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A Cumulant-based method for credibility assessment of power system state estimation

机译:基于累积量的电力系统状态估计可信度评估方法

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摘要

Although a great amount of achievements on the power system state estimation have been obtained in the past decades, few results about the credibility assessment of state estimation are presented. This paper proposes a Cumulant-based approach to assess the credibility of the estimated results in the case that the true values are unknown. The credibility indicators based on confidence intervals are provided to quantify the accuracy of the estimated results and the validity of the state estimator. The Cumulant method is applied to determine the statistical characteristic of estimated results, so that the confidence intervals can be figured out flexibly. The assessment results are very helpful for avoiding low-accuracy estimation. Results using the proposed method are compared against Monte-Carlo Simulations to demonstrate the accuracy of the results. Then, the validity of the credibility indicators is illustrated. Tests are carried on the IEEE 14-bus system and the IEEE 57-bus system respectively.
机译:尽管在过去的几十年中已经在电力系统状态估计方面取得了许多成就,但是关于状态估计的可信度评估的结果却很少。本文提出了一种基于累积量的方法,以在真实值未知的情况下评估估计结果的可信度。提供基于置信区间的可信度指标,以量化估计结果的准确性和状态估计器的有效性。应用累积量法确定估计结果的统计特征,从而可以灵活地计算出置信区间。评估结果对于避免低精度评估非常有帮助。使用提出的方法的结果与蒙特卡洛模拟进行了比较,以证明结果的准确性。然后,说明可信度指标的有效性。测试分别在IEEE 14总线系统和IEEE 57总线系统上进行。

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