Real time reliability analysis of relay protection system in intelligent substation based on Markov model and GO method

被引:0
作者
Ye Y. [1 ]
Xie M. [1 ]
Wang J. [2 ]
Xu Y. [2 ]
Xu D. [3 ]
机构
[1] State Grid Anhui Electric Power Dispatch Center, Hefei
[2] North China Electric Power University (Baoding), Baoding
[3] Anhui Jiyuan Software Co., Ltd., Hefei
来源
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2019年 / 47卷 / 02期
关键词
GO method; Intelligent substation; Markov model; Real-time reliability; Relay protection system;
D O I
10.7667/PSPC180107
中图分类号
学科分类号
摘要
The digitization of total station information in intelligent substation provides the basis for real-time acquisition of relay protection information, however, the reliability analysis of relay protection system in intelligent substation remains in the estimation stage which is lagging behind the real-time operation state. This paper studies the real-time reliability of relay protection device by using the real-time message data of intelligent substation as the online monitoring data of relay protection system. First, from the online monitoring of intelligent substation, this paper classifies the message of intelligent substation and determines the state division of relay protection device. Second, the reliability of relay protection device is analyzed by Markov model, and GO method is used to analyze the reliability of relay protection system based on the characteristics of multimode so as to achieve the real-time reliability analysis function of relay protection device and system. Lastly, this method provides an effective means for the analysis of real-time reliability of intelligent substation protection system is proved by the example of a substation line protection system. © 2019, Power System Protection and Control Press. All right reserved.
引用
收藏
页码:47 / 55
页数:8
相关论文
共 25 条
  • [1] Beresh R., Ciufo J., Anders G., Basic fault tree analysis for use in protection reliability, Power Systems Conference: Advanced Metering, Protection, Control, Communication, and Distributed Resources, pp. 1-7, (2007)
  • [2] Dai Z., Wang Z., Jiao Y., Dynamic reliability assessment of protection system based on dynamic fault tree and Monte Carlo simulation, Proceedings of the CSEE, 31, 19, pp. 105-113, (2011)
  • [3] Wang C., Wang H., Zhang C., Et al., Study of reliability modeling for relay protection system in digital substations, Power System Protection and Control, 41, 3, pp. 8-13, (2013)
  • [4] Liu Y., Ma J., Zhang J., Et al., Reliability evaluation of a new generation smart substation considering relay protection system, Power System Protection and Control, 45, 8, pp. 147-154, (2017)
  • [5] Wang T., Xie M., Sun Y., Et al., Analysis of reliability for relay protection systems in smart substation, Power System Protection and Control, 43, 6, pp. 58-66, (2015)
  • [6] Song R., Chen Y., Fuzzy synthetic evaluation of relay protection based on variable weight value, Power System Protection and Control, 44, 3, pp. 46-50, (2016)
  • [7] He X., Jiang X., Zhang P., Et al., SVM based parameter estimation of relay protection reliability with small samples, Power System Technology, 39, 5, pp. 1432-1437, (2015)
  • [8] Dai Z., Li Z., Jiao Y., Et al., Reliability assessment based on BP neural network for relay protection system with a few failure data samples, Electric Power Automation Equipment, 34, 11, pp. 129-134, (2014)
  • [9] Zhang X., Wang C., Cheng X., Reliability analysis model for protective relaying system of UHV power network based on Markov state-space method, Power System Technology, 32, 13, pp. 94-99, (2008)
  • [10] Dai Z., Zhang T., Liu X., Et al., Research on smart substation protection system reliability for condition-based maintenance, Power System Protection and Control, 44, 16, pp. 14-21, (2016)