Enhanced PSO Techniques for MPPT in Partially Shaded PV Systems: A Mathematical Exploration & Performance Assessment
Article No.: 118, Pages 1 - 8
Abstract
In the realm of solar photovoltaic (PV) systems, extracting the utmost energy under varied conditions remains a significant challenge, especially under partial shading scenarios. This paper delves into the mathematical modeling and analysis of an improved Particle Swarm Optimization (PSO) based Maximum Power Point Tracking (MPPT) system tailored for PV arrays under partial shading conditions. Traditional MPPT techniques often falter under partial shading, resulting in multiple local maximum power points, thereby decreasing the efficiency of the system. Our work introduces a novel and robust PSO algorithm that discerns the global maximum point with higher precision and swifter convergence, ensuring that the PV system operates at its maximum possible efficiency. Through rigorous mathematical modeling, we demonstrate the efficacy and superiority of our approach over conventional MPPT methods. The analyses underscore the adaptability of the improved PSO-based MPPT, making it a promising solution for optimizing energy extraction in real-world solar PV systems affected by inevitable shading conditions.
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Published In
November 2023
1215 pages
ISBN:9798400709418
DOI:10.1145/3647444
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Published: 13 May 2024
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ICIMMI 2023: International Conference on Information Management & Machine Intelligence
November 23 - 25, 2023
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