Designing, Implementing and Analyzing Grid Connected Pv Systems by Particle Swarm Optimization Method

Abstract

Grid-connected photovoltaic (PV), negative intensity, and power devices all share the underlying issues of voltage overshoot, rapid reaction, and lack of control over constant error. Delivers the finest results with general damage as well. The effectiveness of an inverter control strategy for a three-phase grid-connected PV device is discussed in this publication. PV panels, boost converters, DC links, inverters, and resistor-inductor (RL) filters make up the machine, which is connected to the utility grid by power inverters. By optimizing the proportional vital (PI) controller, the suggested technique aims to increase the robustness and good performance of the three-part grid-coupled inverter device. This type of approach seeks to stabilize output edges, voltage, frequency, and energy waves while reducing harmonics and DC input voltage variations. To reduce the inaccuracy of the voltage regulator and cutting-edge regulator schemes inside the inverter device, we tracked the PI controller settings by using a particle swarm optimization (PSO) technique. The Sims Cape Energy Device Toolbox in the MATLAB/Simulink environment (model 2021B) was used to apply machine versions and control approaches. With total harmonic distortion (THD) at source voltage and time values of 0.29% and 2.72%, respectively, and a temporal response time of 0.1853 s, the results demonstrate that the proposed technique performs better than prior research that have been discussed. This PSO-based global optimization PI regulator drastically reduces voltage overshoot by 11.1% when compared to conventional systems, while also slashing the time it takes to attain equilibrium by 32.6%. First-class power control has significantly improved as a result of paying attention to additional input parameters and optimizing input parameters.