The aim of this paper is illustrating and exposing the performance of a Series Active Power Filter (SAPF) with PI controller and Fuzzy controller within simulation and experimental validations. This performance is best manifested in compensating the sags and the swells voltages and in eliminating the harmonic voltage and regulate the terminal voltage of the load by injecting a voltage component in series with source voltage which is increased or decreased from the source voltage, hence, maintaining the load side waveforms as pure sinusoidal. The control method used in this work is not so complex and it is based on a phase locked loop (PLL) that is used to control the active filter. It is valid only in the phase system. The efficiency of the method I suggested is affirmed through simulation results by MATLAB\Simulink® and some prototypes experiments. These results shows the capability of the proposed prototypes

Transitioning from combustion engines to electric motors is essential to reduce CO₂ emissions and combat climate change. This study presents a dynamic hybrid model combining a fuel cell and battery for electric vehicles, emphasizing simplified parameter extraction from battery datasheets. The model integrates two energy storage systems: batteries for electrochemical storage and hydrogen for chemical storage, converted into electricity via a fuel cell stack. This dual approach enables flexible refueling options with electricity or hydrogen. An air compressor in the proton exchange membrane (PEM) fuel cell stack optimizes performance across varying driving conditions. The research aims to minimize fuel cell consumption and enhance energy storage efficiency using Sim Power Systems software. It employs traditional proportional integral derivative (PID) controllers and advanced optimization techniques, including fuzzy and ANFIS, to achieve optimal power distribution between the fuel cell system (FCS) and the energy secondary source (ESS) for specific road scenarios. The proposed ANFIS-based approach demonstrates superior control in balancing energy efficiency and driving dynamics, surpassing both PID and fuzzy logic controllers in key metrics. This innovative closed-loop control system offers a promising solution for hybrid electric vehicles, ensuring optimal performance and energy management.

The increasing integration of fixed-speed squirrel-cage induction generator (SCIG) wind farms is leading to a greater need for reactive power compensation to ensure stable grid integration and proper voltage regulation. In this paper, the impact of a Static Synchronous Compensator (STATCOM) rating on the steady-state and transient operation of a 6 MW SCIG wind farm is analyzed. As opposed to traditional installations where the compensator is placed at the point of common coupling (PCC), in this study, the STATCOM is connected directly to the low-voltage terminal of the wind farm to provide local reactive power compensation to the induction generators. The model is developed to analyze the impact of four STATCOM ratings (1, 2, 3, and 4 MVA) on the system’s behavior at a constant wind speed of 10 m/s and consequently to determine the proper STATCOM rating. The system performance is evaluated based on the following parameters: PCC voltage and current, wind farm active and reactive powers, PCC active and reactive powers, and STATCOM reactive power. The simulation results demonstrate that increasing the STATCOM rating leads to better voltage regulation, lower power demand at the PCC, and improved active power transfer from the wind farm. However, performance improvements become marginal when the STATCOM rating exceeds 3 MVA. The results show that a 3 MVA STATCOM system delivers adequate local reactive power support to operate the 6 MW SCIG wind farm, achieving system performance similar to the 4 MVA configuration without oversizing the converter.