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Validation of an Improved Optimization Technique for Photovoltaic Modeling

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Abstract

Particle Swarm Optimization technique has been improved by fractional order calculus to be used for photovoltaic (PV) modeling. The modified technique which is called Fractional Order Darwinian Particle Swarm Optimization (FODPSO) has been constructed to estimate the optimal electrical parameters of PV modules. Single and double diode models have been used to designate the PV modules. FODPSO and PSO algorithms have been designed and applied on two different PV modules at different irradiances and temperatures. In order to validate the proposed modeling technique, Root Mean Square Error (RMSE) of the current, RMSE of power and Summation of the Individual Absolute Error (SIAE) results obtained using FODPSO and traditional Particle Swarm Optimization (PSO) algorithms have been compared. Minimum RMSE and SIAE have been achieved using the FODPSO technique. To verify the FODPSO results accuracy, accurate measurements of short circuit current, open circuit voltage, and maximum power, voltage at maximum power and current at maximum power have been performed for both PV modules. FODPSO-estimated results show excellent agreement with the experimental ones at different irradiances and temperatures.

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Authors and Affiliations

  1. High Voltage Department, National Institute of Standards (NIS), Giza, 12211, Egypt

    Hala M. Abdel Mageed & SamahAbdEltwab Mohamed

  2. Engineering Mathematics and Physics Department, Faculty of Engineering, Fayoum University, Zewail City of Science and Technology, Fayoum, 63514, Egypt

    WaleedAbd El Maguid Ahmed

  3. Electrical Department, Faculty of Engineering, Fayoum University, Fayoum, 12522, Egypt

    Amr A. Saleh

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  1. Hala M. Abdel Mageed
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  2. WaleedAbd El Maguid Ahmed
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  3. SamahAbdEltwab Mohamed
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  4. Amr A. Saleh
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Correspondence to Hala M. Abdel Mageed.

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Mageed, H.M.A., El Maguid Ahmed, W., Mohamed, S. et al. Validation of an Improved Optimization Technique for Photovoltaic Modeling. MAPAN 35, 365–376 (2020). https://doi.org/10.1007/s12647-020-00390-5

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  • DOI: https://doi.org/10.1007/s12647-020-00390-5

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