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Theoretical Analysis and Implementation of Photovoltaic Fault Diagnosis

In: Renewable Energy - Utilisation and System Integration

Author

Listed:
  • Yihua Hu
  • Wenping Cao

Abstract

The utilization of solar energy by photovoltaics (PVs) is seen in increase across the world since the technologies are getting mature and the material costs are being driven down. However, their operating costs are still very high, owing to their vulnerability to harsh outdoor environments they are working. Currently, the reliability of PV systems is the bottle-neck issue and is becoming a heated research topic. This chapter presents the state-of-the-art technologies for photovoltaic fault diagnosis, based on an intensive literature review and theoretical analysis. The chapter evaluates the fault mechanisms of photovoltaics at the cell, module, string and array levels. Analytical models are developed to understand the PV's terminal characteristics for diagnostic purposes. Offline and online fault diagnosis technologies are reviewed and compared based on the use of electrical sensors and thermal cameras. The aim of this chapter is to illustrate the PV faulty characteristics, to develop offline and online fault diagnosis, and to use the fault diagnosis information to achieve optimal operation (maximum power point tracking) under various PV faulty conditions, by using multi-disciplinary analytical, empirical and experimental methods.

Suggested Citation

  • Yihua Hu & Wenping Cao, 2016. "Theoretical Analysis and Implementation of Photovoltaic Fault Diagnosis," Chapters, in: Wenping Cao & Yihua Hu (ed.), Renewable Energy - Utilisation and System Integration, IntechOpen.
  • Handle: RePEc:ito:pchaps:97567
    DOI: 10.5772/62057
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    Cited by:

    1. Selma Tchoketch Kebir & Nawal Cheggaga & Adrian Ilinca & Sabri Boulouma, 2021. "An Efficient Neural Network-Based Method for Diagnosing Faults of PV Array," Sustainability, MDPI, vol. 13(11), pages 1-27, May.

    More about this item

    Keywords

    Fault diagnosis; MPPT; photovoltaics; solar energy; reliability;
    All these keywords.

    JEL classification:

    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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