Results 61 to 70 of about 14,930,891 (165)

A SIMSCAPE based design of a dual maximum power point tracker of a stand-alone photovoltaic system [PDF]

, 2020
This paper presents the simulation of a dual maximum power point tracker (dual-MPPT) and attempt to get the global maximum power point GMPP under partial shading conditions for a solar photovoltaic module using MATLAB SIMSCAPE.
Adawi, Abdullah H., Ibbini, Mohammed S.
core   +1 more source

Precise Quantification of Angiogenesis in 3D Biomaterials Using in Vitro CAM Models: Enhancing 3Rs in Research and Minimizing in Vivo Dependency

Advanced Functional Materials, Volume 35, Issue 51, December 16, 2025.
The study develops elastin–fibrin scaffolds and evaluates angiogenesis using the chorioallantoic membrane (CAM) model. Advanced imaging with confocal microscopy and Indocyanine Green dye enables precise 3D quantification of vascular networks. Findings demonstrate superior microvessel visualization compared to micro‐CT using Microfil and Optiray 350 ...
Ece Melis Er, Martha Patricia Pérez González, Beatriz Gil Garrido, Jasmine Ho, Hae‐Won Kim, Jonathan Campbell Knowles, Jia Hua, Ferdinand Lali, Prasad Sawadkar   +8 more
wiley   +1 more source

Artificial Intelligence Based MPPT Techniques for Solar Power System: A review

Journal of Modern Power Systems and Clean Energy, 2020
In the last decade, artificial intelligence (AI) techniques have been extensively used for maximum power point tracking (MPPT) in the solar power system.
Kah Yung Yap, Charles R. Sarimuthu, Joanne Mun-Yee Lim   +2 more
doaj   +1 more source

Fuzzy optimization strategy of the maximum power point tracking for a variable wind speed system

, 2022
Wind power systems are gaining more and more interests; in order to diminish dependence on fossil fuels. In this paper, we present a variable speed-wind energy global system based on a synchronous generator with permanent magnetic (PMSG).
Fuzzy optimization strategy of the maximum power point tracking for a variable wind speed system, Noureddine Bouhamri, Lahouari Abdelhakem Koridak, Ahmed Allali   +3 more
core   +1 more source

A Modified Hybrid Maximum Power Point Tracking Method for Photovoltaic Arrays Under Partially Shading Condition

IEEE Access, 2019
To ensure the photovoltaic (PV) arrays under partial shading condition(PSC) could still output maximum power quickly and efficiently, this work presents a modified hybrid maximum power point tracking (MPPT) method, which applies artificial neural network
Wei Zhang, Guopeng Zhou, Hao Ni, Yunlian Sun   +3 more
doaj   +1 more source

Levy Flight‐Enhanced Coot Optimization Algorithm‐Based MPPT for PV Systems Under Partial Shading Conditions

Energy Science &Engineering, Volume 13, Issue 12, Page 6084-6099, December 2025.
ABSTRACT The power generated by Photovoltaic (PV) systems is influenced by multiple factors, with irradiance and temperature being the most significant. Under Partial Shading Conditions (PSC), uneven irradiance distribution across PV arrays leads to a substantial reduction in output power.
Chuanlai Yuan, Fengyuan Huang, Juntao Xia, Jiabin Chen, Lingshuang Kong   +4 more
wiley   +1 more source

A novel global maximum power point tracking based on flamingo search algorithm for photovoltaic systems [PDF]

Due to the high dependency of photovoltaic (PV) solar cell’s output on solar irradiance and, the ambient temperature. Maximum power point tracking (MPPT) algorithms are used extensively to operate the system at its full potentials.
Draoui, Abdelghani, Saidi, Ahmed, Bourezg, Abdrabbi, Allaoua, Boumediene   +3 more
core   +1 more source

Modelling of Salp Swarm MPPT Algorithm‐Based Quadra‐Tied Solar PV System to Minimise Power Loss in Urban Areas During Shading Scenarios

IET Smart Energy Systems, Volume 1, Issue 3, Page 272-288, December 2025.
This research presents a comparative analysis of salp swarm algorithm (SSA) and particle swarm optimisation (PSO) strategies for maximum power point tracking (MPPT) to alleviate the detrimental effects of partial shade on rooftop solar photovoltaic systems in urban settings utilising a quadra‐tied PV array design.
Abhinav Bhattacharjee, Suresh Mikkili
wiley   +1 more source

Deep reinforcement learning for global maximum power point tracking: design and experiments in real PV systems

, 2022
To ensure the efficient operation of photovoltaic systems, the maximum power point (MPP) must be found under different environmental conditions using a maximum power point tracking (MPPT) algorithm. Conventional methods such as the perturb and observe (P&
Gaviria Fierro, Jorge Felipe
core   +1 more source

Improved RCC-Based MPPT Strategy for Enhanced Solar Energy Harvesting in Shaded Environments

IEEE Access
An improved ripple correlation control (iRCC) algorithm is proposed to enable conventional ripple correlation control (cRCC) to track maximum power under uniform and partial shading condition (PSC). The proposed iRCC has two parts; the first part detects
Hamid Khan, Hadeed Ahmed Sher, Afaq Hussain, Abdullah M. Noman, Ali Faisal Murtaza, Kareem M. AboRas   +5 more
doaj   +1 more source