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Effects of Power Tracking Algorithms on Lifetime of Power Electronic Devices Used in Solar Systems

Author

Listed:
  • Canras Batunlu

    (Department of Electrical and Electronics Engineering, Middle East Technical University, Northern Cyprus Campus, 99738 Kalkanli, Guzelyurt, Mersin 10, Turkey)

  • Mohamad Alrweq

    (Advanced Industrial Diagnostics Research Centre, School of Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK)

  • Alhussein Albarbar

    (Advanced Industrial Diagnostics Research Centre, School of Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK
    Faculty of Marine Studies, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

Abstract

In photovoltaic solar energy systems, power management algorithms (PMAs), usually called maximum power point tracking (MPPT) algorithms, are widely used for extracting maximum available power at every point in time. However, tracking the maximum power has negative effects on the availability of solar energy systems. This is due, mainly, to the created disturbances and thermal stresses on the associated power electronic converters (PECs). This work investigates the effects of PMA on the lifetime consumption, thermal stresses and failures on DC-DC converters used in solar systems. Firstly theoretical analysis and modelling of photovoltaic solar systems including converter’s electro thermal characteristics were developed. Subsequently, experiments on photovoltaic solar systems were carried out using two different PMAs, namely, perturb and observe (P&O) and incremental conductance (IC). Real-time data was collected, under different operating conditions, including thermal behavior using thermal imaging camera and dSPACE. Converters’ thermal cycling was found to be approximately 3 °C higher with the IC algorithm. The steady state temperature was 52.7 °C, for the IC while it was 42.6 °C for P&O. Although IC algorithm offers more accurate power management tool, it causes more severe thermal stresses which, in this study, has led to approximately 1.4 times greater life consumption compared to P&O.

Suggested Citation

  • Canras Batunlu & Mohamad Alrweq & Alhussein Albarbar, 2016. "Effects of Power Tracking Algorithms on Lifetime of Power Electronic Devices Used in Solar Systems," Energies, MDPI, vol. 9(11), pages 1-23, October.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:11:p:884-:d:81699
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    References listed on IDEAS

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    1. Ishaque, Kashif & Salam, Zainal & Lauss, George, 2014. "The performance of perturb and observe and incremental conductance maximum power point tracking method under dynamic weather conditions," Applied Energy, Elsevier, vol. 119(C), pages 228-236.
    2. Graditi, G. & Adinolfi, G. & Tina, G.M., 2014. "Photovoltaic optimizer boost converters: Temperature influence and electro-thermal design," Applied Energy, Elsevier, vol. 115(C), pages 140-150.
    3. Houssamo, Issam & Locment, Fabrice & Sechilariu, Manuela, 2010. "Maximum power tracking for photovoltaic power system: Development and experimental comparison of two algorithms," Renewable Energy, Elsevier, vol. 35(10), pages 2381-2387.
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    Cited by:

    1. Diego R. Espinoza Trejo & Ernesto Bárcenas & José E. Hernández Díez & Guillermo Bossio & Gerardo Espinosa Pérez, 2018. "Open- and Short-Circuit Fault Identification for a Boost dc/dc Converter in PV MPPT Systems," Energies, MDPI, vol. 11(3), pages 1-15, March.
    2. Zhigang Gao & Qi Lu, 2017. "Using an Integrated Script Control Unit (ISCU) to Assist the Power Electronics Education," Energies, MDPI, vol. 10(11), pages 1-19, November.
    3. Petr Mastny & Jan Moravek & Martin Vojtek & Jiri Drapela, 2017. "Hybrid Photovoltaic Systems with Accumulation—Support for Electric Vehicle Charging," Energies, MDPI, vol. 10(7), pages 1-24, June.

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