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Fig. 2 | Protection and Control of Modern Power Systems

Fig. 2

From: Static information, K-neighbor, and self-attention aggregated scheme: a transient stability prediction model with enhanced interpretability

Fig. 2

The information flow of the proposed method. \({\mathcal{A}}\) denotes the topology of the graph and \({\mathcal{X}}\) denotes the parameterized information of the graph. In the feature extract session, the feature \({\mathcal{X}}_{0 - }\) and the topology \({\mathcal{A}}_{0 - } ,{\mathcal{A}}_{{0{ + }}} ,{\mathcal{A}}_{c + }\) are used as input and processed by three modules to finally obtain \({\mathcal{X}}_{H}\). The downstream model takes \({\mathcal{X}}_{H}\) as input and obtains the system label \(y_{s}\) and generator label \(y_{g}\) by two predictors, respectively

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