MPPT Algorithm Based on Artificial Bee Colony for PV System

Catalina Gonzalez-Castano, Carlos Restrepo, Samir Kouro, Jose Rodriguez

Research output: Contribution to journalArticlepeer-review

Abstract

Energy structures from non-conventional energy source has become highly demanded nowadays. In this way, the maximum power extraction from photovoltaic (PV) systems has attracted the attention, therefore an optimization technique is necessary to improve the performance of solar systems. This article proposes the use of ABC (artificial bee colony) algorithm for the maximum power point tracking (MPPT) of a PV system using a DC-DC converter. The procedure of the ABC MPPT algorithm is using data values from PV module, the P-V characteristic is identified and the optimal voltage is selected. Then, the MPPT strategy is applied to obtain the voltage reference for the outer PI control loop, which in turn provides the current reference to the predictive digital current programmed control. A real-time and high-speed simulator (PLECS RT Box 1) and a digital signal controller (DSC) are used to implement the hardware-in-the-loop system to obtain the results. The general system does not have a high computational cost and can be implemented in a commercial low-cost DSC (TI 28069M). The proposed MPPT strategy is compared to the conventional perturb and observe method, results show the proposed method archives a much superior performance.

Original languageEnglish
Article number9380422
Pages (from-to)43121-43133
Number of pages13
JournalIEEE Access
Volume9
DOIs
Publication statusPublished - 2021

Keywords

  • artificial bee colony
  • hardware in the loop testing
  • Maximum power point tracking
  • photovoltaic system

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

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