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

<p>When it comes to reducing emissions caused by the generation of electricity, among different renewable energy sources, the solar energy gains prominence, due to its geographical availability, simplicity of implementation, and absence of physical moving parts. However, the performance of photovoltaic systems is dependent on environmental conditions. Depending on temperature and solar irradiation, the photovoltaic (PV) system has an operating point where maximum power can be generated. The techniques that are implemented to find this operating point are the so-called maximum power point tracking (MPPT) algorithms. Since weather conditions are variable in nature, the output voltage of the PV system needs to be regulated to remain equal to the reference. Most of the existing studies focus either on MPPT or on voltage regulation of the PV system. In this paper, the two-stage PV system is implemented so that both MPPT and voltage regulation are achieved simultaneously. Additionally, an improved version of the perturb and observe (P&amp;O) algorithm based on artificial potential fields (APF), called APF-P&amp;O, is presented. According to the results of the simulations carried out in MATLAB/Simulink software, the APF-P&amp;O method is more efficient than the conventional method.</p>
</abstract>

When it comes to reducing emissions caused by the generation of electricity, among different renewable energy sources, the solar energy gains prominence, due to its geographical availability, simplicity of implementation, and absence of physical moving parts. However, the performance of photovoltaic systems is dependent on environmental conditions. Depending on temperature and solar irradiation, the photovoltaic (PV) system has an operating point where maximum power can be generated. The techniques that are implemented to find this operating point are the so-called maximum power point tracking (MPPT) algorithms. Since weather conditions are variable in nature, the output voltage of the PV system needs to be regulated to remain equal to the reference. Most of the existing studies focus either on MPPT or on voltage regulation of the PV system. In this paper, the two-stage PV system is implemented so that both MPPT and voltage regulation are achieved simultaneously. Additionally, an improved version of the perturb and observe (P&O) algorithm based on artificial potential fields (APF), called APF-P&O, is presented. According to the results of the simulations carried out in MATLAB/Simulink software, the APF-P&O method is more efficient than the conventional method.

Sliding Mode Control-Based MPPT and Output Voltage Regulation of a Stand-alone PV System

Power Electronics and Drives

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

When it comes to reducing emissions caused by the generation of electricity, among different renewable energy sources, the solar energy gains prominence, due...

Sliding Mode Control-Based MPPT and Output Voltage Regulation of a Stand-alone PV System

Publicado en línea: 31 ago 2022

Páginas: 159 - 173

Recibido: 28 jun 2022

Aceptado: 30 jul 2022

DOI: https://doi.org/10.2478/pead-2022-0012

Palabras clave
sliding mode control, PV systems, MPPT, APF-P&O, voltage regulation

© 2022 Nelson Luis Manuel et al., published by Sciendo

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

Sliding Mode Control-Based MPPT and Output Voltage Regulation of a Stand-alone PV System

Publicado en línea: 31 ago 2022

Páginas: 159 - 173

Recibido: 28 jun 2022

Aceptado: 30 jul 2022

DOI: https://doi.org/10.2478/pead-2022-0012

Palabras clavesliding mode control, PV systems, MPPT, APF-P&O, voltage regulation

© 2022 Nelson Luis Manuel et al., published by Sciendo

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

Palabras clave
sliding mode control, PV systems, MPPT, APF-P&O, voltage regulation