灰色模型在雷击率分析中的应用

Hua Li, Xu-Dong Sun, Ling-ling Li, Fan Wu
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引用次数: 0

摘要

跳闸率在电力系统稳定运行的研究中起着非常重要的作用,因此跳闸率的预测已成为一个迫切需要解决的问题。结合灰色理论的特点,在原始数据的基础上建立了脱闸率的突变预测模型。建立了跳闸率阈值,超过该阈值的数据被认为是异常的。通过原始数据和模型对脱扣率出现异常的时间进行了预测。最后通过一个实例准确地预测了异常值。验证了该预测方法的有效性。从另一个角度来看,灰色模型可以提高供电的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application on the rate of lightning trip based on the grey model
Trip-out rate plays a very important role in the research of stable operation of power system, so trip-out rate forecast has become an urgent problem. combining with the characteristics of the grey theory, a catastrophe prediction model about trip-out rate was set up based on the original data. A trip-out rate threshold was established and the data exceeding it was considered abnormal. The time when the trip-out rate would appear abnormal was predicted through the original data and the model. The exception value was accurately predicted by one instance at last. It proves the validity of the prediction method. From another perspective, the gray model can improve the power supply reliability.
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