Survey of Six Maximum Power Point Tracking Algorithms under Standard Test conditions

  • Mohammed Salah Bouakkaz 1Department of Electrical Engineering, Laboratoire d’électrotechnique de Skikda «LES», Université du 20 Août 1955, Skikda 21000, Algeria
  • Ahcene Boukadoum Department of Electrical Engineering, Laboratoire d’électrotechnique de Skikda «LES», Université du 20 Août 1955, Skikda 21000, Algeria
  • Omar Boudebbouz Department of Electrical Engineering, Laboratoire d’électrotechnique de Skikda «LES», Université du 20 Août 1955, Skikda 21000, Algeria
  • Issam Attoui Department of Electrical Engineering, Laboratoire d’électrotechnique de Skikda «LES», Université du 20 Août 1955, Skikda 21000, Algeria
  • Nadir Boutasseta Department of Electrical Engineering, Laboratoire d’électrotechnique de Skikda «LES», Université du 20 Août 1955, Skikda 21000, Algeria
  • Ahmed Bouraiou Unité de Recherche en Energies Renouvelables en Milieu Saharien,URERMS, Centre de Développement des Energies Renouvelables ,CDER, 01000 Adrar, Algeria.
Keywords: Perturb and Observe (P&O), Hill Climbing (HC), Fuzzy Logic (FL), Proportional Integral (PI), Voltage Open Circuit (VOC)

Abstract

In this work, a survey is carried out on six MPPT algorithms which include conventional and artificial intelligence based approaches. Maximum Power Point Tracking (MPPT) algorithms are used in PV systems to extract the maximum power in varying climatic conditions. The following most popular MPPT techniques are being reviewed and studied: Hill Climbing (HC), Perturb and Observe (P&O), Incremental Conductance (INC), Open-Circuit Voltage (OCV), Short Circuit Current (SCC), and Fuzzy Logic Control (FLC). The algorithms are evaluated, analyzed, and interpreted using a Matlab-Simulink environment to show the performance and limitations of each algorithm

Published
2021-06-15
How to Cite
Bouakkaz, M. S., Boukadoum, A., Boudebbouz, O., Attoui, I., Boutasseta, N., & Bouraiou, A. (2021). Survey of Six Maximum Power Point Tracking Algorithms under Standard Test conditions. Algerian Journal of Renewable Energy and Sustainable Development, 3(01), 53-62. Retrieved from https://ajresd.univ-adrar.edu.dz/index.php?journal=AJRESD&page=article&op=view&path[]=112
Issue
Vol 3 No 01 (2021)
Section
Articles

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