ZHANG Hong, JING Xin, RUAN Mengyu, ZHOU Lijun, WANG Jing, LIN Chunlong, LIN Chunzhe. A Method of Fast Eliminating Transmission Section Overload Based on Knowledge Graph in Large-scale AC-DC Power Grids[J]. Modern Electric Power, 2021, 38(4): 455-464. DOI: 10.19725/j.cnki.1007-2322.2020.0392
Citation: ZHANG Hong, JING Xin, RUAN Mengyu, ZHOU Lijun, WANG Jing, LIN Chunlong, LIN Chunzhe. A Method of Fast Eliminating Transmission Section Overload Based on Knowledge Graph in Large-scale AC-DC Power Grids[J]. Modern Electric Power, 2021, 38(4): 455-464. DOI: 10.19725/j.cnki.1007-2322.2020.0392

A Method of Fast Eliminating Transmission Section Overload Based on Knowledge Graph in Large-scale AC-DC Power Grids

  • In order to eliminate the transmission section overload quickly and efficiently to ensure the secure and stable operation of large-scale power grid, a knowledge graph based method to rapidly generate disposal strategy for transmission section overload in large-scale AC/DC power grids was proposed. Firstly, the features of the knowledge in grid dispatching domain and the applicability of the technology of knowledge graph were analyzed, the source of dispatching knowledge oriented to abnormal grid and fault treatment was determined and the method and basic principle to construct property graph model in power grid dispatching domain were presented. Secondly, on the basis of the power sensitivity and overall considering operational risk of heavy-loaded transmission lines a method to calculate the comprehensive power sensitivity between active power of transmission sections and nodal injected power was derived and based on the adjustment of equal and opposite quantities in pairs a calculation method for disposal strategy of transmission section overload was proposed, and a knowledge graph based fast generating and implementing process for transmission section overload disposal strategy of AC/DC large scale power grid was designed. Finally, taking a certain practical power grid for example, the correctness and effectiveness of the proposed method are verified.
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