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On a hybrid MPPT control scheme to improve energy harvesting performance of traditional two-stage inverters used in photovoltaic systems

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Listed:
  • Jiang, Joe-Air
  • Su, Yu-Li
  • Kuo, Kun-Chang
  • Wang, Chien-Hao
  • Liao, Min-Sheng
  • Wang, Jen-Cheng
  • Huang, Chen-Kang
  • Chou, Cheng-Ying
  • Lee, Chien-Hsing
  • Shieh, Jyh-Cherng

Abstract

How to promote the energy harvesting performance of traditional two-stage inverters used in photovoltaic (PV) systems is a critical issue in the PV applications. This paper reviews the prevalent maximum power point tracking (MPPT) techniques and the difficulties and performances of using different stage inverter architectures. Based on the findings of the reviews, this study proposes a new hybrid MPPT algorithm to speedily track the MPP of the PV arrays. The algorithm can be used in a single-phase two-stage PV inverter, where the direct current (dc) sensors for tracking the MPP are not required. A current mode control with a phase-locked function is also proposed to combine with the hybrid MPPT method and implemented in the PV inverter. A grid-tied PV power conditioning (PVPC) system with a capacity rating of 4kW was constructed as a test sample system. An extensive series of experiments were conducted to examine the basic performance for tracking the dynamic MPP of PV array provided by the proposed method. The test results show that the proposed hybrid MPPT method could produce more energy of 2.72% than the traditional P&O method. Moreover, the comparative experiments for several kinds of microprocessor- and digital signal processor (DSP)-based commercial inverters using different MPPT methods were also conducted. Experimental results demonstrate that the commercial inverter equipped with the proposed hybrid MPPT algorithm has a better energy harvesting performance comparing to other commercial inverters with various MPPT methods. The developed hybrid MPPT algorithm and control scheme are promisingly in energy harvest and are ready to use in the commercial PV systems.

Suggested Citation

  • Jiang, Joe-Air & Su, Yu-Li & Kuo, Kun-Chang & Wang, Chien-Hao & Liao, Min-Sheng & Wang, Jen-Cheng & Huang, Chen-Kang & Chou, Cheng-Ying & Lee, Chien-Hsing & Shieh, Jyh-Cherng, 2017. "On a hybrid MPPT control scheme to improve energy harvesting performance of traditional two-stage inverters used in photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 1113-1128.
    • Handle: RePEc:eee:rensus:v:69:y:2017:i:c:p:1113-1128
    DOI: 10.1016/j.rser.2016.09.112
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    References listed on IDEAS

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    1. Saravanan, S. & Ramesh Babu, N., 2016. "Maximum power point tracking algorithms for photovoltaic system – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 192-204.
    2. Abu Eldahab, Yasser E. & Saad, Naggar H. & Zekry, Abdalhalim, 2014. "Enhancing the maximum power point tracking techniques for photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 505-514.
    3. Jiang, Joe-Air & Su, Yu-Li & Shieh, Jyh-Cherng & Kuo, Kun-Chang & Lin, Tzu-Shiang & Lin, Ta-Te & Fang, Wei & Chou, Jui-Jen & Wang, Jen-Cheng, 2014. "On application of a new hybrid maximum power point tracking (MPPT) based photovoltaic system to the closed plant factory," Applied Energy, Elsevier, vol. 124(C), pages 309-324.
    4. Lyden, S. & Haque, M.E., 2015. "Maximum Power Point Tracking techniques for photovoltaic systems: A comprehensive review and comparative analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1504-1518.
    5. Reza Reisi, Ali & Hassan Moradi, Mohammad & Jamasb, Shahriar, 2013. "Classification and comparison of maximum power point tracking techniques for photovoltaic system: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 433-443.
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    Cited by:

    1. 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.

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