Abstract
Smart grid has become an important direction for the development of the current power industry, and risk management is an important research content of the smart grid. However, the current solutions to power failure still rely on dispatchers with their knowledge and experience. It is of great significance to construct a knowledge base of power dispatching operation for intelligent decision-making support. In this paper, we propose a method of constructing dispatching operation knowledge based on knowledge graph technology to assist the dispatcher in making decisions when encountering the risk of power failure. We use it to analyze the power dispatching knowledge. By knowledge extraction and building knowledge relationship network, we constructed the knowledge graph of power dispatching operation. It provides knowledge support for intelligent power dispatching systems to assist dispatchers in making decisions when power failures occur. It can help dispatchers reduce workload and various work errors while improving quality and efficiency.
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References
Liu, J., Li, Y., Duan, H., et al.: Knowledge graph construction technique. J. Comput. Res. Dev. 3, 582–600 (2016)
Li, J., Hou, L.: Reviews on knowledge graph research. J. Shanxi Univ. (Nat. Sci. Ed.) 40(3), 454–459 (2017)
Li, J., Hou, L.: Review on knowledge graph techniques. J. Univ. Electron. Sci. Technol. China 45(4), 589–606 (2016)
Zhu, G., Iglesias, C.A.: Sematch: semantic similarity framework for knowledge graphs. Knowl.-Based Syst. (2017). S0950705117302447
Wang, H., Cao, J., Luo, L.: Current status and challenges of power text data mining. Zhejiang Electr. Power 38(3), 1–7 (2019)
Liu, Z., Wang, H.: Retrieval method for defect records of power equipment based on knowledge graph technology. Autom. Electr. Power Syst. 42(14), 158–164 (2018)
Ji, Y., Xie, D., Zhou, S., Wang, X.: Construction method of semantic search system in power domain. Comput. Syst. Appl. 25(4), 91–96 (2016)
Fan, H., Huang, H., Wang, X.: Research on knowledge extraction technology of power grid text data based on semantic annotation. In: Proceedings of the third Smart Grid Conference, Location of Conference. Computer Engineering and Applications, vol. 12, pp. 140–144 (2018)
Li, X., Xu, J., Guo, Z., et al.: Construction and application of knowledge graph of power dispatching automation system. Electr. Power 52(2), 70–77 (2019)
Tan, G., Chen, Y., Peng, Y.: HDKG: hybrid domain features’ knowledge graph smart question answering system. Comput. Eng. Appl. (2019). http://kns.cnki.net/kcms/detail/11.2127.TP.20190906.1033.010.html
Acknowledgments
This research was funded by Application Research of Artificial Intelligence Technology in Real-time Balance and Risk Analysis of Large Power Grid, the project of Hunan Electric Power Company, State Grid. We would like to thank the referees for their valuable comments and suggestions.
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Chen, Y., Liao, Z., Chen, B., Shi, H., Chen, H. (2021). Construction Method of Knowledge Base for Power Grid-Aided Decision Based on Knowledge Graph. In: WU, C.H., PATNAIK, S., POPENTIU VLÃDICESCU, F., NAKAMATSU, K. (eds) Recent Developments in Intelligent Computing, Communication and Devices. ICCD 2019. Advances in Intelligent Systems and Computing, vol 1185. Springer, Singapore. https://doi.org/10.1007/978-981-15-5887-0_51
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DOI: https://doi.org/10.1007/978-981-15-5887-0_51
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