Research on time-varying state prediction of distribution lines based on support vector machine algorithm

Q. Su
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Abstract

Because the distribution line will be affected by internal and external factors in the working state, leading to the transition of the operating state, so the accurate prediction of the distribution line working state, is the current distribution network regulation and operation of the basic condition. According to the distribution circuit of power supply in recent years, as an important part of power distribution system, the basic role bear the substation and distribution of electrical energy, electric energy to power unit, research on power distribution line inspection regularly, can fully grasp the running state of the circuit, discover the problems of these defects, in order to improve the reliability of power supply system, Reduce the probability of line accidents. Therefore, on the basis of understanding the research status of distribution line state prediction, according to the basic content of support vector machine algorithm, this paper puts forward a time-varying state prediction method of distribution line based on support vector machine algorithm. Finally, the experimental results show that the algorithm is effective in the distribution system.
基于支持向量机算法的配电线路时变状态预测研究
由于配电线路在工作状态下会受到内外因素的影响,导致运行状态的过渡,因此准确预测配电线路的工作状态,是当前配电网调节和运行的基本条件。根据近年来对配电线路的研究,作为配电系统的重要组成部分,变电站承担着配电电能、电能向动力单位的基本作用,研究配电线路的定期检查,可以充分掌握线路的运行状态,发现这些缺陷问题,以提高供电系统的可靠性,减少线路事故发生的概率。因此,在了解配电线路状态预测研究现状的基础上,根据支持向量机算法的基本内容,提出了一种基于支持向量机算法的配电线路时变状态预测方法。实验结果表明,该算法在配电网中是有效的。
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