Results 61 to 70 of about 307 (135)

Adaptive particle swarm optimization based model predictive control MPPT algorithm for PV systems under partial shading conditions

Results in Engineering
High step-up DC/DC converter and the Maximum Power Point Tracking (MPPT) technique is more critical for photovoltaic (PV) systems to extract the Maximum Power Point (MPP) from PV systems due to variations in climate conditions.
Haider Alhusseini, Layth Mohammed Abdali, Hayder Abdulsahib Issa, Vladimir I. Velkin   +3 more
doaj   +1 more source

GMPP Estimator as a Global Solution for MPPT Algorithms Under Partial Shading Conditions

IEEE Open Journal of the Industrial Electronics Society
The power versus voltage curve of a photovoltaic (PV) panel exhibits several maximum power points (MPPs) in a partial shading (PS) condition. Thus, it remains an optimization challenge to ensure that PV systems operate at their global MPP (GMPP ...
Reza Sangrody, Shamsodin Taheri, Ana-Maria Cretu, Edris Pouresmaeil, Hani Vahedi   +4 more
doaj   +1 more source

Multi-Peak Photovoltaic Maximum Power Point Tracking Method Based on Honey Badger Algorithm Under Localized Shading Conditions

Energies
The P-V and I-V curves of photovoltaic (PV) strings show multiple peaks when exposed to partial shading conditions (PSCs). The traditional maximum power point tracking (MPPT) method cannot track the global maximum power point (GMPP) due to the multi-peak
Qianjin Gui, Lei Wang, Chao Ding, Wenfa Xu, Xiaoyang Li, Feilong Yu, Haisen Wang   +6 more
doaj   +1 more source

Transfer Learning Fractional-Order Recurrent Neural Network for MPPT Under Weak PV Generation Conditions

Fractal and Fractional
Photovoltaic generation systems (PVGSs) face significant efficiency challenges under partial shading conditions and rapidly changing irradiance due to the limitations of conventional maximum power point tracking (MPPT) methods.
Umair Hussan, Mudasser Hassan, Umar Farooq, Huaizhi Wang, Muhammad Ahsan Ayub   +4 more
doaj   +1 more source

A novel MPPT technology based on dung beetle optimization algorithm for PV systems under complex partial shade conditions

Scientific Reports
Solar power is a renewable energy source, and its efficient development and utilization are important for achieving global carbon neutrality. However, partial shading conditions cause the output of PV systems to exhibit nonlinear and multipeak ...
Chunliang Mai, Lixin Zhang, Xuewei Chao, Xue Hu, Xiaozhao Wei, Jing Li   +5 more
doaj   +1 more source

Global Maximum Power Point Tracking of Photovoltaic Systems Using Artificial Intelligence

Energies
Recently, artificial intelligence (AI) has become a promising solution to the optimization of the energy harvesting and performance of photovoltaic (PV) systems.
Rukhsar, Aidha Muhammad Ajmal, Yongheng Yang   +2 more
doaj   +1 more source

MPPT-Based Control Algorithm for PV System Using iteration-PSO under Irregular shadow Conditions

Arid Zone Journal of Engineering, Technology and Environment, 2017
The conventional maximum power point tracking (MPPT) techniques can hardly track the global maximum power point (GMPP) because the power-voltage characteristics of photovoltaic (PV) exhibit multiple local peaks in irregular shadow, and therefore easily ...
M. Abdulkadir, A. L. Bukar, B. Modu
doaj  

IGWO-VINC Algorithm Applied to MPPT Strategy for PV System

International Journal of Photoenergy
As a kind of inexhaustible renewable energy, solar energy is popular, and photovoltaic power generation has been paid attention to by all circles. However, determining the global maximum power point (GMPP) is difficult under external ambient temperature ...
Guoping Lei, Chang Yan, Li Cai, Chao He, Nina Dai, Shenghao Li, Jing Liu   +6 more
doaj   +1 more source

Modified Dhole-inspired optimization for maximum power extraction in photovoltaic systems under partial shading. [PDF]

Sci Rep
Celikel R, Aydogmus O, Yilmaz M.
europepmc   +1 more source

A photovoltaic maximum power point tracking strategy based on the IRBMO-VP&O algorithm. [PDF]

Sci Rep
Wang X.
europepmc   +1 more source