Short-term and long-term inertia forecasting with low-inertia event prediction in IBR-integrated power systems using a deep learning approach

Short-term and long-term inertia forecasting with low-inertia event prediction in IBR-integrated power systems using a deep learning approach

The integration of renewable energy sources (RES), particularly inverter-based resources (IBRs) such as solar and wind power, has significantly reduced dependence on conventional synchronous generators, thereby decreasing system-wide spinning inertia. This reduction results in rapid changes in the r...

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Bibliographic Details
Main Authors: Santosh Diggikar, Arunkumar Patil, Katkar Siddhant Satyapal, Kunal Samad
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:e-Prime: Advances in Electrical Engineering, Electronics and Energy
Subjects:
Renewable energy resources
Inverter based resources
Power system stability
Inertia forecasting
Hybrid model
CNN
Online Access:http://www.sciencedirect.com/science/article/pii/S2772671125001287
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