This paper proposes a novel high-gain DC-DC converter that combines a boost converter with various voltage multiplier cells. This non-isolated topology can be optimized to achieve higher voltage gains, which is crucial for applications such as pulse power water electrolyzers, water refineries, and high-voltage testing. Both ideal and non-ideal analyses have been conducted, and the requirements for the converter’s operation in continuous conduction mode are discussed. A key advantage of the proposed topology is its capability to be extended for even higher voltage gains compared to recently suggested topologies. To verify and validate the operating principle of the proposed topology, experimental results from a 200-W prototype are presented.

Linear motors have garnered significant attention in various industrial applications due to their simple structure and capability for direct motion. However, traditional designs of linear motors often face challenges in achieving optimal system performance. This paper introduces a modern structural framework that optimizes force distribution in a segmented linear switched reluctance motor, addressing some of the limitations associated with traditional designs. These types of motors are the most cost-effective electric motors that have gained considerable attention in recent years. The proposed structure leads to improved force distribution and force quality while significantly reducing force ripple effects, resulting in smoother motion. With the enhanced quality of propulsion force and a considerable reduction in force ripple, the proposed structure can be highly beneficial in industrial systems such as electric trains and elevators, and it can compete with other conventional electric motors. The proposed system not only achieves optimal force distribution but also enhances system reliability, allowing the motor to continue functioning in the presence of a fault in one of its phases. Simulation and experimental results confirm the superior performance of the proposed system compared to conventional systems.

This paper addresses the problem of coexistence between smart grid based wireless communication networks and other interfering signals. Particularly, the problem of interfering wireless local area network (WLAN) signals over smart utility networks (SUN) systems is analyzed. We develop a statistical model of the WLAN interferers, which is in turn used in predicting the capacity of SUN systems when affected by several WLAN interferers. Based on this analysis, a framework that promotes the application of an adaptive power control algorithm at the SUN transmitter is developed based on a Lagrangian optimization approach. Our proposed optimization approach involves solving a reduced-complexity algorithm which yields an optimal power allocation for each SUN packet. The results show that an adaptive power control approach results in a significant improvement of the SUN’s network capacity when compared with fixed power transmissions.

Transformerless inverters offer several advantages such as system compactness, lower cost, and lower overall power loss. However, for PV applications, there is a need for a frontal high-gain step-up DC-DC converter to use the transformerless inverter as a grid-tied micro-inverter (μ-inverter). In this paper, a single switching device high gain boost DC-DC converter based on Quadratic Boost Converter (QBC) is used along a 7-level packed-U-cells (PUC) inverter to realize the transformerless μ-inverter. The MPPT uses Perturbs & Observes (P&O) algorithm to control the front-end QBC to extract the maximum power from the PV array. Finite-set model predictive control (FS-MPC) technique is used to control the grid-tied single-phase seven-level PUC inverter using a weighted cost function. In the ideal case, the PUC inverter should deliver the extracted PV power into the grid. This is accomplished automatically by keeping the voltage level of the dc-link capacitor constant. From a control point of view, this means that the front-end QBC and PUC inverter controls are decoupled as they are separated via the dc-link capacitor which must absorb the single-phase oscillating power. A simulation was carried out to validate the performance of the proposed controllers. A grid current THD less than 5% is achieved and a stable operation under various operating conditions is validated with the proposed system. Hardware implementation is under construction and experimental results will be shown in the final paper.

With the significant increase of wireless network nodes and traffic load in recent years, especially in the emerging internet-of-things (IoT) and vehicular networks, the design of a fast adaptive relay selection algorithm that is able to cope with a quickly changing environment became a necessity. In particular, the problem of multiple relay selection and beamforming under individual power constraints is investigated in this paper when the amplify-and-forward protocol is used to forward the data to the destination. The proposed algorithm first performs relay selection and beamforming using iterative convex optimization. The selection decisions are stored and processed before being used by a proposed multi-agent machine-learning (ML) model to imitate with high accuracy the optimal selection decision in real time with much less computational complexity. Simulation results confirm that the performance of the proposed technique is very close to the exhaustive search (ES) and to well known algorithms but with an execution time that is thousands of times shorter than traditional techniques.

This paper proposes a Current Deadbeat Control (DBC) algorithm for a three-phase 9-cells qZS based Cascaded H-Bridge (CHB) inverter to ensure grid current supply with low THD. The studied topology is considered as a single-stage DC/AC topology having the capability of boosting the DC input voltage with high-quality multilevel AC voltage, independent DC-link voltage compensation, and control of the power transfer with high reliability. Moreover, a Repetitive Controller (RC) is connected to the inductor current loop with the aim to reject periodic disturbances (double line-frequency fluctuations). The employed RC has the capability of learning through iterations based on tracking error. During the control, the compensation method uses the error between the DC-link peak voltage reference and the actual value to produce the compensating inductor current reference. Theoretical analysis and simulation results shows that the proposed solution achieves high dynamic performance and reduced cyclical disturbances effects.

This paper presents a hybrid method of active power and reactive power control strategy with Quasi Z-source inverter (QZSI) in single phase grid connected photovoltaic (PV) systems. The maximum power from the PV panel is extracted and most of it is supplied as active power to the grid. The major portion of required reactive power exchange to the grid is done by means of thyristor switched capacitor (TSC) and thyristor switched reactor (TSR) to improve the generation capacity of the PV system. In the proposed topology inverter shares the minimum reactive power and large change in reactive power will be delivered/absorbed by the TSC-TSR to get smoother operation in reactive power control. The DC voltage controller and the AC current controller is discussed in brief. The mathematical analysis for grid synchronization method is presented in detail. The control algorithm for active power and reactive power is analyzed and discussed in the paper. The simulation results are shown for validating the proposed concept.

In this paper, discontinuous space vector pulse width modulation for a five-phase quasi Z-source inverter is presented. Two schemes are introduced for the continuous SVM of five-phase qZSI (SVQ1 & SVQ2) and two schemes of discontinuous SVM (DSVQ1 & DSVQ2) are proposed SVQ1 method is based on subtracting the shoot-through state interval from the zero state interval only. While SVQ2 subtract the shoot-through state interval from all active and zero states intervals. The discontinuous SVQ schemes are based on eliminating one of the zero vectors which will lead to 20% reduction in number of switchings. These schemes are simulated using Matlab/Simulink. An experimental setup is developed to validate and test the proposed schemes.

Quazi Z-Source inverter (qZSI) is a promising inverter topology that can buck or boost input voltage without a DC-DC converter and hence can be used in transformerless configuration. This is a high efficiency solution because of single stage processing and conversion. In this paper a novel modified qZSI topology is proposed and new modulation technique is presented to reduce common mode leakage current that is generally present in non-isolated transformers feeding utility grid. The proposed inverter offers a, high efficiency and a high reliability solution in a single-phase solar photovoltaic system for grid integration. Presented topology, (1) uses phase-leg shoot through for boosting the DC voltage to the required level which eliminates the additional DC-DC converter, (2) eliminates the PWM dead-time and provides freewheeling through additional switches (smoothens output AC grid current), (3) minimizes leakage current, (4) avoids body diode conduction for main devices increasing the efficiency of the system because body diode have poor reverse recovery characteristics, (5) effectively utilizes magnetic components, (6) common mode leakage current will be reduced to 0.2% of the rated current which is negligibly small. Simulation and experimental results are verified for a 120V (peak), 15A (peak) at 0.99pf.

This paper proposes a weighted Real-Time Digital Feedback Control for a grid connected Distributed Generation (DG) system (gas turbines, fuel cells, photovoltaic, wind…). The DG source is connected to the grid through a Power Conditioning Unit (PCU) consisting of a multilevel Flying Capacitors Inverter (FCI), an inductor, and a step-up transformer. The proposed controller is predictive type offering the possibility of furthering the capacitor voltages tracking, load current tracking, or a trade-off between all state variables tracking (capacitor voltages should be controlled in order to ensure a proper operation of the FCI). The Weighted Predictive Controller (WPC) transfers the power to the grid, even under grid voltage variation (sag or swell) due to its Voltage Ride Through (VRT) capability by controlling the current with unity power factor. Theoretical analysis, simulation and experimental results are described in this paper.

PV energy generation has been one of the most active research areas in the past decades due to its inexhaustibility and environmental-friendly aspects. However, the great deal is to utilize the solar energy effectively through power electronics converters (conditioners) to meet the increasing demand for load. This paper proposes an experimental photovoltaic (PV) power conditioning system with line connection. The conditioner consists of a Flying Capacitors Inverter (FCI) feeding an inductive load and connected to the grid through transformer. A hybrid model of the power conditioning system is derived using the electrical equations and verified by a commuted Bond Graph (BG) method. The obtained hybrid model is an explicit standard model valid for all FCI configurations. An original controller based on weighted real-time predictive control technique is designed and its implementation is made simple using the derived hybrid model. The control algorithm transfers the power to the grid by controlling the current with unity power factor. The proposed controller transfers the power to the grid with lower harmonics content. The theoretical analysis, the simulation results and the experimental results are described in this paper.