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Novel high accurate sensorless dual-axis solar tracking system controlled by maximum power point tracking unit of photovoltaic systems

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  • Fathabadi, Hassan

Abstract

In this study, a novel high accurate sensorless dual-axis solar tracker controlled by the maximum power point tracking unit available in almost all photovoltaic systems is proposed. The maximum power point tracking controller continuously calculates the maximum output power of the photovoltaic module/panel/array, and uses the altitude and azimuth angles deviations to track the sun direction where the greatest value of the maximum output power is extracted. Unlike all other sensorless solar trackers, the proposed solar tracking system is a closed loop system which means it uses the actual direction of the sun at any time to track the sun direction, and this is the contribution of this work. The proposed solar tracker has the advantages of both sensor based and sensorless dual-axis solar trackers, but it does not have their disadvantages. Other sensorless solar trackers all are open loop, i.e., they use offline estimated data about the sun path in the sky obtained from solar map equations, so low exactness, cloudy sky, and requiring new data for new location are their problems. A photovoltaic system has been built, and it is experimentally verified that the proposed solar tracking system tracks the sun direction with the tracking error of 0.11° which is less than the tracking errors of other both sensor based and sensorless solar trackers. An increase of 28.8–43.6% depending on the seasons in the energy efficiency is the main advantage of utilizing the proposed solar tracking system.

Suggested Citation

  • Fathabadi, Hassan, 2016. "Novel high accurate sensorless dual-axis solar tracking system controlled by maximum power point tracking unit of photovoltaic systems," Applied Energy, Elsevier, vol. 173(C), pages 448-459.
  • Handle: RePEc:eee:appene:v:173:y:2016:i:c:p:448-459
    DOI: 10.1016/j.apenergy.2016.03.109
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    2. Zihan Yang & Zhiquan Xiao, 2023. "A Review of the Sustainable Development of Solar Photovoltaic Tracking System Technology," Energies, MDPI, vol. 16(23), pages 1-31, November.
    3. Hong, Ying-Yi & Beltran, Angelo A. & Paglinawan, Arnold C., 2018. "A robust design of maximum power point tracking using Taguchi method for stand-alone PV system," Applied Energy, Elsevier, vol. 211(C), pages 50-63.
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    5. Hafez, A.Z. & Yousef, A.M. & Harag, N.M., 2018. "Solar tracking systems: Technologies and trackers drive types – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 754-782.
    6. Nsengiyumva, Walter & Chen, Shi Guo & Hu, Lihua & Chen, Xueyong, 2018. "Recent advancements and challenges in Solar Tracking Systems (STS): A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 250-279.
    7. 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.
    8. Fathabadi, Hassan, 2016. "Novel high-efficient unified maximum power point tracking controller for hybrid fuel cell/wind systems," Applied Energy, Elsevier, vol. 183(C), pages 1498-1510.
    9. Fathabadi, Hassan, 2017. "Novel fast and high accuracy maximum power point tracking method for hybrid photovoltaic/fuel cell energy conversion systems," Renewable Energy, Elsevier, vol. 106(C), pages 232-242.
    10. Garrido, Ruben & Díaz, Arturo, 2016. "Cascade closed-loop control of solar trackers applied to HCPV systems," Renewable Energy, Elsevier, vol. 97(C), pages 689-696.
    11. Sebastijan Seme & Bojan Štumberger & Miralem Hadžiselimović & Klemen Sredenšek, 2020. "Solar Photovoltaic Tracking Systems for Electricity Generation: A Review," Energies, MDPI, vol. 13(16), pages 1-24, August.
    12. Kebir, Anouer & Woodward, Lyne & Akhrif, Ouassima, 2019. "Real-time optimization of renewable energy sources power using neural network-based anticipative extremum-seeking control," Renewable Energy, Elsevier, vol. 134(C), pages 914-926.
    13. Kuo, Kun-Chang & Liao, Min-Sheng & Wang, Jen-Cheng & Lee, Yeun-Chung & Huang, Chen-Kang & Chou, Cheng-Ying & Liu, Cheng-Yue & Hsu, Hsuan-Hshiang & Chen, Po-Han & Jiang, Joe-Air, 2018. "Comprehensive assessment of the long-term energy harvest capabilities for PV systems with different tilt angles: Case study in Taiwan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 74-89.
    14. Pirayawaraporn, Alongkorn & Sappaniran, Sahapol & Nooraksa, Sarawin & Prommai, Chanon & Chindakham, Nachaya & Jamroen, Chaowanan, 2023. "Innovative sensorless dual-axis solar tracking system using particle filter," Applied Energy, Elsevier, vol. 338(C).
    15. Shitao Wang & Yi Shen & Junbing Zhou & Caixia Li & Lijun Ma, 2022. "Efficiency Enhancement of Tilted Bifacial Photovoltaic Modules with Horizontal Single-Axis Tracker—The Bifacial Companion Method," Energies, MDPI, vol. 15(4), pages 1-22, February.

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