Seamless grid following and grid forming inverter mode transition enabled by machine-learning based SCR estimation and smooth switching control
Anugula Rajamallaiah, Josep M. Guerrero, Yadala Pavankumar, Kishore Bingi, Muhammad Zain Yousaf, Mamdouh L. Alghaythi, Meshari S. Alshammari · 2026
Read Seamless grid following and grid forming inverter mode transition enabled by machine-learning based SCR estimation and smooth switching control by Anugula Rajamallaiah, Josep M. Guerrero, Yadala Pavankumar, Kishore Bingi, Muhammad Zain Yousaf, Mamdouh L. Alghaythi, Meshari S. Alshammari (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13562534.txt.
Description
Rajamallaiah and co-authors design a smooth switch between two inverter control modes for power grids. As solar and wind inverters spread, grids grow converter-dominated and their strength varies a lot. Grid-following inverters track an existing grid, while grid-forming types set voltage and frequency themselves.
Each mode suits a different grid strength, so systems may need to swap modes live. The team used machine learning to estimate grid strength, measured by short-circuit ratio. A smooth switching control then moves the inverter between modes without jolts. The goal is stable power as grid conditions change through the day.
Catalog record
| CREATOR | Anugula Rajamallaiah, Josep M. Guerrero, Yadala Pavankumar, Kishore Bingi, Muhammad Zain Yousaf, Mamdouh L. Alghaythi, Meshari S. Alshammari |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 76 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |