Research on MPPT control strategy of photovoltaic cells under multi-peak

Zhou, Chun-guang; Huang, Liang; Ling, Zaixun; Cui, Yibo

doi:10.1016/j.egyr.2021.01.068

Cited by 10 publications

(2 citation statements)

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“…This section mainly shows that, in practical engineering applications, PV modules are interfered with by various factors, such as surface dust and dark clouds, which lead to the output power of some PV modules being significantly lower than other parts and accordingly bringing about the phenomenon of multiple peaks or inflection points (Veerapen and Wen, 2016;Mirza et al, 2019;Zhou et al, 2021). Three PV panels are connected in series to form a PV array, and each PV panel is connected in reverse parallel with a bypass diode.…”

Section: Output Characteristics Of Photovoltaic Array With Shadingmentioning

confidence: 99%

Research on Efficient Soft Switching Based on MPPT of PV Power Generation System

2021

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In this paper, basic soft-switching technology is proposed based on hard switching, and then the basic soft-switching technology is optimized, and an improved soft-switching technology is proposed to improve the conversion efficiency by reducing the switching loss. The simulation results show that the conversion efficiency of hard and basic soft switching is 94.3 and 96.1%, but the conversion efficiency of improved soft switching optimized on the basis of basic soft switching is only 95.8%. To solve this problem, an innovative soft-switching technology is put forward in this paper, and its conversion efficiency is as high as 96.3%, which is superior to the basic soft-switching technology.

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Section: Output Characteristics Of Photovoltaic Array With Shadingmentioning

confidence: 99%

Research on Efficient Soft Switching Based on MPPT of PV Power Generation System

2021

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“…Photovoltaic (PV) systems have gained prominence as a sustainable and environmentally friendly source of electrical energy. Their utilization is pivotal in reducing our dependence on fossil fuels and mitigating the adverse effects of climate change (guang Zhou, Huang, xun Ling, & bo Cui, 2021). However, to fully harness the potential of PV systems, efficient power conversion and optimization strategies are imperative.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Photovoltaic System Performance through the Design and Development of an Artificial Neural Network MPPT Control

Meddah,

Belarbi,

Negadi

et al. 2024

Preprint

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This article conducts a thorough comparison of three Maximum Power Point Tracking control techniques for photovoltaic systems: Perturb and Observe, Incremental Conductance, and Artificial Neural Network. The study aims to identify the most effective MPPT method by subjecting each technique to numerical simulations. The article explores the performance, efficiency, and robustness of Perturb and Observe, Incremental Conductance and Artificial Neural Network in capturing the maximum power output from photovoltaic panels under varying environmental conditions. Following rigorous testing through numerical simulations, the superior technique is selected for implementation in a grid-connected photovoltaic power conversion chain. This research contributes valuable insights into the optimization of photovoltaic system performance through advanced MPPT control strategies, facilitating informed decisions for practical applications in renewable energy systems.

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