基于Markov模型的常规采样智能跳闸变电站保护系统的可靠性分析

Reliability analysis of substation protection system based on Markov model with conventional sampling and intelligent tripping

为了提高智能变电站二次设备运行的可靠性,实时在线对二次设备运行状态进行评估是必要的。本文分析了新疆地区部分750kV变电站的特点是常规采样智能跳闸的方式,且处在极端的运行环境中,因此本文建立了考虑极端运行环境下的常规采样智能跳闸变电站的典型线路间隔的Markov动态模型,对常规采样智能跳闸变电站保护系统的可靠性进行了理论分析,得出该方法能够很好地为变电站的检修计划要求提供理论支撑。

In order to improve the reliability of secondary equipment operation in Intelligent Substation, Real-time on-line evaluation of secondary equipment operation status is necessary. In this paper, the characteristics of 750 kV substation in Xinjiang are analyzed, which are the conventional sampling intelligent tripping mode, and in an extreme operating environment. Therefore, this paper establishes a Markov dynamic model of typical line spacing in conventional sampling intelligent trip substation, which takes into account extreme operating conditions. The reliability of semi-conventional-semi-intelligent substation protection system is theoretically analyzed. It is concluded that this method can provide a good theoretical support for the requirements of substa tion maintenance plan.