Predictive Control for PV- Water Pumping System based of Interconnected 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...

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Main Authors: Lamouchi Zakaria, Allal Abderrahim, Abderrahmane Khechekhouche, Antonio Marcos de Oliveira Siqueira, Júlio Cesar Costa Campos, Kheireddine Lamamra
Format: Article
Language:English
Published: Universidade Federal de Viçosa (UFV) 2024-01-01
Series:The Journal of Engineering and Exact Sciences
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Online Access:https://periodicos.ufv.br/jcec/article/view/18214
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author Lamouchi Zakaria
Allal Abderrahim
Abderrahmane Khechekhouche
Antonio Marcos de Oliveira Siqueira
Júlio Cesar Costa Campos
Kheireddine Lamamra
author_facet Lamouchi Zakaria
Allal Abderrahim
Abderrahmane Khechekhouche
Antonio Marcos de Oliveira Siqueira
Júlio Cesar Costa Campos
Kheireddine Lamamra
author_sort Lamouchi Zakaria
collection DOAJ
description 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.
format Article
id doaj-art-c2ec866acd3444f18d0ffaadcf04729e
institution Kabale University
issn 2527-1075
language English
publishDate 2024-01-01
publisher Universidade Federal de Viçosa (UFV)
record_format Article
series The Journal of Engineering and Exact Sciences
spelling doaj-art-c2ec866acd3444f18d0ffaadcf04729e2025-02-02T19:54:01ZengUniversidade Federal de Viçosa (UFV)The Journal of Engineering and Exact Sciences2527-10752024-01-0110110.18540/jcecvl10iss1pp18214Predictive Control for PV- Water Pumping System based of Interconnected High Gain Observer Lamouchi Zakaria0Allal Abderrahim1Abderrahmane Khechekhouche2Antonio Marcos de Oliveira Siqueira3Júlio Cesar Costa Campos4Kheireddine Lamamra5Faculty of Technology, University of El-Oued, 3900 El Oued, AlgeriaFaculty of Technology, University of El-Oued, 3900 El Oued, AlgeriaFaculty of Technology, University of El-Oued, 3900 El Oued, AlgeriaUniversidade Federal de Viçosa, BrazilUniversidade Federal de Viçosa, BrazilLaboratory LENT, University of Oum El Bouaghi, Algeria 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. https://periodicos.ufv.br/jcec/article/view/18214Photovoltaic. Incremental conductance. Induction Motor Drive. Water Pump. Conventional control. Deatbeat Predictive Control. Cost function. High gain observer.
spellingShingle Lamouchi Zakaria
Allal Abderrahim
Abderrahmane Khechekhouche
Antonio Marcos de Oliveira Siqueira
Júlio Cesar Costa Campos
Kheireddine Lamamra
Predictive Control for PV- Water Pumping System based of Interconnected High Gain Observer
The Journal of Engineering and Exact Sciences
Photovoltaic. Incremental conductance. Induction Motor Drive. Water Pump. Conventional control. Deatbeat Predictive Control. Cost function. High gain observer.
title Predictive Control for PV- Water Pumping System based of Interconnected High Gain Observer
title_full Predictive Control for PV- Water Pumping System based of Interconnected High Gain Observer
title_fullStr Predictive Control for PV- Water Pumping System based of Interconnected High Gain Observer
title_full_unstemmed Predictive Control for PV- Water Pumping System based of Interconnected High Gain Observer
title_short Predictive Control for PV- Water Pumping System based of Interconnected High Gain Observer
title_sort predictive control for pv water pumping system based of interconnected high gain observer
topic Photovoltaic. Incremental conductance. Induction Motor Drive. Water Pump. Conventional control. Deatbeat Predictive Control. Cost function. High gain observer.
url https://periodicos.ufv.br/jcec/article/view/18214
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