Advanced perturb and observe algorithm for maximum power point tracking in photovoltaic systems with adaptive step size

• Autorzy: Zouhri Amal

Identyfikatory

DOI

10.14313/JAMRIS/3‐2024/22

• Języki publikacji: EN

Abstrakty

EN

Maximum power point tracking (MPPT) algorithms are commonly used in photovoltaic (PV) systems to optimize the power output from the solar panels. Among the various MPPT algorithms, the perturb and observe (P&O) algorithm is a popular choice due to its simplicity and effectiveness. However, the basic P&O algorithm has some limitations such as oscillations and steady-state error under rapidly changing irradiance conditions. The enhanced algorithm includes a modified perturbation step and a dynamic step size adjustment scheme. This reduces the oscillations and improves the tracking accuracy. In the dynamic step size adjustment scheme, the step size is adjusted based on the rate of change of the PV output power. This improves the tracking performance under rapidly changing irradiance conditions. In order to prove the performance of the designed control algorithm, we will test it under simple climatic conditions of fixed temperature (30°C) and variable irradiation in the form of steps (500W/m² and 2000w/m²) and see the system response. The performance of the enhanced P&O algorithm has been evaluated using MATLAB simulations.

Słowa kluczowe

EN

improved tracking accuracy; dynamic step size adjustment; reduced oscillations; maximum power point tracking; perturb algorithm; observe algorithm; photovoltaic systems

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2024
• Tom: Vol. 18, No. 3
• Strony: 55--60
• Opis fizyczny: Bibliogr. 8 poz., rys.

Twórcy

autor

Zouhri Amal

• Sidi Mohammed Ben Abdellah University, Faculty of Sciences Dhar El Mahraz, LISAC Laboratory, Fez, Morocco

Bibliografia

• [1] Mahmod Mohammad AN, Mohd Radzi MA, Azis N, Shafie S, Atiqi Mohd Zainuri MA, “An Enhanced Adaptive Perturb and Observe Technique for Efficient Maximum Power Point Tracking Under Partial Shading Conditions,” Applied Sciences. 2020; 10(11):3912. DOI: 10.3390/app10113912.
• [2] Zhu Y, Kim MK, Wen H, “Simulation and Analysis of Perturbation and Observation-Based Self-Adaptable Step Size Maximum Power Point Tracking Strategy with Low Power Loss for Photovoltaics,” Energies. 2019;12(1):92. DOI: 10.3390/en120100920.
• [3] R. Reisi, M. H. Moradi, and S. Jamasb, “Classification and comparison of maximum power point tracking techniques for photovoltaic system: A review,” Renewable and Sustainable Energy Reviews, vol. 19, pp. 433–447, 2013. DOI: 10.1016/j.rser.2012.11.052.
• [4] Ambe Harrison, Eustace Mbaka Nfah, Jean de Dieu Nguimfack Ndongmo, Njimboh Henry Alombah, “An Enhanced P&O MPPT Algorithm for PV Systems with Fast Dynamic and Steady-State Response under Real Irradiance and Temperature Conditions”, International Journal of Photoenergy, vol. 2022, Article ID 6009632, 21 pages, 2022. OI: 10.1155/2022/6009632.
• [5] Mohammad Mohammadinodoushan, Rabeh Abbassi, Houssem Jerbi, Faraedoon Waly Ahmed, Halkawt Abdalqadir kh ahmed, Alireza Rezvani, “A new MPPT design using variable step size perturb and observe method for PV system under partially shaded conditions by modified shuffled frog leaping algorithm – SMC controller,” Sustainable Energy Technologies and Assessments, Volume 45, 2021, 101056, ISSN 2213-1388, DOI: 10.1016/j.seta.2021.101056.
• [6] Rezoug, M.R., Chenni, R., Taibi, D., “Fuzzy Logic-Based Perturb and Observe Algorithm with Variable Step of a Reference Voltage for Solar Permanent Magnet Synchronous Motor Drive System Fed by Direct-Connected Photovoltaic Array,” Energies 2018, 11, 462. DOI: 10.3390/en11020462.
• [7] Katche, M.L., Makokha, A.B., Zachary, S.O., Adaramola, M.S., “A Comprehensive Review of Maximum Power Point Tracking (MPPT) Techniques Used in Solar PV Systems,” Energies 2023, 16, 2206. DOI: 10.3390/en16052206.
• [8] A. Harrison, E. M. Nfah, J. d. D. N. Ndongmo, and N. H. Alombah, “An Enhanced P&O MPPT Algorithm for PV Systems with Fast Dynamic and Steady-State Response under Real Irradiance and Temperature Conditions,”International Journal of Photoenergy, Volume 2022, Article ID 6009632, 21 pages, DOI: 10.1155/2022/6009632.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).