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Found 17 papers, 0 papers with code
Uncertainty-Aware Artificial Intelligence for Gear Fault Diagnosis in Motor Drives
This paper introduces a novel approach to quantify the uncertainties in fault diagnosis of motor drives using Bayesian neural networks (BNN).
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.
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.
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.
Data-Driven Stability Assessment of Power Electronic Converters with Multi-Resolution Dynamic Mode Decomposition
Harmonic instability occurs frequently in the power electronic converter system.
Impedance Reshaping Method of DFIG System Based on Compensating Rotor Current Dynamic to Eliminate PLL Influence
Thus, the frequency coupling effect can be almost eliminated and the stability of DFIG is improved a lot.
On Power Control of Grid-Forming Converters: Modeling, Controllability, and Full-State Feedback Design
A step-by-step construction and design procedure of the power control of grid-forming converters is also given.
A non-invasive fault location method for modular multilevel converters under light load conditions
The proposed approach of injecting the second-order circulating current will rebuild the bipolar arm current of the MMC and enlarge the capacitor voltage deviations between the healthy and faulty SMs.
Integrating Black Start Capabilities into Offshore Wind Farms by Grid-Forming Batteries
These are gradually replacing conventional thermal power plants which today are the main providers of black start (BS) services.
Multivariable Grid-Forming Converters with Direct States Control
A multi-input multi-output based grid-forming (MIMO-GFM) converter has been proposed using multivariable feedback control, which has been proven as a superior and robust system using low-order controllers.
Power Control of Grid-Forming Converters Based on Full-State Feedback
This paper proposes a full-state feedback control for the power loops of grid-forming converters.
Grid-Forming Inverter-based Wind Turbine Generators: Comprehensive Review, Comparative Analysis, and Recommendations
The control parameters of these GFM types are properly designed and optimized to enable a fair comparison.
Augmentation of Generalized Multivariable Grid-Forming Control for Power Converters with Cascaded Controllers
The classic design of grid-forming control strategies for power converters rely on the stringent assumption of the timescale separation between DC and AC states and their corresponding control loops, e. g., AC and DC loops, power and cascaded voltage and current loops, etc.
Generalized Multivariable Grid-Forming Control Design for Power Converters
The grid-forming converter is an important unit in the future power system with more inverter-interfaced generators.
SOC Estimation of Li-ion Batteries with Learning Rate-Optimized Deep Fully Convolutional Network
In this letter, we train deep learning (DL) models to estimate the state-of-charge (SOC) of lithium-ion (Li-ion) battery directly from voltage, current, and battery temperature values.
Model-Free Voltage Regulation of Unbalanced Distribution Network Based on Surrogate Model and Deep Reinforcement Learning
Accurate knowledge of the distribution system topology and parameters is required to achieve good voltage controls, but this is difficult to obtain in practice.
