Optimized PI based fuzzy controller for power quality assessment in autonomous microgrid using novel hybrid bio-inspired optimization technique
Suresh Govindasamy, Jaisiva Selvaraj, Rathinam Angamuthu, Tefera Mekonnen Azerefegn · 2026
Read Optimized PI based fuzzy controller for power quality assessment in autonomous microgrid using novel hybrid bio-inspired optimization technique by Suresh Govindasamy, Jaisiva Selvaraj, Rathinam Angamuthu, Tefera Mekonnen Azerefegn (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-13473672.txt.
Description
Govindasamy and co-authors tuned a shunt active power filter, a device that injects corrective currents to cancel electrical distortion, using a hybrid optimizer that crosses sand cat swarm search with zebra optimization. Their 2026 simulations target autonomous three-phase microgrids feeding nonlinear loads, the electronics that dirty a clean sine wave.
The tuned controller held voltage steady between 145 and 150 volts across all three phases and cut total harmonic distortion to 2.11% under standard conditions, settling in 0.07 seconds after disturbances. Under unbalanced and extreme test cases distortion stayed low at 2.50% and 2.85% respectively, both under the 5% target the field aims for. Training data spanned voltage sags of 10 to 25%, swells, and harmonics up to the 13th order, split 70% for training and the rest for validation and testing.
Catalog record
| CREATOR | Suresh Govindasamy, Jaisiva Selvaraj, Rathinam Angamuthu, Tefera Mekonnen Azerefegn |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 65 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |