activity
20162026
most citedVoltage Estimation for Diode-Clamped MMC Using Compensated State-Space Model

3 citations · 6 across the 11 of their papers we have counts for

collaborators

11 papers

eess.SP2026

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…

eess.SY2026

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…

eess.SP2025

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…

eess.SY2024

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…

eess.SY2024

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-…

eess.SP2024★ 1 cited

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…

eess.SP2024

Data-Driven Stability Assessment of Power Electronic Converters with Multi-Resolution Dynamic Mode Decomposition

Rui Kong, Subham Sahoo, Yongjie Liu +1

Harmonic instability occurs frequently in the power electronic converter system. This paper leverages multi-resolution dynamic mode decomposition (MR-DMD) as a data-driven diagnost…

eess.SY2024

A Gray-Box Stability Analysis Mechanism for Power Electronic Converters

Rui Kong, Subham Sahoo, Yubo Song +1

This paper proposes a gray-box stability analysis mechanism based on data-driven dynamic mode decomposition (DMD) for commercial grid-tied power electronics converters with limited…

eess.SP2024★ 2 cited

Semiconductor Devices Condition Monitoring Using Harmonics in Inverter Control Variables

Shuyu Ou, Ariya Sangwongwanich, Subham Sahoo +1

The health status of power semiconductor devices in power converters is important but difficult to monitor. This paper analyzes the relationship between harmonics in inverter contr…

eess.SY2023★ 3 cited

Voltage Estimation for Diode-Clamped MMC Using Compensated State-Space Model

N. Tashakor, Y. Zhang, S. Banana +2

Modular multilevel converters are wellknown in the energy sector and have significant potential in others, such as electromobility. Generally, their stable operation is at the expe…

eess.SY2016

Impact of Grid Impedance Variations on Harmonic Emission of Grid-Connected Inverters

Bakhtyar Hoseinzadeh, Claus Leth Bak

This paper addresses harmonic magnification due to resonance circuits resulting from interaction between uncertain grid impedance and converter. The source of harmonic may be eithe…