The LLC-based single-stage ac/dc converter can achieve zero voltage switching under full load range, which offers a very attractive solution to realize high efficiency, low cost, and extreme compactness of ac/dc power conversion. However, with the introduction of LLC resonant tank in this ac/dc conversion, it becomes very challenging to accurately analyze the steady-state characterization of the converter due to its complex resonant circuit behaviors and time-varying ac input voltage. Although some analysis methods, like first-order harmonics approximation (FHA), extended FHA, and multiharmonic approximation, etc., can be adopted to analyze this converter, they cannot obtain the accurate gain curves, especially when the switching frequency deviates far from the resonant frequency. In this situation, the numerical analysis method is offered to cope with the difficulties resulting from time-varying ac input and dc output fluctuation. A set of equations describing resonant circuit behaviors, power conservation, inductor current, and capacitor voltage are presented. Also, the numerical analysis procedure is given in detail. The numerical calculation results are found that they match with those results in PSIM simulation pretty well. A 1-kW 48-V output prototype is built to verify the effectiveness of the numerical analysis.

Because of their attractive features, switched reluctance motors (SRMs) are strong candidates with real chances on the market for several industrial applications including vehicle propulsion. However, the SRMs suffer from torque ripple and associated acoustic noise. A proper control algorithm can handle torque ripples to an accepted limit. However, the internal faults in stator windings of SRMs deteriorate not only the performance of control algorithm but also the output power, efficiency, and noise (torque ripple). They cause fast degradation of motor lifetime. Therefore, this paper introduces a novel method to counteract the internal faults in winding of SRMs. A new simulation method for SRMs including the capability of interturn faults is introduced. The proposed novel interturn fault tolerant control (FTC) is achieved based on average torque control (ATC) algorithm. The switching angles are optimized smartly providing a less complicated control algorithm to fit properly with the industrial platforms. The simplicity of overall control algorithm is still functional. The performance of proposed FTC is evaluated compared to healthy motor conditions as well as faulty conditions. The results show the superior performance of the proposed control.

This work proposes the techno-economic analysis of a three-phase, three wire grid integrated third-generation perovskite solar cells-wind energy conversion system (PSC-WECS) controlled by a two-level voltage source converter (VSC) which is driven by the application of polynomial zero-attracting least mean square (PZA-LMS) algorithm. The proposed algorithm enhances the dynamic performance of the system by introducing sinusoidal grid currents with low total harmonic distortion (THD) which enhances system performance by providing acceptable outcomes under dynamic loading, fluctuating wind velocity, and solar insolation by compensating for load reactive power and balancing load and power demands at the point of coupling. This work replaces the conventional silicon PVs with PSCs to improve the economics of power generation thanks to their higher efficiency. For relative comparisons, the performance of the proposed 36kWPSC-WECS is compared with the conventional silicon PV-WECS. The results reveal that the proposed system has a low net present cost (NPC) of $68843 compared to the conventional system which costs $160917, translating to a reduction of 58% in total cost. Sensitivity Analysis (SA) is performed to analyse the dependence of optimal solutions on the uncertainty of key variables namely NPC, cost of energy (COE), windspeed & insolation. The results show that the total NPC is more sensitive to the COE and the average wind speed as compared to the other variables. Moreover, the area covered by the proposed system is reduced by 50% while as the cost of power generation is reduced by 72% due to the high efficiency of PSCs. The results obtained in MATLAB/Simulink and HOMER to determine the optimum quantity of the renewable energy sources (RES) model demonstrate the effectiveness of the recommended system.

Negative sequence current compensation (NSCC) is essential to support the imbalanced grid and improving the grid power quality. In medium/high voltage applications, the cascaded H-bridge (CHB) STATCOM is advantageous due to its low voltage stress. However, the injection of negative sequence current causes three-phase imbalanced active power. Although the introduction of zero sequence voltage can transfer this part of active power, CHB’s output voltage will increase accordingly, which restricts the NSCC. To increase the output capacity, the converter with a common DC bus, called power balance unit (PBU), is integrated into the CHB to obtain a hybrid cascaded (HC) structure to freely exchange the imbalanced active power via the common DC bus. In order to achieve the maximum NSCC, it is necessary to minimize CHB’s output voltage in this HC STATCOM. This paper reveals the mathematical relationship between active power, reactive power transferred by PBU and the CHB’s output voltage for the HC STATCOM. On this basis, a novel control strategy is proposed to minimize the CHB’s output voltage by transferring both active and reactive power from PBU. Thus, the range of NSCC is maximized. Finally, the proposed strategy is experimentally verified on a 400V/7.5kVar HC STATCOM platform.

The aim of this work is to build an efficient speed estimate method and a sensorless vector control system for an induction motor (IM) using a promised split-source inverter (SSI) configuration. A more straightforward method for tracking the rotor speed signal based on the motor's phase-axis relationship is derived in detail and processed with a regulated modified space-vector PWM (RMSPWM) technique. The adopted sensorless control system-based SSI is subjected to extensive analysis to ensure its observability, and the findings are corroborated by standard functional test results and parameter adjustments. Moreover, the experimental implementation of the designed SSI prototype is discussed and investigated. The results show the effectiveness of the proposed speed estimation method with the suggested RMSPWM scheme for SSI and its observability and robustness when compared to the conventional modulation topologies.

This study conducts both experimental and statistical analyses of microinverter performance within a compact AC-PV module that integrates a PV panel and a microinverter without battery integration. Using measurement data in combination with correlation analysis, derived thermal indicators, and quadratic regression modeling, the research provides a comprehensive quantitative assessment of microinverter behavior under practical operating conditions. A central finding is that the PV module’s temperature rise above ambient, ΔT_module, serves as the most reliable single predictor of output power with a coefficient of determination of R² = 0.85. The coefficient determination of ΔT_module surpasses even solar irradiance and the microinverter temperature rise, ΔT_micro, with R² = 0.80 and R² = 0.75, respectively. This underscores the excess thermal loading of the module, rather than the absolute temperature alone. In contrast, ambient temperature (R² = 0.04) proves to be a negligible variable for output power prediction. Also, comparing experimental temperatures with semi-empirical models showed that the PV temperature formula captures key thermal behavior, and the difference between theoretical and measured values is around 12%. From a design standpoint, these results highlight that enhancing thermal management at the module–inverter interface can directly improve output stability and ensure battery integration in the long-term reliability of an AC-PV module in future studies.