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Solar Tracking System with New Hybrid Control in Energy Production Optimization from Photovoltaic Conversion for Polish Climatic Conditions

Author

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  • Grażyna Frydrychowicz-Jastrzębska

    (Faculty of Control, Robotics and Electrical Engineering, Poznan University of Technology, 60-965 Poznań, Poland)

  • Artur Bugała

    (Faculty of Control, Robotics and Electrical Engineering, Poznan University of Technology, 60-965 Poznań, Poland)

Abstract

This paper presents a comparison of the 24-month production of electricity and momentary power by two photovoltaic systems with a nominal power of 1000 W p each. The analyzed systems are connected to the power grid and operate independently: a fixed system with optimal all-year-round angular positioning and an astronomical-sensor-controlled dual-axis tracking system. The systems under consideration consist of PV modules with a unit electrical power of 200 W p , and the production technology of those modules is the same. The tested systems were located on the building rooftop of the Faculty of Control, Robotics and Electrical Engineering of the Poznan University of Technology in Poland (Central Poland, 52°24.4152′ N, 16°55.7958′ E) at a height of 30 m above ground level. The measurements take into account the consumption of electricity by the actuators of the dual-axis positioning system. Increases in the produced electricity by 35.6% and 44.7% were observed for local climatic conditions during the first and second measuring years, respectively, when comparing the use of the dual-axis tracking system with the use of fixed units. Results show that the analyzed region of central Poland, represented by the city of Poznań, creates favorable climatic conditions for the use of astronomical-sensor spatial positioning systems for photovoltaic modules, also in the case of a significant share of diffuse solar radiation in the global value. These results may make the planning of solar tracking investments easier and help with the estimate calculations of the total investment return period and operational costs.

Suggested Citation

  • Grażyna Frydrychowicz-Jastrzębska & Artur Bugała, 2021. "Solar Tracking System with New Hybrid Control in Energy Production Optimization from Photovoltaic Conversion for Polish Climatic Conditions," Energies, MDPI, vol. 14(10), pages 1-26, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:10:p:2938-:d:557714
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    References listed on IDEAS

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    1. Ramli, Makbul A.M. & Twaha, Ssennoga & Ishaque, Kashif & Al-Turki, Yusuf A., 2017. "A review on maximum power point tracking for photovoltaic systems with and without shading conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 144-159.
    2. Sumathi, Vijayan & Jayapragash, R. & Bakshi, Abhinav & Kumar Akella, Praveen, 2017. "Solar tracking methods to maximize PV system output – A review of the methods adopted in recent decade," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 130-138.
    3. John Macaulay & Zhongfu Zhou, 2018. "A Fuzzy Logical-Based Variable Step Size P&O MPPT Algorithm for Photovoltaic System," Energies, MDPI, vol. 11(6), pages 1-15, May.
    4. Yang Du & Ke Yan & Zixiao Ren & Weidong Xiao, 2018. "Designing Localized MPPT for PV Systems Using Fuzzy-Weighted Extreme Learning Machine," Energies, MDPI, vol. 11(10), pages 1-10, October.
    5. Amir, A. & Amir, A. & Selvaraj, J. & Rahim, N.A., 2016. "Study of the MPP tracking algorithms: Focusing the numerical method techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 350-371.
    6. Qi-Xun Zhang & Hai-Ye Yu & Qiu-Yuan Zhang & Zhong-Yuan Zhang & Cheng-Hui Shao & Di Yang, 2015. "A Solar Automatic Tracking System that Generates Power for Lighting Greenhouses," Energies, MDPI, vol. 8(7), pages 1-14, July.
    7. Bendib, Boualem & Belmili, Hocine & Krim, Fateh, 2015. "A survey of the most used MPPT methods: Conventional and advanced algorithms applied for photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 637-648.
    8. Hyeon-Seok Lee & Jae-Jung Yun, 2019. "Advanced MPPT Algorithm for Distributed Photovoltaic Systems," Energies, MDPI, vol. 12(18), pages 1-17, September.
    9. Fathabadi, Hassan, 2016. "Novel high efficient offline sensorless dual-axis solar tracker for using in photovoltaic systems and solar concentrators," Renewable Energy, Elsevier, vol. 95(C), pages 485-494.
    10. Okoye, Chiemeka Onyeka & Bahrami, Arian & Atikol, Ugur, 2018. "Evaluating the solar resource potential on different tracking surfaces in Nigeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1569-1581.
    11. Enany, Mohamed A. & Farahat, Mohamed A. & Nasr, Ahmed, 2016. "Modeling and evaluation of main maximum power point tracking algorithms for photovoltaics systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1578-1586.
    12. Vieira, R.G. & Guerra, F.K.O.M.V. & Vale, M.R.B.G. & Araújo, M.M., 2016. "Comparative performance analysis between static solar panels and single-axis tracking system on a hot climate region near to the equator," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 672-681.
    13. Trzmiel, G. & Głuchy, D. & Kurz, D., 2020. "The impact of shading on the exploitation of photovoltaic installations," Renewable Energy, Elsevier, vol. 153(C), pages 480-498.
    14. Chiemeka Onyeka Okoye & Serkan Abbasoglu, 2013. "Empirical Investigation of Fixed and Dual Axis Sun Tracking Photovoltaic System Installations in Turkish Republic of Northern Cyprus," Journal of Asian Scientific Research, Asian Economic and Social Society, vol. 3(5), pages 440-453, May.
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