Considering the aforementioned disadvantages of the inverter, in this study, a quasi-impedance source inverter (Q-ZSI) with shoot-through capability was used for power conversion.
To reduce the THDs of the inverter and improve control, we propose a hybrid optimization algorithm that combines the benefits of a genetic algorithm (GA) and particle swarm optimization (PSO). The
Abstract: Grid-connected photovoltaic systems require a control technique to minimize the Total Harmonic Distortion (THD) in current and voltage. In this work, the Proportional Integral (PI)
The main objective of the proposed strategy is to improve the power quality performance of the three-phase grid-connected inverter system by optimising the proportional-integral (PI) controller.
Particle Swarm Optimization (PSO) algorithm has been used to improve the controller performance by automatically finding its parameters in order to reduce the error in the proportional
In this research, based on a PI (proportional integral) regulator, we present an improved MPPT P&O algorithm for solar current regulation and energy efficiency.
The Artificial Eco system algorithm proves to be effective in determining the optimal settings for the current controller, voltage regulators, and PI controller of a three-phase inverter.
Ultimately, the optimized FLC-PI control approach enhances voltage stability, improves power quality, and boosts the overall efficiency of grid-connected PV systems.
The PSO algorithm is used to search for the optimum values of the PI controller parameters in order to provide an effective controller and better switching state for an inverter.
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