Conventional Model Predictive Control (MPC) for Active Neutral Point Clamped (ANPC) converters requires a complex tuning of weighting factors in its multi-objective cost function. This paper proposes a Sequential Predictive Current Control (SPCC) strategy that eliminates the need for such weighting factors, simplifying controller design for reactive power compensation applications. The proposed method employs a two-stage sequential optimization: first, it identifies a candidate subset of switching states that minimizes current tracking error, and second, it selects the optimal state from this subset to ensure DC-link capacitor voltage balancing. The resulting optimal voltage reference is synthesized by a standard Pulse Width Modulation (PWM) stage, which ensures a fixed switching frequency and improves the harmonic spectrum compared to direct MPC methods. This sequential approach decouples the control objectives, offering a simpler and more robust tuning process. Simulation studies validate the strategy, demonstrating excellent reference current tracking and robust voltage balancing while maintaining low harmonic distortion in the source current.

This paper proposes a Sequential Model-Based Predictive Current Control (SMBPC) integrated with Space Vector Modulation (SVM) for reactive power compensation in three-level Neutral Point Clamped (NPC) inverters. The sequential approach optimizes reference current selection and capacitor voltage balance, employing a two-stage cost function to minimize voltage imbalance. Additionally, this work approach obviates the need for weighting factors, as the cost function is not multi-objective, streamlining the optimization process and reducing computational complexity. Simulation studies are provided to show the effectiveness of this proposal demonstrating accurate current reference tracking.

This paper presents a delay-compensated modulated model predictive direct power control (DC-M2PDPC) strategy for grid-connected three-level neutral-point-clamped (3L-NPC) converters. The proposed method integrates power-oriented control, fixed-frequency modulation, and control delay compensation within a predictive control scheme. The DC-M2PDPC strategy achieves fast dynamic response and demonstrates superior steady-state performance in power tracking and DC-link voltage balancing. It also ensures lower harmonic content than conventional methods, even under dynamically varying power conditions, in accordance with the IEEE 519-2022 Standard for Harmonic Control in Electrical Power Systems. These features make it well-suited for grid-tied applications such as wind energy conversion systems (WECS) and photovoltaic (PV) systems.

This paper presents the design and validation of a custom temperature control board tailored for Skipper-CCD sensors that are adaptable to diverse experimental configurations. The board features two galvanically isolated sections: a control section incorporating a Raspberry Pi and essential instrumentation components for measurements and board protections and a power section housing the buck converter with corresponding instrumentation components for enhanced protections and measurements. The seamless integration of these sections ensures robust temperature regulation while providing comprehensive safeguards against potential anomalies. Through meticulous design and rigorous experimental validation, the proposed temperature control board offers reliable and precise thermal management tailored to the specific requirements of Skipper-CCD sensors. Illustrated by its application in the OSCURA experiment, this board is a case example, demonstrating its potential extension to other applications.

Power electronic converters play a pivotal role in integrating renewable energy sources into the grid or standalone electrical power systems by converting and conditioning the generated power, achieving a sustainable future and reducing greenhouse gas emissions. This paper focuses on implementing an asymmetrical cascaded H-bridge multilevel power converter with hybrid modulation for on-grid solar photovoltaic generation systems. Specifically, this paper introduces a predictive current control and reactive power compensation capability. The paper evaluates the efficiency of the proposed system in terms of generated energy quality and the effectiveness of the predictive control strategy.

There are several control techniques for active power filter applications. This paper presents a new alternative of predictive current control for a cascade H-bridge multilevel converter, where the optimal vector selected by the predictive controller is used for a modulation stage to obtain a fixed switching frequency. Simulation results validate the proposal where almost similar results can be obtained in comparison with the traditional methods.