Risikobeurteilung der Rotorwinkelinstabilität in einem Stromnetz

Details

Veröffentlichungs-Nr.

EP4804364

Anmeldetag

6. März 2025

Veröffentlichung

9. September 2026

Rechtsraum

EP

IPC

H02J3/00, G06N3/08

Abstract

Rotor angle instability is a key criterion of dynamic stability in power networks. State-of-the-art machine-learning approaches are difficult to scale and have limited inputs with which to make predictions as to rotor angle instability. Accordingly, disclosed embodiments utilize a machine-learning model that is applied to bus voltage angles, which are local quantities available at every bus in the power network, to derive a prediction of the risk of rotor angle stability in the power network. These predictions may be biased in order to avoid false negatives. The machine-learning model may be a message-passing neural network. The resulting predictor is capable of quickly and reliably flagging potential rotor instability within a power network.

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Firma

Hitachi Energy Ltd

Land

🇨🇭 Schweiz

Fachgebiete