Predictive Control for PV- Water Pumping System based of Interconnected High Gain Observer

Lamouchi Zakaria; Allal Abderrahim; Abderrahmane Khechekhouche; Antonio Marcos de Oliveira Siqueira; Júlio Cesar Costa Campos; Kheireddine Lamamra

doi:10.18540/jcecvl10iss1pp18214

Auteurs

Lamouchi Zakaria Faculty of Technology, University of El-Oued, 3900 El Oued, Algeria
Allal Abderrahim Faculty of Technology, University of El-Oued, 3900 El Oued, Algeria https://orcid.org/0000-0002-7382-5180
Abderrahmane Khechekhouche Faculty of Technology, University of El-Oued, 3900 El Oued, Algeria https://orcid.org/0000-0002-7278-2625
Antonio Marcos de Oliveira Siqueira Universidade Federal de Viçosa, Brazil https://orcid.org/0000-0001-9334-0394
Júlio Cesar Costa Campos Universidade Federal de Viçosa, Brazil https://orcid.org/0000-0002-9488-8164
Kheireddine Lamamra Laboratory LENT, University of Oum El Bouaghi, Algeria https://orcid.org/0000-0002-9867-8463

DOI :

https://doi.org/10.18540/jcecvl10iss1pp18214

Mots-clés :

Photovoltaic. Incremental conductance. Induction Motor Drive. Water Pump. Conventional control. Deatbeat Predictive Control. Cost function. High gain observer.

Résumé

This article presents a comprehensive evaluation of an integrated photovoltaic (PV) and water pumping system employing both Finite Set Model Predictive Control (FS-MPC) and Deat Beat Predictive Control (DB-MPC) under varying insolation levels (1000 W/m² to 700 W/m²). The system, initially tested at 1000 W/m², rapidly achieves Maximum Power Point Tracking (MPPT), stabilizing PV parameters at the MPP within 0.2 seconds. Notably, DB-MPC demonstrates superior dynamic response and faster settling times compared to conventional methods. The Interconnected High-Gain Observer accurately estimates motor speed, facilitating the attainment of the rated rotor speed in line with the desired reference speed. Transitioning from 1000 W/m² to 700 W/m² insolation, the system exhibits stability in V_pv and rapid I_pv adjustment at MPP. The InC algorithm extends PV array operation, showcasing a decrease in power output to 2204 W at 60% flow rate. These results affirm the efficacy and adaptability of the proposed control strategies in optimizing the performance of the PV-driven water pumping system, offering promising advancements in sustainable energy applications.