LAPSE:2023.15946
Published Article
LAPSE:2023.15946
Optimal Tradeoff between MPP and Stability of a PV-Based Pumping System
Wahid Souhail, Sameer Alsharif, Irfan Ahmed, Hedi Khammari
March 2, 2023
Abstract
This paper presents a novel algorithm to pick PV-based pumping system operating points that simultaneously achieve maximum delivered power and optimized stability. We present an in-depth analysis of operating point dynamics and shape the PV output current and voltage parameter plans. Accordingly, we draw the power bifurcation diagram with all possible operating points. Our proposed algorithm picks the power operating point midway between two consecutive stable points and far enough from the stability boundary to assure system safety. We validated our methodology successfully by numerical simulation based on speculative evidence using MATCON/MATLAB/SimPowerSystems blocks. In addition, we compared the proposed algorithm with P&O MPPT algorithm, and the results verified the reliability of our proposed algorithm to deliver maximum stable power.
Keywords
bifurcation, maximum power operating point, photovoltaic, stability, water pumping system
Suggested Citation
Souhail W, Alsharif S, Ahmed I, Khammari H. Optimal Tradeoff between MPP and Stability of a PV-Based Pumping System. (2023). LAPSE:2023.15946
Author Affiliations
Souhail W: Laboratory of Automation, Electrical System and Environment (LAESE), National Engineering School of Monastir, Monastir 5019, Tunisia [ORCID]
Alsharif S: Department of Computer Engineering, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
Ahmed I: Department of Electrical Engineering, Higher Colleges of Technology, Ruwais Campus, Abu Dhabi 12389, United Arab Emirates [ORCID]
Khammari H: Laboratory of Automation, Electrical System and Environment (LAESE), National Engineering School of Monastir, Monastir 5019, Tunisia
Journal Name
Energies
Volume
15
Issue
3
First Page
1106
Year
2022
Publication Date
2022-02-02
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15031106, Publication Type: Journal Article
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LAPSE:2023.15946
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https://doi.org/10.3390/en15031106
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