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

Bin Wang, G. He, S. Mei
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引用次数: 1

Abstract

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.
基于累积量的电力系统状态估计可信度评估方法
近几十年来,在电力系统状态估计方面取得了大量的研究成果,但关于状态估计可信度评估的研究却很少。本文提出了一种基于累积量的方法来评估在真实值未知的情况下估计结果的可信度。提出了基于置信区间的可信性指标来量化估计结果的准确性和状态估计器的有效性。采用累积量法确定估计结果的统计特性,从而可以灵活地计算置信区间。评估结果对避免低精度估计很有帮助。将该方法与蒙特卡罗模拟结果进行了比较,验证了结果的准确性。然后,对可信性指标的有效性进行了说明。分别在IEEE 14总线系统和IEEE 57总线系统上进行了测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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