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

• Autor(a) principal: Zakaria, Lamouchi
• Data de Publicação: 2024
• Outros Autores: Abderrahim, Allal, Khechekhouche, Abderrahmane, Siqueira, Antonio Marcos de Oliveira, Campos, Júlio Cesar Costa, Lamamra, Kheireddine
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: The Journal of Engineering and Exact Sciences
• Texto Completo: https://periodicos.ufv.br/jcec/article/view/18214
• topic: Photovoltaic. Incremental conductance. Induction Motor Drive. Water Pump. Conventional control. Deatbeat Predictive Control. Cost function. High gain observer.

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 Vpv and rapid Ipv 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.