High Accuracy Testing of MPPT Proteus Model Performance for Photovoltaic System-Reference-Cited by-同舟云学术

High Accuracy Testing of MPPT Proteus Model Performance for Photovoltaic System

Published:2022-07-01 Issue:1 Volume:22 Page:1-7
ISSN:2286-2455
Container-title:The Scientific Bulletin of Electrical Engineering Faculty
language:en
Short-container-title:

Author:

Affari Belhadj Chekal¹,Kahoul Nabil²,Chenni Rachid¹,Neçaibia Ammar³,Younes Mouhammed⁴,Kherici Zoubida²

Affiliation:

1. Laboratoire de MoDERNa Université frère Mentouri Constantine 1 , Algeria

2. Laboratoire des Systèmes Electromécaniques LSELM Université Badji Mokhtar Annaba , Algeria

3. Centre de Développement des Energies Renouvelables URERMS Adrar , Algeria

4. Laboratoire d’Électrotechnique de Constantine , Algeria

Abstract

Abstract This study examines the performance of the MPPT Proteus model. The high performance of this model was proposed for a photovoltaic system and tested using the most commonly known MPPT techniques. The proposed Proteus model is a simulator of a maximum power point tracking system for a photovoltaic panel connected to the DC-DC converter with digital control. The Proteus software performs simulation and implementation of the photovoltaic panel model based on a one-diode model and a two-diode model with high accuracy. Both photovoltaic panel models were validated by experimental measurements. Simulation results for tracking voltage, tracking current and tracking power show that this model performs satisfactorily. The theoretical evaluation confirms the high performance of the MPPT Proteus model, which offers a high degree of control and planning.

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

Link

https://www.sciendo.com/pdf/10.2478/sbeef-2022-0003

Reference39 articles.

1. [1] N. Kahoul, M. Houabes, and A. Neçaibia, “A comprehensive simulator for assessing the reliability of a photovoltaic panel peak power tracking system,” Front. Energy, vol. 9, no. 2, pp. 170–179, 2015, doi: 10.1007/s11708-015-0353-y.

2. [2] M. S. Ishaque K, Salam Z, Amjad M, “An improved particle swarm optimization (PSO)–based MPPT for PV with reduced steady-state oscillation,” IEEE Trans. Power Electron., vol. 27(8), pp. 3627–3638, 2012.

3. [3] D. A. Chalh A, El Hammoumi A, Motahhir S, El Ghzizal A, Subramaniam U, “Trusted Simulation Using Proteus Model for a PV System: Test Case of an Improved HC MPPT Algorithm,” Energies, vol. 13(8), p. 1943, 2020.10.3390/en13081943

4. [4] B. S. Yilmaz U, Kircay A, “PV system fuzzy logic MPPT method and PI control as a charge controller,” Renew. Sustain. Energy Rev., vol. 81, pp. 994–1001, 2018.10.1016/j.rser.2017.08.048

5. [5] R. B. Bollipo, S. Mikkili, and P. K. Bonthagorla, “Critical Review on PV MPPT Techniques: Classical, Intelligent and Optimisation,” IET Renew. Power Gener., vol. 14, no. 9, pp. 1433–1452, Jul. 2020, doi: 10.1049/IET-RPG.2019.1163.

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Understanding the impact of desert stressors factors on standard PV panel performance: Case study of Algeria's desert;Scientific African;2023-09

2. Power losses in PV arrays of field-aged modules;Microelectronics Reliability;2023-08

3. Challenges related to the long-term reliability of standard PV panels: case of Algerian Desert;2023 1st International Conference on Renewable Solutions for Ecosystems: Towards a Sustainable Energy Transition (ICRSEtoSET);2023-05-06