EconPapers    
Economics at your fingertips  
 

Hardware-in-the-Loop to Test an MPPT Technique of Solar Photovoltaic System: A Support Vector Machine Approach

Catalina González-Castaño, James Marulanda, Carlos Restrepo, Samir Kouro, Alfonso Alzate and Jose Rodriguez
Additional contact information
Catalina González-Castaño: Facultad de Ingeniería, Ingeniería Mecatrónica de la Universidad Manuela Beltrán, Bogotá 110231, Colombia
James Marulanda: Departamento de Ingeniería Eléctrica de la Universidad Tecnológica de Pereira, Pereira 660001, Colombia
Carlos Restrepo: Department of Electromechanics and Energy Conversion, Universidad de Talca, Curicó 3340000, Chile
Samir Kouro: Electronics Engineering Department, Universidad Técnica Federico Santa María, Valparaíso 2390123, Chile
Alfonso Alzate: Departamento de Ingeniería Eléctrica de la Universidad Tecnológica de Pereira, Pereira 660001, Colombia
Jose Rodriguez: Department of Engineering Sciences, Universidad Andres Bello, Santiago 7500971, Chile

Sustainability, 2021, vol. 13, issue 6, 1-16

Abstract: This paper proposes a new method for maximum power point tracking (MPPT) of the photovoltaic (PV) system while using a DC-DC boost converter. The conventional perturb and observe (P&O) method has a fast tracking response, but it presents oscillation around the maximum power point (MPP) in steady state. Therefore, to satisfy transient and steady-state responses, this paper presents a MPPT method using support vector machines (SVMs). The use of SVM will help to improve the tracking speed of maximum power point of the PV system without oscillations near MPP. A boost converter is used to implement the MPPT method, where the input voltage of the DC-DC converter is regulated using a double loop where the inner loop is a current control that is based on passivity. The MPPT structure is validated by hardware in the loop, a real time and high-speed simulator (PLECS RT Box 1), and a digital signal controller (DSC) are used to model the PV system and implement the control strategies, respectively. The proposed strategy presents low complexity and it is implemented in a commercial low-cost DSC (TI 28069M). The performance of the MPPT proposed is presented under challenging experimental profiles with solar irradiance and temperature variations across the panel. In addition, the performance of the proposed method is compared with the P&O method, which is traditionally most often used in MPPT under demanding tests, in order to demonstrate the superiority of the strategy presented.

Keywords: maximum power point tracking; photovoltaic system; support vector machines; current control based on passivity; hardware in the loop testing (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/13/6/3000/pdf (application/pdf)
https://www.mdpi.com/2071-1050/13/6/3000/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:13:y:2021:i:6:p:3000-:d:513898

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jsusta:v:13:y:2021:i:6:p:3000-:d:513898