Autonomous Inverter Controls for Resilient and Secure Grid Operation: Vector Control Design for Grid Forming
- Univ. of Central Florida, Orlando, FL (United States)
The project addresses both fundamental and practical challenges of GFM/GFL inverter control for the power grids with high inverter based resources (IBRs) penetration. A data- driven modeling technique is applied to accurately model dynamics of PWM inverters, including electromagnetic-transient (EMT). Systematic and integrative designs of grid- forming (GFM) and grid-following (GFL) primary controls are developed to guarantee system performance under either normal or abnormal operating conditions without violating constraints. This modeling and control framework provides black-start capability in case of an outage without relying on rotating generators, and its secondary control is also shown to enhance resilience against cyber-physical attacks.
- Research Organization:
- Univ. of Central Florida, Orlando, FL (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
- DOE Contract Number:
- EE0009028
- OSTI ID:
- 2481660
- Report Number(s):
- DE-EE--0009028-Final-Report
- Country of Publication:
- United States
- Language:
- English
Similar Records
Fault Contribution of Grid-Following and Grid-Forming Inverters Considering Generic Inverter Controls and Ride-through Requirements
Resilient Inverter-Driven Black Start with Collective Parallel Grid-Forming Operation
Resilient Inverter-Driven Black Start with Collective Parallel Grid-Forming Operation: Preprint
Conference
·
Mon Dec 30 23:00:00 EST 2024
·
OSTI ID:2567014
Resilient Inverter-Driven Black Start with Collective Parallel Grid-Forming Operation
Conference
·
Wed Mar 22 00:00:00 EDT 2023
·
OSTI ID:1973682
Resilient Inverter-Driven Black Start with Collective Parallel Grid-Forming Operation: Preprint
Conference
·
Mon Dec 19 23:00:00 EST 2022
·
OSTI ID:1906867
Related Subjects
14 SOLAR ENERGY
Grid forming (GFM)
Hammerstein-Wiener photovoltaic (HWPV) model
RTU attacks
and denial-of-service attacks.
attenuation of EMT
data-driven modeling
electromagnetic-transient (EMT)
false data injection attacks
grid following (GFL)
integrative design of GFM and GFL controls
machine learning and AI
resilience against cyber attacks
software defined inverters
unified control framework
Grid forming (GFM)
Hammerstein-Wiener photovoltaic (HWPV) model
RTU attacks
and denial-of-service attacks.
attenuation of EMT
data-driven modeling
electromagnetic-transient (EMT)
false data injection attacks
grid following (GFL)
integrative design of GFM and GFL controls
machine learning and AI
resilience against cyber attacks
software defined inverters
unified control framework