This paper presents a three-phase electric vehicle charger connected to the grid, featuring multiple boost converters on the DC side, specifically designed to ensure smooth, oscillation-free power transfer during unsymmetrical voltage sags. Precise control mechanisms are implemented on the boost converter side to regulate both voltage and current on the electric vehicle side, thereby maintaining optimal charging conditions. The control architecture for both the grid-connected and boost converter components is based on the Lyapunov energy function, which is employed to achieve superior dynamic performance and stability. The system’s robustness and reliability are demonstrated through its ability to maintain stable operation and efficient power transfer despite fluctuations in grid conditions. Furthermore, the implementation of Lyapunov-based control ensures rapid response and minimal energy loss, enhancing the overall efficiency of the system. To validate the effectiveness of this approach, a comprehensive model of the system was developed and tested using MATLAB/Simulink, with detailed computer simulations conducted across various significant case studies.

This paper presents a novel approach to power sharing between direct connected grid-forming converters, utilizing virtual cable impedance and droop-based outer loop control. To enhance stability, resistive droop is implemented, while virtual cable impedance with non-zero resistive and inductive components ensures improved power sharing. The inner loop controller employs a Lyapunov energy function to achieve superior dynamic performance. The proposed control architecture is validated through comprehensive modeling and real-time processor-in-the-loop simulations, demonstrating its robustness and efficiency under various operating conditions. The results highlight the potential of this control strategy to improve the reliability and efficiency of renewable energy systems. Additionally, a comparative analysis with traditional methods underscores the advantages of the proposed approach in terms of stability and performance. The proposed control architecture offers a scalable and flexible solution for grid-forming converters, enabling seamless integration of renewable energy sources. Its robustness and adaptability make it an attractive solution for real-world applications. Furthermore, the approach can be extended to other power electronic systems, enhancing overall system performance and efficiency. By providing a reliable and efficient control strategy, this paper contributes to the advancement of renewable energy systems and their adoption in the energy sector. The proposed control strategy has far-reaching implications for the widespread adoption of renewable energy sources, enabling a more sustainable and efficient energy future. The overall system is modeled in MATLAB/Simulink and PLECS software domain.

This paper presents an innovative wave energy conversion system that integrates an interleaved Cuk converter with advanced nonlinear control for seamless grid integration. The system efficiently extracts power on the DC side using the interleaved Cuk converter, while an inverter manages power transfer to the grid or load on the AC side. A nonlinear control architecture, based on the Lyapunov energy function, ensures stable and optimal operation under varying wave conditions, effectively addressing the challenges of variability and unpredictability inherent in wave energy. The proposed system also incorporates features to enhance power quality and minimize losses, making it a robust solution for renewable energy integration. The system’s effectiveness in harnessing wave energy and achieving smooth grid integration is validated through comprehensive computer simulations in MATLAB/Simulink, with case study results demonstrating its capabilities.

This paper provides a detailed investigation into the application of describing function-based analysis for assessing transformer magnetizing inductance and its impact on system performance. The focus is on a back-to-back modular multilevel converter architecture, designed to interconnect systems operating at different frequencies. The study explores the implementation of a Direct Power Control strategy, examining its effects on transformer magnetizing inductance saturation and offering effective mitigation techniques. Furthermore, the integration of advanced grid support functionalities is highlighted, demonstrating how these enhancements bolster the converter’s ability to improve grid stability and power quality, positioning it as a robust solution for modern power systems. The proposed approach is validated through extensive computer simulations based MAT LAB/Simulink domain, supported by significant case study results, confirming its practical effectiveness.

A photo-voltaic (PV) system based grid-connected current source inverter has been investigated in this paper. In this paper, a photovoltaic (PV) system based grid-connected current source inverter has been investigated. For obtaining the maximum power from the PV system, we have developed a Lyapunov energy function-based control scheme. Operation of the system under unbalanced grid voltage condition has been reported and a methodology to extract maximum power from the PV system is articulated. In addition, to achieve optimal performance of the Lyapunov energy function based power controller, an existing parameter update scheme is employed and an optimal performance of the overall system is achieved. Detailed analysis of the proposed power controller with the feature to operate successfully under unbalanced grid voltage condition has been substantiated and discussed along with the effect of parameter update on the overall control architecture. The proposed system is verified via software simulations in MATLAB/Simulink and PLECS domain and various case study results are presented which corroborate the efficacy of the proposed framework.

The operation and control for a three-phase to three phase grid-connected solid state soft switching transformer based on Lyapunov energy function has been presented in this paper. Soft switching solid state transformer has been reported in various literature for dc−ac, dc−dc and also ac − ac applications. The overall structure of the converter is based on current source inverter type of topology with an intermediate high frequency transformer, thereby making it immensely difficult to control and operate optimally. In this paper, possibility of controlling such a converter based on Lyapunov energy function has been explored for power transfer between two points in an ac power system without intermediate dc link. Lyapunov energy function based control architecture provides global stability and better tracking performance over traditional control architectures. The proposed control architecture is verified via computer simulations based on MATLAB/Simulink and PLECS domain and various case study results are obtained to verify its efficacy.

In this paper, a speed sensing mechanism of a surface mount permanent magnet synchronous machine based on the internal model principle has been presented for an electric vehicle (EV) application. The current controller of the machine has been implemented adopting Lyapunov energy function based analysis so as to achieve global stability over the full range of operations. Performance of the proposed control come estimation architecture has been tested with an electric vehicle based application. The internal model based estimation determines the back emf of the machine and then by simple algebraic manipulations, the speed of the machine is calculated. An LC filter is connected at the machine terminals after the inverter to avoid impressing pulse width modulated voltage on the machine terminals so as to increase the life span of the machine. The proposed control come estimation architecture is verified via computer simulations using MATLAB/Simulink and PLECS domain and various case study results are presented to prove the efficacy of the control systems. Several case studies have been presented for the motoring as well as regenerative braking mode of the EV powertrain system.