Data-Driven Trajectory Prediction of Grid Power Frequency Based on Neural Models

Data-Driven Trajectory Prediction of Grid Power Frequency Based on Neural Models

Frequency in power systems is a real-time information that shows the balance between generation and demand. Good system frequency observation is vital for system security and protection. This paper analyses the system frequency response following disturbances and proposes a data-driven approach for...

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Bibliographic Details
Main Authors: Harold R. Chamorro, Alvaro D. Orjuela-Cañón, David Ganger, Mattias Persson, Francisco Gonzalez-Longatt, Lazaro Alvarado-Barrios, Vijay K. Sood, Wilmar Martinez
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Electronics
Subjects:
non-synchronous generation
frequency response
low-inertia power systems
primary frequency control
wind power
nadir estimation
Online Access:https://www.mdpi.com/2079-9292/10/2/151

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