Results 31 to 40 of about 35,240 (162)

Global Maximum Power Point Tracking of Partially Shaded PV System Using Advanced Optimization Techniques

open access: yesEnergies, 2022
In this work, a meta-heuristic optimization based method, known as the Firefly Algorithm (FA), to achieve the maximum power point (MPP) of a solar photo-voltaic (PV) system under partial shading conditions (PSC) is investigated.
Nouman Akram   +3 more
doaj   +1 more source

A Modification of the Perturb and Observe Method to Improve the Energy Harvesting of PV Systems under Partial Shading Conditions

open access: yesEnergies, 2021
There are multiples conditions that lead to partial shading conditions (PSC) in photovoltaic systems (PV). Under these conditions, the harvested energy decreases in the PV system.
Alfredo Gil-Velasco   +1 more
doaj   +1 more source

A New MPPT Algorithm for Photovoltaic Power Generation under Uniform and Partial Shading Conditions

open access: yesEnergies, 2021
During its operation, a photovoltaic system may encounter many practical issues such as receiving uniform or non-uniform irradiance caused mainly by partial shading.
Novie Ayub Windarko   +5 more
doaj   +1 more source

A Hybrid Maximum Power Point Search Method Using Temperature Measurements in Partial Shading Conditions

open access: yesMetrology and Measurement Systems, 2014
Photovoltaic panels have a non-linear current-voltage characteristics to produce the maximum power at only one point called the maximum power point. In the case of the uniform illumination a single solar panel shows only one maximum power, which is also ...
Mroczka Janusz, Ostrowski Mariusz
doaj   +1 more source

Partial Shading Detection and Global Maximum Power Point Tracking Algorithm for Photovoltaic with the Variation of Irradiation and Temperature

open access: yesEnergies, 2019
Photovoltaic (PV) technology has been the focus of interest due to its nonpolluting operation and good installation flexibility. Irradiation and temperature are the two main factors which impact the performance of the PV system. Accordingly, when partial
Jirada Gosumbonggot, Goro Fujita
doaj   +1 more source

Accelerated Particle Swarm Optimization for Photovoltaic Maximum Power Point Tracking under Partial Shading Conditions

open access: yesEnergies, 2019
This paper presents an accelerated particle swarm optimization (PSO)-based maximum power point tracking (MPPT) algorithm to track global maximum power point (MPP) of photovoltaic (PV) generation under partial shading conditions.
Muhannad Alshareef   +3 more
doaj   +1 more source

Multi-verse Optimization-based MPPT Design for PV-TEG System

open access: yesZhongguo dianli, 2023
A centralized hybrid photovoltaic thermoelectric generator (PV-TEG) system shows multiple local maximum power points (LMPPs) under a partial shading condition (PSC).
Dahu LI   +4 more
doaj   +1 more source

Global maximum power point tracking for solar power systems using the hybrid artificial fish swarm algorithm

open access: yesGlobal Energy Interconnection, 2019
Maximum power point tracking (MPPT) techniques are used to maintain photovoltaic modules operating points at the local maximum power points under non-uniform irradiance conditions (NUIC).
Jianpo Li, Pengwei Dong
doaj   +1 more source

A novel algorithm for maximum power point tracking using computer vision (CVMPPT).

open access: yesPLoS ONE
The behavior of an illuminated solar module can be characterized by its power-voltage curve. Tracking the peak of this curve is essential to harvest the maximum power by the module.
Morteza Ahmadi   +3 more
doaj   +1 more source

Forward converter-based distributed global maximum power point tracking in partial shading conditions [PDF]

open access: yesSN Applied Sciences, 2020
Maximum power point tracking (MPPT) is an essential part of a photovoltaic (PV) power generation systems to obtain the possible biggest efficiency. In partial shading conditions (PSCs), distributed MPPT strategy is used to eliminate mismatching cases between PV modules and load.
openaire   +1 more source

Home - About - Disclaimer - Privacy