Construction and Application of Knowledge Graph for Intelligent Retrieval of Power Grid Dispatching and Control Information

doi:10.11930/j.issn.1004-9649.202209084

Abstract

Abstract: Lack of effective retrieval means for the multi-dimensional information of power grid dispatching and control, a knowledge graph construction method for the intelligent retrieval of power grid dispatching and control information is proposed. The semantic relationship of dispatching operation procedures key information is recognized based on deep learning, and the rule conversion method is used to extract the power grid model information. The dispatching and control information knowledge map is established by integrating the targeted knowledge of dispatching operation procedures and power grid model knowledge, and the application scheme of intelligent retrieval of dispatching and control information based on knowledge graph is proposed. The proposed method has been verified to have high recognition accuracy through numerical examples, and can support intelligent retrieval of regulatory information in different scenarios.

Key words: power grid dispatching, deep learning, knowledge extraction, knowledge graph

LIU Dong, ZHANG Yue, PI Junbo, SHAN Lianfei, LIU He, SONG Pengcheng, JIANG TAO. Construction and Application of Knowledge Graph for Intelligent Retrieval of Power Grid Dispatching and Control Information[J]. Electric Power, 2023, 56(7): 78-84.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202209084

https://www.electricpower.com.cn/EN/Y2023/V56/I7/78

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