9 papers
Synapse-Inspired Energy Networks: A Neuromorphic Approach to Microgrid Protection without Communication Links
Saurabh Prabhakar, Bijaya Ketan Panigrahi, Frede Blaabjerg +1
Traditional protection systems for microgrids, which rely on high fault currents and continuous communication, struggle to keep up with the changing dynamics and cybersecurity conc…
Full-Time-Scale Power Management Strategy for Hybrid AC/DC/DS Microgrid with Dynamic Concatenation and Autonomous Frequency / Voltage Restorations
Qingzuo Meng, Pengfeng Lin, Yujie Wang +4
Hybrid AC/DC microgrids with distributed energy storage (DS) improve power reliability in remote areas. Existing power management methods either focus on steady-state power sharing…
Physics-Informed Neural Network for Parameter Identification: a Buck Converter Case Study
Shuyu Ou, Subham Sahoo, Ariya Sangwongwanich +5
System-level condition monitoring methods estimate the electrical parameters of multiple components in a converter to assess their health status. The estimation accuracy and variat…
Uncertainty-Aware Artificial Intelligence for Gear Fault Diagnosis in Motor Drives
Subham Sahoo, Huai Wang, Frede Blaabjerg
This paper introduces a novel approach to quantify the uncertainties in fault diagnosis of motor drives using Bayesian neural networks (BNN). Conventional data-driven approaches us…
Stability-Oriented Prediction Horizons Design of Generalized Predictive Control for DC/DC Boost Converter
Yuan Li, Subham Sahoo, Sergio Vazquez +3
This paper introduces a novel approach in designing prediction horizons on a generalized predictive control for a DC/DC boost converter. This method involves constructing a closed-…
A Data-Driven Condition Monitoring Method for Capacitor in Modular Multilevel Converter (MMC)
Shuyu Ou, Mahyar Hassanifar, Martin Votava +5
The modular multilevel converter (MMC) is a topology that consists of a high number of capacitors, and degradation of capacitors can lead to converter malfunction, limiting the ove…