Patent ID: 11967823
Assignee: ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID LIAONING POWER CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC H  G  Y | IPC G  H

Claim 4:
5. A method for monitoring short-term voltage stability of a power system, comprising:
obtaining a topology and post-fault time series of a current power system;
inputting the topology and the time series of the current power system into a trained spatial-temporal graph network model, the trained spatial-temporal graph network model being obtained by classification learning on a spatial-temporal graph network model based on a simulation sample dataset;
outputting a status of the short-term voltage stability of the power system; and
sending an alarm signal in response to outputting an unstable status of the short-term voltage stability of the power system;
wherein before obtaining the topology and the time series of the current power system, the method further comprises:
constructing the simulation sample dataset;
constructing the spatial-temporal graph network model; and
training the spatial-temporal graph network model based on the simulation sample dataset;

wherein training the spatial-temporal graph network model based on the simulation sample dataset comprises:
dividing the simulation sample dataset into a first sample dataset and a second sample data set;
training the spatial-temporal graph network model by a stochastic gradient descent algorithm based on the first sample dataset, and testing the spatial-temporal graph network model by the second sample dataset; and
obtaining the trained spatial-temporal graph network model in a case that a test accuracy is greater than a preset threshold.