Grey Wolf Optimization Based DC-DC Boost Converter, DC Link Voltage Controller For Grid Tied PV Inverter

This study proposes a control strategy for a PV system that includes a DC-DC boost converter and grid-connected inverter The major purpose of the suggested technique is to enhance power quality of the three-phase grid-connected inverter system by optimizing the proportional-integral (PI) controller. In this scheme, the current controller, voltage regulator, reference signal controller, and boost controller of the three-phase inverter are enhanced with additional PI controllers, tuned using the Grey Wolf Optimization (GWO) algorithm. Results are compared with values obtained using Particle Swarm Optimization (PSO). Comparative analysis of several Maximum Power Point Tracking (MPPT) methods, including Perturb and Observe (P&O), PSO, Hybrid Bee Algorithm (HBA), and Artificial Bee Colony (ABC), is also provided. Experiments demonstrate that the proposed control strategy performs more efficiently with the P&O-based MPPT method, which minimizes error and ensures optimal performance.

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Published
2024-12-20
DOI
https://doi.org/10.1109/iccit64611.2024.11021918
Primary Topic
Photovoltaic System Optimization Techniques
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article
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article

Grey Wolf Optimization Based DC-DC Boost Converter, DC Link Voltage Controller For Grid Tied PV Inverter

M. N. Esmail, Md. Shahid Iqbal, Md. Faiyaj Ahmed Limon, Rhydita Shahrin Upoma et al.
Photovoltaic System Optimization Techniques
article

Grey Wolf Optimization Based DC-DC Boost Converter, DC Link Voltage Controller For Grid Tied PV Inverter

M. N. Esmail, Md. Shahid Iqbal, Md. Faiyaj Ahmed Limon, Rhydita Shahrin Upoma, Fuyad Hasan, Shormila Akter Raki
article en

Abstract

This study proposes a control strategy for a PV system that includes a DC-DC boost converter and grid-connected inverter The major purpose of the suggested technique is to enhance power quality of the three-phase grid-connected inverter system by optimizing the proportional-integral (PI) controller. In this scheme, the current controller, voltage regulator, reference signal controller, and boost controller of the three-phase inverter are enhanced with additional PI controllers, tuned using the Grey Wolf Optimization (GWO) algorithm. Results are compared with values obtained using Particle Swarm Optimization (PSO). Comparative analysis of several Maximum Power Point Tracking (MPPT) methods, including Perturb and Observe (P&O), PSO, Hybrid Bee Algorithm (HBA), and Artificial Bee Colony (ABC), is also provided. Experiments demonstrate that the proposed control strategy performs more efficiently with the P&O-based MPPT method, which minimizes error and ensures optimal performance.

Sylhet Agricultural University (BD)
Affordable and clean energy
Openalex Percentile: Top 83%
Photovoltaic System Optimization Techniques
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