, and identifies conditions under which they are expected to give good results.

翻译：最近的研究表明，相量测量单元（PMU）的噪声特性可以用非高斯分布更精确地描述。因此，基于高斯噪声假设的估计技术在处理PMU数据时可能产生较差的结果。本文研究了基于PMU的输电线参数估计（LPE）问题，并考察了四种先进技术在非高斯测量噪声环境下解决该问题的性能。通过严格的比较分析，阐明了每种技术在处理LPE问题中的优缺点，并确定了它们预期能给出良好结果的条件。