A New Improved Variable Step Size Mppt Method For Photovoltaic Systems Using Grey Wolf And Whale Optimization Technique Based Pid Controller
Résumé: In this work, we have developed two new intelligent maximum power point tracking (MPPT) techniques for photovoltaic (PV) solar systems. To optimize the PWM duty cycle driving the DC/DC boost converter, we have used two optimization algorithms namely the whale optimization algorithm (WOA) and grey wolf optimization (GWO) so we can tune the PID controller gains. The oscillation around the MPP and the fail accuracy under fast variable isolation are among the well-known drawbacks of conventional MPPT algorithms. To overcome these two drawbacks, we have formulated a new objective fitness function that includes WOA/GWO based accuracy, ripple, and overshoot. To provide the most relevant variable step size, this objective fitness function was optimized using the two aforementioned optimization algorithms (i.e., WOA and GWO). We have carried out several tests on Solarex MSX-150 panel and DC/DC boost converter based PV systems . In the simulation results section, we can clearly see that the two proposed algorithms perform better than the conventional ones in term of power overshoot, ripple and the response time.
Mots-clès:
Nos services universitaires et académiques
Thèses-Algérie vous propose ses divers services d’édition: mise en page, révision, correction, traduction, analyse du plagiat, ainsi que la réalisation des supports graphiques et de présentation (Slideshows).
Obtenez dès à présent et en toute facilité votre devis gratuit et une estimation de la durée de réalisation et bénéficiez d'une qualité de travail irréprochable et d'un temps de livraison imbattable!
Aucun fichier associé
Si le fichier est volumineux, l'affichage peut échouer. Vous pouvez obtenir le fichier directement en cliquant sur le bouton "Télécharger".
