Wind Power Plant’s Synthetic Inertia Estimation Using Extended Kalman Filter
| Autor: | Vahid Helac, Herwig Renner, Selma Hanjalic |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Engineering Proceedings, Vol 60, Iss 1, p 4 (2024) |
| Druh dokumentu: | article |
| ISSN: | 20240600 2673-4591 |
| DOI: | 10.3390/engproc2024060004 |
| Popis: | In the transition from non-renewable to renewable energy sources, wind and solar power plants have emerged as primary sources for reducing atmospheric emissions. However, ensuring grid stability remains a challenge in the absence of traditional power plants. Renewable energy sources are often referred to as “inertia-less,” highlighting their vulnerability in transient stability scenarios in which system inertia is crucial. This paper introduces the concept of “synthetic inertia estimation” using an Extended Kalman Filter as a novel solution. Using the synthetic inertia estimation from a wind power plant, one can use the residual kinetic energy, and through the DC/AC converter, inject it into the system during times of stability disturbances. This paper offers practical insights into synthetic inertia estimation and its implementation for enhancing grid stability in a sustainable energy landscape. |
| Databáze: | Directory of Open Access Journals |
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