Integrated Renewable PV System through Artificial Neural Network Based MPPT and Water Cooling Treatment

Attia, Hussain; Hossin, Khaled

doi:10.1109/icecta48151.2019.8959581

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…To increase the level of output voltage from the PV array, the number of serially connected panels in the branches of PV array should be increased. Whereas to increase the level of output current from the PV array, the number of parallel branches should be increased [4], [5].…”

Section: Introductionmentioning

confidence: 99%

A new perturb and observe MPPT algorithm based on two steps variable voltage control

Attia

Ulusoy

2021

IJPEDS

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Based on the fact that the effectiveness of perturb and observe algorithm in a maximum power point tracking maximum power point tracking (MPPT) in a photovoltaic array is a tradeoff between the tracking speed during the transient response and the oscillation around the stable level during the steady state response. To have a high tracking speed, incremental step should be high, but this high incremental step increases the oscillation level around the steady level of MPPT, whereas adopting low incremental step reduces the algorithm response time but improve the response during the steady state condition. This paper presents a new perturb and observe algorithm based on two step variable control for MPPT applications. A two variable incremental step control is proposed to gain the merit of high step for guaranteeing a fast response during tracking process, and also for guaranteeing the merit of low oscillation during the steady state working condition through adopting a low step during steady state response. The effectiveness of the proposal is proved by the analysis of the simulation results via MATLAB/Simulink software, and by the comparison of the simulation results with a conventional perturb and observe MPPT algorithm.

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Section: Introductionmentioning

confidence: 99%

A new perturb and observe MPPT algorithm based on two steps variable voltage control

Attia

Ulusoy

2021

IJPEDS

Self Cite

View full text Add to dashboard Cite

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Experimental investigation of photovoltaic systems for performance improvement using water cooling

2023

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This research aims to analyse the comparative performance of two identical photovoltaic (PV) panels with load variations and integrating an automated water-cooling process under the climatic conditions of the United Arab Emirates. The work also presents the steps of system design, implementation and performance evaluation of the proposed PV system, and all electrical, control and mechanical components along with how they were integrated within a 100-W PV system. MATLAB®/Simulink® was used only to simulate the behaviours of the PV panel under wide ranges of incident sunlight and ambient temperature. The tests were performed for a day-long operation during a clear summer day. The experimental results demonstrate an improvement in the PV system performance compared with the uncooled system by ~1.6% in terms of total harvested energy using the proposed water-cooling process with a frequency of 2 minutes of cooling operation every 30 minutes during day hours.

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Integrated Renewable PV System through Artificial Neural Network Based MPPT and Water Cooling Treatment

Cited by 2 publications

References 11 publications

A new perturb and observe MPPT algorithm based on two steps variable voltage control

A new perturb and observe MPPT algorithm based on two steps variable voltage control

Experimental investigation of photovoltaic systems for performance improvement using water cooling

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