Reliability analysis of substation protection system based on Markov model with conventional sampling and intelligent tripping
He Changgen1, Zhang Lu2, Nan Dongliang2, Wang Wenhuan3, Lu Xiaorong4
1. State Grid Xinjiang Electric Power Co., Ltd, Urumqi 830000; 2. Electric Power Research Institute State Grid Xinjiang Electric Power Co., Ltd, Urumqi 830000; 3. China Electric Power Research Institute, Beijing 100192; 4. Nanjing Guodian Nansi Technology Development Co., Ltd, Nanjing 211106
Abstract 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 750kV 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 substation maintenance plan.
He Changgen,Zhang Lu,Nan Dongliang等. Reliability analysis of substation protection system based on Markov model with conventional sampling and intelligent tripping[J]. Electrical Engineering, 2019, 20(12): 17-22.