A state assessment method for intelligent substation secondary equipment based on grey theory and cloud model

被引：0
|
作者：
Ye Y. [1 ]
Xie M. [1 ]
Huang T. [1 ]
Wang T. [1 ]
机构：
[1] State Grid Anhui Electric Power Limited Company, Hefei
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2019年 / 47卷 / 09期
关键词：
Analytic hierarchy process; Cloud model; Grey theory; Secondary equipment; State assessment;
D O I：
10.7667/PSPC180735
中图分类号：
学科分类号：
摘要：
For the complex diversity of the secondary fault mechanism of the smart substation, the traditional single-factor assessment is difficult to effectively mine potential safety hazards. A hierarchical evaluation model and index system for the secondary equipment state assessment is established based on the corresponding research. And grey clustering in grey theory is used to establish a grey clustering model for the state assessment of secondary equipment. In order to save manpower and take into account the objectivity of the state assessment, the grey prediction GM (1,1) model is used to discretely model the expert scores to obtain enough evaluation samples. At the same time, taking into account the uncertainty of the evaluation index, a grey model is used to construct a grey white weight function, and combined with the analytic hierarchy process to calculate the combined weight of the state indicators. The actual case simulation results show that the method supposed in this paper is small in computation and simple in operation, and can provide scientific guidance for the state-repairing work of secondary equipment and systems in smart substations accurately and in a timely manner. © 2019, Power System Protection and Control Press. All right reserved.
引用
收藏
页码：105 / 111
页数：6
相关论文
共 20 条
  • [11] Zhang Y., Liao R., Yang L., Et al., An assessment method for insulation condition of power transformer based upon cloud model, Transactions of China Electrotechnical Society, 27, 5, pp. 13-20, (2012)
  • [12] Yi Y., Liu Y., Chen Y., Et al., Research of network communication fault location technique in smart substation based on comprehensive information judgment, Power System Protection and Control, 44, 3, pp. 135-140, (2016)
  • [13] Ding X., Zhang Y., Cai Z., Et al., A protection method of abnormal information flow in process layer network based on packet analysis, Power System Protection and Control, 41, 13, pp. 58-63, (2013)
  • [14] Li R., Li Y., Zhou F., The functional frame and design principles of smart substation, Power System Protection and Control, 38, 21, pp. 24-27, (2010)
  • [15] Fan C., Ni Y., Dou R., Et al., Analysis of network scheme for process layer in smart substation, Automation of Electric Power Systems, 35, 18, pp. 67-71, (2011)
  • [16] 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)
  • [17] Wang K., Chen D., Discussion on the grey modeling of GM(1,1), Journal of Anqing Teachers College (Natural Science Edition), 14, 3, pp. 23-25, (2008)
  • [18] Yan G., Hou D., Effectiveness analysis of communication link based on gray cluster method, Electronic Design Engineering, 23, 2, pp. 181-183, (2015)
  • [19] Ding Y., Li W., Xu Y., Application of grey hierarchy cluster algorithm to effective evaluation of communication EW equipment, Fire Control and Command Control, 36, 1, pp. 103-107, (2011)
  • [20] Wang Y., Chen M., Jiang Z., Et al., A state assessment method for secondary equipment in intelligent substation based on cloud model, Power System Protection and Control, 46, 1, pp. 71-77, (2018)
12