2024
- Power System Frequency Dynamics Modeling, State Estimation, and Control using Neural Ordinary Differential Equations (NODEs) and Soft Actor-Critic (SAC) Machine Learning Approaches. ACM SIGAPP Applied Computing Review 24 (1), 2024, 24-39 mehr…
- Neural Network-Based Dynamic State Estimation for Fast Frequency Support Using Energy Storage Systems. 2024 IEEE Electrical Energy Storage Application and Technologies Conference (EESAT), IEEE, 2024 mehr…
- Integrated Voltage and Frequency Support in Microgrids Using Droop and Model Predictive Control with Energy Storage Systems. 2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), IEEE, 2024, 141-146 mehr…
- Data-Driven Modeling of Commercial Off-the-Shelf Photovoltaic Inverters Using Neuromancer. 2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), IEEE, 2024, 135-140 mehr…
- Data-Driven Modeling of Grid-Forming Inverter Dynamics Using Power Hardware-in-the-Loop Experimentation. IEEE Access 12, 2024, 52267-52281 mehr…
- A Physics-Informed Neural Network Modeling Approach for Energy Storage-Based Fast Frequency Support in Microgrids. 2024 IEEE Electrical Energy Storage Application and Technologies Conference (EESAT), IEEE, 2024 mehr…
- Frequency Security Index-Based State of Health Monitoring of a Microgrid Using Energy Storage Systems. 2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), IEEE, 2024, 229-234 mehr…
2023
- Automated Data–Driven Model Extraction and Validation of Inverter Dynamics with Grid Support Function. e-Prime - Advances in Electrical Engineering, Electronics and Energy 6, 2023, 100365 mehr…
- Smooth Mathematical Representation of the DER_A Aggregated Model. IEEE Access 11, 2023, 101398-101408 mehr…