Intelligent online controller for inverter based resources
US12107509B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 29, 2023 |
| Grant date | Oct 1, 2024 |
| Priority date | — |
| Expiry date | Sep 29, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH02J3/381
- WIPO fieldElectrical machinery, apparatus, energy
- WIPO sectorElectrical engineering
Abstract
Systems and methods for the control and operation of a grid-connected converter with an energy storage system are provided. The system can include a small microgrid comprising an AC grid that is feeding a DC load through a converter. The converter is connected to the AC grid through an R-L filter. The classical linear controllers have limitations due to their slow transient performance and low robustness against parameter variations and load disturbances. In certain embodiments, the transient and steady state responses of the provided artificial intelligence based Robust Artificial Neural Network Tracking Control (RANNTC) of three-phase grid-connected power converters has been shown to be more enhanced in terms of overshoot (24% lower), settling time (85% reduced), and total harmonic distortion (THD) (55% lower).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.