Physics-informed Machine Learning for Virtual Inertia Provision from Distribution Power Systems

von Simon Stock

169 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

This thesis develops a framework that enables the provision of Virtual Inertia from power distribution systems. In this way, distributed renewables energies can be utilized to support the overall system frequency. Physics-informed Machine Learning techniques are developed and applied inside this framework. Namely, the Bayesian Physics-informed Neural Network and the Physics-informed Actor Critic.

• Reihe: Schriftenreihe des Instituts für Elektrische Energietechnik
• ISBN: 9783844097658
• Sprache: Englisch
• Erscheinungsdatum: 18.02.2025
• Genre: Technik/Wärmetechnik, Energietechnik, Kraftwerktechnik
• Verlag: Shaker