Comparative study of MPPT control algorithms of a PV system: Modeling and simulation

Authors

  • Rachid Taleb University of Chlef
  • Ismail Bouyakoub
  • Fayçal Mehedi

Keywords:

Perturbation and observation (P&O) algorithm, Incrementation of Conductance (INC), Maximum power point tracking (MPPT), Photovoltaic (PV) system, Boost converter

Abstract

The proper operation of a photovoltaic installation depends on meteorological conditions such as lighting and temperature, in fact, for example in a mobile station supplied by a photovoltaic source, the power delivered by the PV generator undergoes fluctuations during the change of direction or during passage in poorly sunny places. In other words, a good photovoltaic installation is one where the power delivered by the photovoltaic generator is maximum whatever the conditions of use. In this document, we first presented generalities on the PV system, then we proceeded to model the PV panel and we used several techniques of MPPT control namely P&O and we found that it presents that this method still presents drawbacks require improvement for this we have introduced neural networks in order to limit the drawbacks of the P&O method, Finally, we made a comparison between the two techniques presented and analyzed.

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Published

2021-02-11

How to Cite

Taleb, R., Bouyakoub, I., & Mehedi, F. (2021). Comparative study of MPPT control algorithms of a PV system: Modeling and simulation. IKSP Journal of Emerging Trends in Basic and Applied Sciences, 1(1). Retrieved from https://iksp.org/journals/index.php/ijetbas/article/view/101