Analytical MPPT Control and Comparative Analysis for PV Panel Connected to DC Microgrid


Çelik K., DEMİRTAŞ M., ÖZTÜRK N.

Electric Power Components and Systems, vol.51, no.11, pp.1075-1088, 2023 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 51 Issue: 11
  • Publication Date: 2023
  • Doi Number: 10.1080/15325008.2023.2189759
  • Journal Name: Electric Power Components and Systems
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Business Source Elite, Business Source Premier, Communication Abstracts, Compendex, Environment Index, INSPEC, Metadex, DIALNET, Civil Engineering Abstracts
  • Page Numbers: pp.1075-1088
  • Keywords: PV analytical model, open circuit voltage, MPPT, DC grid, microgrid
  • Gazi University Affiliated: Yes

Abstract

The adoption of photovoltaic (PV) solar systems has been rapidly increasing due to their cost-effectiveness and easy installation. However, the non-linearity of PV panels can hinder their ability to provide maximum power output. To achieve optimal efficiency, it is crucial to track the control point based on irradiance and temperature values. This study proposes an analytical control method that employs the open circuit voltage to track the maximum power point of a PV panel that is connected to a DC microgrid via a DC–DC boost converter. The proposed model considers the temperature effect on both diode saturation current and current generated by irradiance for higher sensitivity. To validate the accuracy of the proposed model, the PV panel installed at the Technopark campus of Gazi University was used for experimentation. The performance indicators, mean absolute percentage error (MAPE) and R2, were calculated to assess the differences between the values calculated from the proposed model and those observed from the experiments. The results indicate an error value of 3.9% and a compatibility of 95.9% based on MAPE and R2, respectively. These findings demonstrate the success of the proposed model.