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Improving network parameter error detection via multiple measurement scans

机译:通过多个测量扫描改进网络参数错误检测

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It was previously shown that normalized Lagrange multipliers in state estimation could be effectively used for network parameter error detection and identification. However, it was also observed that there could exist a number of “insensitive” normalized Lagrange multipliers corresponding to certain parameters which might lead to detection failure. This paper derives the relationship between Lagrange multipliers and parameter errors and explains the reasons behind detection failures. Furthermore, it facilitates the identification of insensitive normalized Lagrange multipliers. These results are then used to clarify the significance of incorporating multiple measurement scans as a way of avoiding detection failure and to derive a new approach for estimating the necessary number of scans to guarantee parameter error detection. Simulation results using the IEEE 14-bus system are presented to verify the proposed solution.
机译:先前所示,可以有效地用于网络参数错误检测和识别状态估计中的标准化拉格朗日乘法器。然而,还观察到,可以存在许多与某些参数相对应的“不敏感”的标准化拉格朗日乘法器,这可能导致检测失败。本文源于拉格朗日乘法器与参数错误之间的关系,并解释了检测失败背后的原因。此外,它有助于识别不敏感的标准化拉格朗日乘法器。然后使用这些结果来阐明作为避免检测失败的方式并引导估计参数错误检测的必要次数的新方法,阐明了多次测量扫描的重要性。提出了使用IEEE 14总线系统的仿真结果以验证所提出的解决方案。

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