<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The Improved Z-Source Inverter (IZSI) has gained attention in the photovoltaic industry for its ability to boost PV voltage with a single-stage topology, simplifying system design and reducing costs. However, research on integrating IZSI into PV systems, particularly regarding the Maximum Power Point Tracker (MPPT) and IZSI control strategy, is limited. This study proposes an Intelligent Improved Particle Swarm Optimization (IPSO) algorithm as an MPPT method for PV systems under constant and varying irradiance conditions. The IPSO algorithm is compared to the FPA, CSA, and traditional MPPT algorithm (PSO), and the results demonstrate that IPSO outperforms all algorithms in terms of speed, efficiency, and convergence in finding the Maximum Power Point (MPP). Two methods, Simple Boost Control (SBC) and Maximum Constant Boost Control with Third Harmonic Injection (THIMCBC), are employed to control IZSI. Simulation results using MATLAB-Simulink show that both strategies successfully find and track the MPP, but THIMCBC exhibits superior voltage-boosting performance compared to SBC. Overall, the proposed IZSI topology with the IPSO MPPT method and THIMCBC IZSI control strategy offers several advantages, including improved voltage boost ability, reduced z-source capacitor voltage stress, inherent inrush current limitation, and cost-effectiveness. These advantages make the proposed system a promising solution for photovoltaic systems.</p>
</abstract>

The Improved Z-Source Inverter (IZSI) has gained attention in the photovoltaic industry for its ability to boost PV voltage with a single-stage topology, simplifying system design and reducing costs. However, research on integrating IZSI into PV systems, particularly regarding the Maximum Power Point Tracker (MPPT) and IZSI control strategy, is limited. This study proposes an Intelligent Improved Particle Swarm Optimization (IPSO) algorithm as an MPPT method for PV systems under constant and varying irradiance conditions. The IPSO algorithm is compared to the FPA, CSA, and traditional MPPT algorithm (PSO), and the results demonstrate that IPSO outperforms all algorithms in terms of speed, efficiency, and convergence in finding the Maximum Power Point (MPP). Two methods, Simple Boost Control (SBC) and Maximum Constant Boost Control with Third Harmonic Injection (THIMCBC), are employed to control IZSI. Simulation results using MATLAB-Simulink show that both strategies successfully find and track the MPP, but THIMCBC exhibits superior voltage-boosting performance compared to SBC. Overall, the proposed IZSI topology with the IPSO MPPT method and THIMCBC IZSI control strategy offers several advantages, including improved voltage boost ability, reduced z-source capacitor voltage stress, inherent inrush current limitation, and cost-effectiveness. These advantages make the proposed system a promising solution for photovoltaic systems.

Enhancing PV Systems with Intelligent MPPT and Improved control strategy of Z-Source Inverter

Power Electronics and Drives

This work is licensed under the Creative Commons Attribution 4.0 International License.

The Improved Z-Source Inverter (IZSI) has gained attention in the photovoltaic industry for its ability to boost PV voltage with a single-stage topology,...

Enhancing PV Systems with Intelligent MPPT and Improved control strategy of Z-Source Inverter

Data publikacji: 12 gru 2023

Zakres stron: 1 - 20

Otrzymano: 28 lip 2023

Przyjęty: 13 paź 2023

DOI: https://doi.org/10.2478/pead-2024-0001

Słowa kluczowe
Photovoltaic Systems, improved ZSI, IPSO, THIMCBC

© 2024 Fares Bettahar et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Enhancing PV Systems with Intelligent MPPT and Improved control strategy of Z-Source Inverter

Data publikacji: 12 gru 2023

Zakres stron: 1 - 20

Otrzymano: 28 lip 2023

Przyjęty: 13 paź 2023

DOI: https://doi.org/10.2478/pead-2024-0001

Słowa kluczowePhotovoltaic Systems, improved ZSI, IPSO, THIMCBC

© 2024 Fares Bettahar et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Słowa kluczowe
Photovoltaic Systems, improved ZSI, IPSO, THIMCBC