Integrating model-driven and data-driven methods for fast state estimation
International Journal of Electrical Power & Energy Systems(2022)
摘要
•An SE method is proposed to enhance the efficiency without sacrificing accuracy.•A novel data-driven method based on GCN is designed to mine the value within power network topology.•Branch parameters together with power angle difference are designed as dynamic edge features to improve the accuracy.
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关键词
Fast state estimation,Model-driven,Data-driven,Graph convolution network,Dynamic edge condition
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