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Found 14 papers, 0 papers with code
Stability-Oriented Prediction Horizons Design of Generalized Predictive Control for DC/DC Boost Converter
This paper introduces a novel approach in designing prediction horizons on a generalized predictive control for a DC/DC boost converter.
A Data-Driven Condition Monitoring Method for Capacitor in Modular Multilevel Converter (MMC)
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 overall system lifetime.
Data-Driven Stability Assessment of Power Electronic Converters with Multi-Resolution Dynamic Mode Decomposition
Harmonic instability occurs frequently in the power electronic converter system.
A Gray-Box Stability Analysis Mechanism for Power Electronic Converters
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 information on its control parameters and topology.
Semiconductor Devices Condition Monitoring Using Harmonics in Inverter Control Variables
The health status of power semiconductor devices in power converters is important but difficult to monitor.
Neuromorphic Event-Driven Semantic Communication in Microgrids
Synergies between advanced communications, computing and artificial intelligence are unraveling new directions of coordinated operation and resiliency in microgrids.
A Monolithic Cybersecurity Architecture for Power Electronic Systems
This unified approach concurrently compensates for the intrusion challenges posed by cyber attacks by reconstructing signals using the dynamics of the inner control layer.
Delay-Aware Semantic Sampling in Power Electronic Systems
In power electronic systems (PES), attacks on data availability such as latency attacks, data dropouts, and time-synchronization attacks (TSAs) continue to pose significant threats to both the communication network and the control system performance.
Chasing the Intruder: A Reinforcement Learning Approach for Tracking Intruder Drones
Our proposed solution uses computer vision techniques interleaved with the policy learning framework of reinforcement learning to learn a control policy for chasing the intruder drone.
Digital Twins for Moving Target Defense Validation in AC Microgrids
Cyber-physical microgrids are vulnerable to stealth attacks that can degrade their stability and operability by performing low-magnitude manipulations in a coordinated manner.
Impact Assessment of Data Integrity Attacks in MVDC Shipboard Power Systems
The development of power electronics-based medium voltage direct current (MVDC) networks has revolutionized the marine industry by enabling all-electric ships (AES).
Atomic Anatomy of Low-Inertia Power Systems
In this article, we determine a fundamental anatomical modeling parallelism between low-inertia power systems and Bohr's atomic model.
Optimizing a Digital Twin for Fault Diagnosis in Grid Connected Inverters -- A Bayesian Approach
In this paper, a hyperparameter tuning based Bayesian optimization of digital twins is carried out to diagnose various faults in grid connected inverters.
A Robust and Explainable Data-Driven Anomaly Detection Approach For Power Electronics
Timely and accurate detection of anomalies in power electronics is becoming increasingly critical for maintaining complex production systems.
