A condition assessment model of EHV/UHV transmission line based on bayesian network and complex network theory

被引：0

作者：

Jiang, Le ^{[1
,2
]}

Liu, Junyong ^{[1
]}

Wei, Zhenbo ^{[1
]}

Gong, Hui ^{[3
]}

Huang, Yuan ^{[1
]}

Li, Chengxin ^{[1
]}

机构：

[1] School of Electrical Engineering and Information, Sichuan University, Chengdu

[2] State Grid Sichuan Electric Power Company, Chengdu

[3] Changsha Power Supply Company, State Grid Hunan Electric Power Company, Changsha

来源：

Gaodianya Jishu/High Voltage Engineering | 2015年 / 41卷 / 04期

基金：

英国工程与自然科学研究理事会; 中国国家自然科学基金;

关键词：

Bayesian networks; Complex network theory; Condition assessment; EHV/UHV transmission line; Integrated state evaluation; Risk assessment;

D O I：

10.13336/j.1003-6520.hve.2015.04.027

中图分类号：

学科分类号：

摘要：

To effectively evaluate the impacts of external working condition and internal operating state on condition assessment for ultra-high voltage transmission lines, we quantitatively analyzed the fault probability of transmission line caused by various external factors using the Bayesian network. Using the complex network theory, we quantified the difference in importance of transmission lines by systemic geometrical parameters. Finally, on the basis of the idea of risk assessment, we proposed an integrated state evaluation model of transmission line based on the Bayesian network and the complex network theory. Further simulations prove that the proposed model performs well in recognizing the important transmission lines with high failure probability in power system. Compared with the condition assessment based on external condition information, the proposed model takes the internal operation information into consideration, hence it has better ability of real-time importance identification with higher calculation speed, which fulfills the demands of practical engineering. ©, 2015, Science Press. All right reserved.

引用

页码：1278 / 1284

页数：6

共 20 条

[1]

Liu Z., Extra-High Voltage Power Grid, (2005)

[2]

Ehavaraju M.P., Eillinton R., Reppen N.D., Requirements for composite system reliability evaluation models, IEEE Transactions on Power System, 3, 1, pp. 149-157, (1988)

[3]

Du Z., Zhang Y., Ruan J., Et al., Failure analysis of 500 kV iced overhead transmission line by finite element method, High Voltage Engineering, 38, 9, pp. 2430-2436, (2012)

[4]

Yao C., Li Y., Zhou Z., Et al., Reliability evaluation for iced tower based on ultimate bearing capacity analysis, High Voltage Engineering, 39, 11, pp. 2609-2614, (2013)

[5]

Huang J., Guo R., Zhao F., Et al., Fault set classification method for power system reliability evaluation, Proceedings of the CSEE, 33, 16, pp. 112-121, (2013)

[6]

Yu D.C., Nguyen T.C., Haddawy P., Bayesian network model for reliability assessment of power systems, IEEE Transactions on Power Systems, 14, 2, pp. 426-432, (1999)

[7]

Wen X., Lan L., Jiang R., Operating risk assessment for transmission and line insulars using Markovmodel, High Voltage Engineering, 37, 8, pp. 1952-1960, (2011)

[8]

Yang L., Hao Y., Li L., Et al., Fuzzy expert system for condition assessment of overhead transmission line icing, High Voltage Engineering, 37, 12, pp. 3028-3035, (2011)

[9]

Du L., Yuan L., Xiong H., Et al., Extension hierarchy assessment for operation condition of power transformer, High Voltage Engineering, 37, 4, pp. 897-903, (2011)

[10]

Ji G., Wu W., Zhang B., Et al., A time-varying component outage model for power system condition-based maintenance, Proceedings of the CSEE, 33, 25, pp. 139-146, (2013)

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