Mathematical Modeling and Analysis of an Improved PSO-CSA Hybrid Maximum Power Point Tracking System for Partially Shaded Solar PV Systems

Abstract

This research paper presents a mathematical model and analysis of an Improved Particle Swarm Optimization (PSO) and Cuckoo Search Algorithm (CSA) hybrid Maximum Power Point Tracking (MPPT) system for partially shaded solar PV systems. The proposed hybrid MPPT system aims to overcome challenges in tracking the global maximum power point (MPP) under partial shading conditions. The paper discusses the significance of MPPT techniques in solar PV systems, particularly under partial shading conditions, and the motivation for developing an improved MPPT algorithm using the hybrid PSO-CSA approach. The performance of the proposed hybrid MPPT system is assessed through simulation and experimentation, demonstrating its robustness and superior performance compared to conventional MPPT techniques. The results validate the efficiency and practicality of the proposed hybrid approach, emphasizing its potential for real-world implementation and advancement in renewable energy systems.