Results 51 to 60 of about 35,240 (162)
Under uniform operating conditions, the power–voltage (P-V) and current–voltage (I-V) curves of a photovoltaic (PV) system have only one maximum point, which facilitates the operation of maximum power point tracking (MPPT) algorithms. In practice, the PV
Van Hien Bui +3 more
doaj +1 more source
Low-carbon and energy-efficient photovoltaic rooftop integration in intelligent industrial campuses
The integration of photovoltaic rooftops into industrial buildings is a key pathway to achieving carbon neutrality goals. The core challenge lies in maximizing photovoltaic power generation efficiency.
Haibiao Xu +3 more
doaj +1 more source
Photovoltaic (PV) systems face challenges in achieving maximum energy extraction due to the non-linear nature of their current versus voltage (IxV) characteristics, which are influenced by temperature and solar irradiation.
Fernando Marcos de Oliveira +5 more
doaj +1 more source
Adaptable Algorithm for Tracking Global Maximum Power Point of Photovoltaic Module Arrays
Kuei-Hsiang Chao +2 more
openaire +1 more source
Global maximum power point tracking (GMPPT) techniques applied in photovoltaic (PV) systems under partial shading conditions (PSCs) require significant variations in the duty cycle of power electronic converters.
Caio Meira Amaral Da Luz +2 more
doaj +1 more source
This paper presents an Enhanced Grey Wolf Optimizer (E-GWO) algorithm for Maximum Power Point Tracking (MPPT) in photovoltaic (PV) systems under partial shading conditions.
Hajar Ahessab +2 more
doaj +1 more source
This paper introduces a novel strategy for tracking the Maximum Power Point (MPP) using Grey Wolf Equilibrium Optimizer (GWEO) algorithm, which integrates a search mechanism of Grey Wolf Optimizer (GWO) and Equilibrium Optimizer (EO).
Feriel Abdelmalek +4 more
doaj +1 more source
Classical algorithms for multi-variable photovoltaic systems use fixed-size perturbations, which does not optimize the produced power in both steady-state and transient conditions.
Andrés Julián Saaaavedra Montes +2 more
doaj
Deep reinforcement learning using deep-Q-network for Global Maximum Power Point tracking: Design and experiments in real photovoltaic systems. [PDF]
Giraldo LF +4 more
europepmc +1 more source
Research on the application of refinement hierarchical population algorithm in MPPT of photovoltaic arrays. [PDF]
Liming W, Qi K.
europepmc +1 more source

