Fault Diagnosis for Substation with Redundant Protection Configuration Based on Time-Sequence Fuzzy Petri-Net

Haiying Dong, Xiaonan Li

Abstract


Due to timing inconsistency, dual protection configuration and uncertainty diagnosis result characteristics of 750kV substation, fault diagnosis method of substation with redundant protection configuration which based on time sequence fuzzy Petri nets is proposed. In this method, redundant knowledge about fault component is represented by using two sets of protected information. On that basis, component redundant diagnosis-model based on time sequence fuzzy Petri net is constructed, which can be decomposed into main and redundant subnet-model. In this model, initial-information credibility is determined using information-entropy, timing constraint is checked, and initial-information credibility is corrected using the relationship between acted protection and breaker. Compared with fuzzy Petri net diagnosis method take no account of timing constraint, this method can not only identify the malfunction information, but also obtain a certain result.


Full Text:

PDF

References


Dou Xiaobo, Hu Minqiang, Wu Zaijun. Configuration and redundancy of communication networks in digital substations. Electric Power Automation Equipment. 2008; 28(1): 38-43.

Tang Lei, Sun Hongbin, Zhang Boming. Online fault diagnosis for power system based on information theory. Proceedings of the CSEE. 2003; 27(7): 5-11.

Guo Wenxin, Liao Zhiwei, Wen Fushuan. An analytic model for power network fault diagnosis with the temporal information of alarm message taken into account. Automation of Electric Power Systems. 2008; 32(22): 26-31.

Guo Wenxin, Wen Fushuan, Liao Zhiwei. An analytic model for power system online alarm processing based on temporal constraint network. Automation of Electric Power Systems. 2009; 33(21): 36-43.

Kang Taifeng, Wu Wenchuan, Zhang Boming. Temporal abductive reasoning based diagnosis and alarm for power grid. Proceedings of the CSEE. 2010; 30(19): 84-90.

Wang Lei, Wan Qiulan. Extended time petri net applied in action logic simulation of protection and automation equipment in DTS. Automation of Electric Power Systems. 2005; 29(6): 71-74.

Yang Jianwei, He Zhengyou. Power system fault diagnosis approach based on time sequence fuzzy Petri net. Automation of Electric Power Systems. 2011; 35(15): 46-51.

Kang H G, Seong P H. A methodology for evaluating alarm processing systems using informational entropy based measure and the analytic hierarchy process. IEEE Transactions on Nuclear Science. 1999; 46(6): 2269-2280.

Angel Cataron, Razvan Andonie. How to infer the informational energy from small datasets. Optimization of Electrical and Electronic Equipment (OPTIM). Brasov. 2012: 1065-1070.

Yuan-sheng Huang, Wei Fang, Shao-hui Chen. Assessment on operational risk of power grid enterprises based on entropy weight and improved grey relation analysis. Education Technology and Computer Science (ETCS). Wuhan. 2010: 448-451.

Xu Luo, Mladen Kezunovic. Implementing fuzzy reasoning Petri-nets for fault section estimation. IEEE Transactions on power delivery. 2008; 2(23): 676-685.

PTT Binh, NDTuyen. Fault diagnosis of power system using neutral petri net and fuzzy neural petri net. Power India Conference of 2006 IEEE. New Delhi. 2006.

Jean Francois Condotta, Gerard Ligozat. Ultimately periodic qualitative constraint networks for spatial and temporal reasoning. Tools with Artificial Intelligence. Hong Kong. 2005: 583-588.

Hoong Chuin LAU, Thomas OU. Robust temporal constraint network. Tools with Artificial Intelligence. Hong Kong. 2005: 81-88.

Wenxin Guo, Fushuan Wen, Zhiwei Liao. An analytic model-based approach for power system alarm processing employing temporal constraint network. IEEE Transactions on Power Delivery. 2010; 25(4): 2435-2447.




DOI: http://doi.org/10.12928/telkomnika.v11i2.911

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

TELKOMNIKA Telecommunication, Computing, Electronics and Control
ISSN: 1693-6930, e-ISSN: 2302-9293
Universitas Ahmad Dahlan, 4th Campus
Jl. Ringroad Selatan, Kragilan, Tamanan, Banguntapan, Bantul, Yogyakarta, Indonesia 55191
Phone: +62 (274) 563515, 511830, 379418, 371120
Fax: +62 274 564604

View TELKOMNIKA Stats