Design of an Efficient MPPT Topology Based on a Grey Wolf Optimizer-Particle Swarm Optimization (GWO-PSO) Algorithm for a Grid-Tied Solar Inverter Under Variable Rapid-Change Irradiance DOI Creative Commons
Salma Taha,

Zuhair S. Al-Sagar,

Mohammed Abdulla Abdulsada

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(8), P. 1997 - 1997

Published: April 13, 2025

A grid-tied inverter needs excellent maximum power point tracking (MPPT) topology to extract the energy from PV panels regarding creation. An efficient MPPT ensures that grid codes are met, maintains quality and system reliability, minimizes losses, suppresses rapid response fluctuations due solar irradiance. Moreover, appropriate enhances economic returns by increasing royalties high with reduced harmonic distortion. For these reasons, an improved hybrid technique for a is presented based on particle swarm optimization (PSO) grey wolf optimizer (GWO-PSO) achieve objectives. The proposed method tested under MATLAB/Simulink 2024a 100 kW array connected boost converter link voltage source (VSC). simulation results show GWO-PSO can reduce overshoot rise time along settling time, meaning less wasted within system. suggested compared PSO, GWO, horse herd (HHO) different weather conditions. other algorithms respond more slowly exhibit higher overshoot, which be counterproductive. These comparisons validate as accurate, demonstrating it enhance real transferred grid.

Language: Английский

Design of an Efficient MPPT Topology Based on a Grey Wolf Optimizer-Particle Swarm Optimization (GWO-PSO) Algorithm for a Grid-Tied Solar Inverter Under Variable Rapid-Change Irradiance DOI Creative Commons
Salma Taha,

Zuhair S. Al-Sagar,

Mohammed Abdulla Abdulsada

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(8), P. 1997 - 1997

Published: April 13, 2025

A grid-tied inverter needs excellent maximum power point tracking (MPPT) topology to extract the energy from PV panels regarding creation. An efficient MPPT ensures that grid codes are met, maintains quality and system reliability, minimizes losses, suppresses rapid response fluctuations due solar irradiance. Moreover, appropriate enhances economic returns by increasing royalties high with reduced harmonic distortion. For these reasons, an improved hybrid technique for a is presented based on particle swarm optimization (PSO) grey wolf optimizer (GWO-PSO) achieve objectives. The proposed method tested under MATLAB/Simulink 2024a 100 kW array connected boost converter link voltage source (VSC). simulation results show GWO-PSO can reduce overshoot rise time along settling time, meaning less wasted within system. suggested compared PSO, GWO, horse herd (HHO) different weather conditions. other algorithms respond more slowly exhibit higher overshoot, which be counterproductive. These comparisons validate as accurate, demonstrating it enhance real transferred grid.

Language: Английский

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