Patent ID: 11906957
Assignee: HUNAN UNIVERSITY
Field: Electrical machinery, apparatus, energy (Electrical engineering)
Classification: CPC G  H  Y | IPC G  H

Claim 2:
3. The method for assessing the short-term voltage stability of the power grid based on the synchronous spatio-temporal information learning according to claim 2, wherein in step S32, the performance test is performed on the short-term voltage stability assessment model by using a cross validation method; let Nf denote a sum the number of samples whose actual power grid statuses Y are 1 but predicted statuses are mistakenly assessed to be unstable (i.e., Y′=−1) and the number of samples whose actual power grid statuses Y are −1 but predicted statuses are mistakenly assessed to be stable (i.e., Y′=−1) in the transient sample set; the stability assessment accuracy of the short-term voltage stability assessment model is calculated according to a formula Acc=Nf/N×100%; and if Acc≥97%, stability assessment performance of the short-term voltage stability assessment model meets the requirement, and the synchronous spatio-temporal information learning training of the short-term voltage stability assessment model is completed, and then step S4 is performed; if Acc<97%, the synchronous spatio-temporal information learning is performed again by using the transient sample set obtained in step S1 until Acc≥97%, and then step S4 is performed.