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A control strategy for improved efficiency in direct-coupled photovoltaic systems through load management

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  • Azzolini, Joseph A.
  • Tao, Meng

Abstract

Nearly all photovoltaic (PV) systems involve power management and/or conversion devices. Each of these devices introduces a power loss and has an associated monetary cost. In this paper, a direct-coupled load-managing PV system is proposed that promises both a lower cost and a higher efficiency than conventional systems. Against the prevailing wisdom that the PV power must be managed, the proposed system varies the power demand of the loads by controlling the number of loads connected to the PV array to extract the maximum available power throughout a day without a conventional maximum power point tracker. This system can also regulate its operating voltage to less than ±3% of its target voltage without a DC/DC converter. The proposed control strategy can be applied to many direct-coupled PV systems for improved efficiency. A simulation program was developed for the load-managing system that can simulate its performance with a PV array of any size and any number of loads. The theoretical system efficiency was found to increase with the number of loads being managed and reaches above 99% for a direct-coupled system with just eight ohmic loads. Experimentally, a prototype system with equal and unequal ohmic loads was demonstrated in an outdoor environment that responds to changes in solar irradiance. The control strategy also allows direct-coupled PV systems to be backed up by a secondary power source, e.g. the electric grid, to eliminate their intermittency for applications such as electric vehicle charging. The cost of the control electronics for the load-managing system is less than 1% of the commercial-scale PV system cost. Several challenges in implementing and optimizing the proposed system are discussed.

Suggested Citation

  • Azzolini, Joseph A. & Tao, Meng, 2018. "A control strategy for improved efficiency in direct-coupled photovoltaic systems through load management," Applied Energy, Elsevier, vol. 231(C), pages 926-936.
  • Handle: RePEc:eee:appene:v:231:y:2018:i:c:p:926-936
    DOI: 10.1016/j.apenergy.2018.09.198
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    References listed on IDEAS

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    1. Chandel, S.S. & Naik, M. Nagaraju & Chandel, Rahul, 2017. "Review of performance studies of direct coupled photovoltaic water pumping systems and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 163-175.
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    3. Tiwari, Arunendra K. & Kalamkar, Vilas R., 2016. "Performance investigations of solar water pumping system using helical pump under the outdoor condition of Nagpur, India," Renewable Energy, Elsevier, vol. 97(C), pages 737-745.
    4. Bhatti, Abdul Rauf & Salam, Zainal & Aziz, Mohd Junaidi Bin Abdul & Yee, Kong Pui & Ashique, Ratil H., 2016. "Electric vehicles charging using photovoltaic: Status and technological review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 34-47.
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    Cited by:

    1. Xu, Jiuping & Liu, Tingting, 2020. "Technological paradigm-based approaches towards challenges and policy shifts for sustainable wind energy development," Energy Policy, Elsevier, vol. 142(C).
    2. Zhang, Chaoyu & Zhang, Chengming & Li, Liyi & Guo, Qingbo, 2021. "Parameter analysis of power system for solar-powered unmanned aerial vehicle," Applied Energy, Elsevier, vol. 295(C).
    3. Talaat, M. & Hatata, A.Y. & Alsayyari, Abdulaziz S. & Alblawi, Adel, 2020. "A smart load management system based on the grasshopper optimization algorithm using the under-frequency load shedding approach," Energy, Elsevier, vol. 190(C).

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