Abstract
For a long time, the fault diagnosis technology of relay protection consists of isolated cases and does not have a systematic method. The actual fault situation of the relay protection is complicated, and the existing diagnosis knowledge organized according to isolated cases is difficult to directly guide the on-site application. This paper proposes a relay protection fault diagnosis method, which classifies the existing fault diagnosis expert knowledge into categories, and extracts the common fault diagnosis expert knowledge of each category as the generalized expert knowledge. The paper broadens the previously scattered fault diagnosis expert knowledge into that of the different categories, and infer the diagnosis knowledge of similar faults based on this. In this way, the evolution of the existing fault diagnosis expert knowledge is realized, and making the fault diagnosis technology contain flexible, expandable and self-learning features. A practical example verifies the effectiveness of the method in this paper.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Guo, P., Wang, L., Yan, Z., Xia, Y.: Intelligent diagnosis method of relay protection defects based on Bayesian theory. In: IEEE Sustainable Power and Energy Conference: Energy Transition for Carbon Neutrality, pp. 2974–2978. IEEE, Nanjing (2021)
Liu, D., Guo, P., Li, Y., Kang, Y.: Multi-source data-based fault analysis method for UHV power grid. In: International Conference on Big Data and Artificial Intelligence and Software Engineering, pp 98–102. IEEE, Chengdu (2021)
Wang, W., et al.: Structure and query optimization of relay protection data model based on shortest path algorithm. In: International Conference on Electronic Engineering and Informatics, pp 509–515. IEEE, Nanjing (2019)
Wu, C., et al.: Analysis of typical modes of relay protection faults based on K-means algorithm. In: International Conference on Electronic Engineering and Informatics, pp 499–505. IEEE, Nanjing (2019)
Guo, P., Yang, G., Wang, W., Yan, Z., Zhang, L., Zhang, H.: Relay protection data integrity check method based on big data association algorithm. In: International Conference on Electronic Engineering and Informatics, pp 506–508. IEEE, Nanjing (2019)
Yang, G., Wang, W., Li, Y., Guo, P., Zhan, R., Wang, L.: Research on service model of protection relay based on occurrence sequence of petri net. In: IEEE Conference on Energy Internet and Energy System Integration, pp 245–251. IEEE, Beijing (2018)
Wang, W., Guo, P., Zhan, R., Yang, G., Li, Y., Li, J.: Modeling and query optimization of relay protection data based on Dijkstra algorithm. Electric Mach. Control 25(1), 68–78 (2021). (in Chinese)
Yang, G., Li, H., Guo, P., Wang, W., Zhang, L., Liu, D.: An operation status perception method for relay protection device based on fuzzy comprehensive evaluation. Electric Power ICT 18(4), 74–83 (2020). (in Chinese)
Wang, W., et al.: Research on relay protection on-line analysis and intelligent diagnosis technology and system structure. Electric Power ICT 16(4), 1–8 (2018). (in Chinese)
Wang, W., Guo, P., Zhu, J., Yang, G., Zhan, R., Zhang, L.: Fault positioning and risk assessment method of relay protection based on fault tree and Bayesian network. J. Electric Power Science and Technology 36(4), 81–90 (2021). (in Chinese)
Yang, G., Dai, F., Wang, W., Guo, P., Li, Y.: Research and application of comprehensive algorithm of relay protection status assessment based on Gray correlation analysis and Topsis method, vol 52(2), 94–103 (2019). (in Chinese)
Acknowledgement
This paper is supported by National Key R&D Program: Key technologies of power Internet of Things, No. 2020YFB0905900.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 Beijing Paike Culture Commu. Co., Ltd.
About this paper
Cite this paper
Guo, P., Yang, G., Zhang, L., Li, Z. (2023). Fault Diagnosis Method of Relay Protection Based on Expert Rule Deduction. In: Li, J., Xie, K., Hu, J., Yang, Q. (eds) The Proceedings of the 17th Annual Conference of China Electrotechnical Society. ACCES 2022. Lecture Notes in Electrical Engineering, vol 1013. Springer, Singapore. https://doi.org/10.1007/978-981-99-0451-8_122
Download citation
DOI: https://doi.org/10.1007/978-981-99-0451-8_122
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-0450-1
Online ISBN: 978-981-99-0451-8
eBook Packages: EngineeringEngineering (R0)