A Comparative Study of MPPT Techniques for Standalone Hybrid PV-Wind with Power Management - Université de Picardie Jules Verne Accéder directement au contenu
Article Dans Une Revue Lecture notes in Electrical Engineering Année : 2021

A Comparative Study of MPPT Techniques for Standalone Hybrid PV-Wind with Power Management

T. Boutabba
  • Fonction : Auteur
H. Sahraoui
  • Fonction : Auteur
M.L. Bechka
  • Fonction : Auteur
S. Drid
  • Fonction : Auteur

Résumé

In this work a comparative study of maximum power point tracking techniques for a standalone hybrid generation power system with power management is presented, this system comprising a double fed induction generator branch (DFIG) based wind turbine and photovoltaic generator branch compared to the conventional perturbation and observation (P&O) and the incremental conductance algorithms respectively. The fuzzy logic controller is designed to vary the duty-cycle of the DC\textendash DC converter automatically such that to maintain the load voltage constant. MPPT provides a high precision in current transition and keeps the voltage without any changes. In addition, to improve the performance of the hybrid system, a strategy of energy management has been used, as well as the control of the charging and discharging of the battery and the setting of the priority of the load and the control of the secondary charge. The proposed scheme ensures optimal use of the photovoltaic (PV) array and DFIG wind proves its efficacy in variable load conditions, unity and lagging power factor at the inverter output (load) side. A dynamic and steady-state mathematical model and simulations for the entire scheme is presented. The model is implemented in the MATLAB/Simulink platform. \textcopyright 2021, Springer Nature Singapore Pte Ltd.
Fichier non déposé

Dates et versions

hal-03681606 , version 1 (30-05-2022)

Identifiants

Citer

T. Boutabba, H. Sahraoui, M.L. Bechka, S. Drid, L. Chrifi-Alaoui. A Comparative Study of MPPT Techniques for Standalone Hybrid PV-Wind with Power Management. Lecture notes in Electrical Engineering, 2021, 682, pp.93--108. ⟨10.1007/978-981-15-6403-1_7⟩. ⟨hal-03681606⟩

Collections

U-PICARDIE LTI
13 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More