Intelligent adaptive PSO and linear active disturbance rejection control: A novel reinitialization strategy for partially shaded photovoltaic-powered battery charging
Küçük Resim Yok
Tarih
2025
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Pergamon-Elsevier Science Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This study aims at enhancing the performance of Conventional Particle Swarm Optimizer (CPSO) to maximize the efficiency of solar photovoltaic-powered battery chargers under partial shading (PS) conditions, making it appropriate for several applications such as wheelchairs, and electric vehicles. To address this issue, The Adaptive Particle Swarm Optimizer (APSO) strategy is used in this work. It selects weight factors based on adaptive inertia, uses reinitialization techniques to find variant global maximum peak (GMP), and modifies learning factors to maximize the speed and accuracy of CPSO convergence. The reference voltage output from APSO was then tracked using the Linear Active Disturbance Rejection Control (LADRC). The LADRC improves the maximum power point tracking (MPPT) technique's anti-interference capability against multiple external disturbances and speeds up the system's response time. The simulation and experiment findings demonstrate that hybrid APSO-LADRC overcomes the drawbacks of CPSO, offering better performance for tracking GMP effectively with less oscillations and shorter convergence time compared to CPSO, grasshopper optimization (GHO), incremental conductance (INC) and perturb & observe (P&O) during dynamic and static PS. The results demonstrate that the proposed APSOLADRC's efficiency reaches a level greater than 99 % even in PS, and it additionally demonstrates a faster rate of convergence and less oscillations in power during the entire tracking procedure. Furthermore, the PV system's robust performance highlights its capability to reliably charge batteries in applications like wheelchairs and electric vehicles, ensuring uninterrupted operation and energy efficiency even in challenging shading scenarios.
Açıklama
Anahtar Kelimeler
Photovoltaic, Battery charger, Adaptive particle swarm, Partial shading, Wheelchairs, Static and dynamic environments
Kaynak
Computers & Electrical Engineering
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
123
