GCN-LSTM spatiotemporal-network-based method for post-disturbance frequency prediction of power systems

Owing to the expansion of the grid interconnection scale, the spatiotemporal distribution characteristics of the frequency response of power systems after the occurrence of disturbances have become increasingly important. These characteristics can provide effective support in coordinated security co...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijät: Dengyi Huang, Hao Liu, Tianshu Bi, Qixun Yang
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: KeAi Communications Co., Ltd. 2022-02-01
Sarja:Global Energy Interconnection
Aiheet:
Synchronous phasor measurement
Frequency-response prediction
Spatiotemporal distribution characteristics
Improved graph convolutional network
Long short-term memory network
Spatiotemporal-network structure
Linkit:http://www.sciencedirect.com/science/article/pii/S2096511722000287
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