Abstract
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.
Original language | English |
---|---|
Article number | 4 |
Journal | Engineering Proceedings |
Volume | 60 |
Issue number | 1 |
DOIs | |
Publication status | Published - 5 Jan 2024 |
Keywords
- dynamic state estimation
- Kalman filter
- stability
- synthetic inertia
- wind power plants
ASJC Scopus subject areas
- Biomedical Engineering
- Mechanical Engineering
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering