Renewable Energy Accommodation Assessment Method Based on Spatio-temporal Convolution Dynamic Knowledge Graph; [基 于 时 空 卷 积 动 态 知 识 图 谱 的 新 能 源 消 纳 评 估 方 法]

作者：Chen Zongyuan; Yu Tao^*; Ding Maosheng; Pan Zhenning; Chen Junbin; Liu Xizhe

来源：Automation of Electric Power Systems, 2023, 47(15): 45-54.

DOI：10.7500/AEPS20221209004

• artificial intelligence
• knowledge graph
• mechanism knowledge
• renewable energy accommodation assessment
• spatio-temporal graph
• spatio-temporal synchronous graph convolutional network

To construct a knowledge graph of renewable energy accommodation, firstly, the accumulated massive dispatching operation data of the power grid in the form of dynamic quaternions explicitly expresses the spatio-temporal correlations of dispatching operation data. The local spatio-temporal graph is quickly searched and extracted by sliding time windows to construct sub-graph data sets. Then, the spatio-temporal synchronous graph convolutional network extracts high-dimensional features from the local spatio-temporal graphs to fully excavate the spatio-temporal correlations of the historical data. The model is guided by the mechanism knowledge stored in the knowledge graph of renewable energy accommodation and trained in parallel by multiple subgraphs to improve the learning efficiency. Finally, simulation and experimental validation are conducted based on a provincial grid case in Northwest China. The results show that the proposed method can effectively avoid complicated mathematical modeling and solving, and has higher evaluation accuracy and speed compared with traditional methods. ? 2023 Automation of Electric Power Systems Press.

• 单位
  华南理工大学