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Maximum power tracking for photovoltaic power system: Development and experimental comparison of two algorithms

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  • Houssamo, Issam
  • Locment, Fabrice
  • Sechilariu, Manuela

Abstract

This work presents an experimental comparison of two algorithms developed in order to maximize the output power from a photovoltaic (PV) system for the same given set of conditions. The maximum power point tracking (MPPT) methods proposed in this study are two extended algorithms: Perturb and Observe and Incremental Conductance. The numerical modelling of the PV system shows the MPPT interest and then the extended MPPT algorithms are highlighted. In this paper, a PV system based on a boost converter as MPPT device is considered. A programmable DC electronic load is fed by two identical PV systems in which the MPPT control converter algorithms are different. This experimental platform operates under the same conditions such as changing solar radiation and cell temperature. The experimental results obtained with a dSPACE controller board show the MPPT energy efficiency of the proposed algorithms.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:35:y:2010:i:10:p:2381-2387
    DOI: 10.1016/j.renene.2010.04.006
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    References listed on IDEAS

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    1. Tafticht, T. & Agbossou, K. & Doumbia, M.L. & Chériti, A., 2008. "An improved maximum power point tracking method for photovoltaic systems," Renewable Energy, Elsevier, vol. 33(7), pages 1508-1516.
    2. Kim, Ho-sung & Kim, Jong-Hyun & Min, Byung-Duk & Yoo, Dong-Wook & Kim, Hee-Je, 2009. "A highly efficient PV system using a series connection of DC–DC converter output with a photovoltaic panel," Renewable Energy, Elsevier, vol. 34(11), pages 2432-2436.
    3. Kang, Feel-soon & Park, Sung-Jun & Cho, Su Eog & Kim, Jang-Mok, 2005. "Photovoltaic power interface circuit incorporated with a buck-boost converter and a full-bridge inverter," Applied Energy, Elsevier, vol. 82(3), pages 266-283, November.
    4. Hamrouni, N. & Jraidi, M. & Chérif, A., 2008. "New control strategy for 2-stage grid-connected photovoltaic power system," Renewable Energy, Elsevier, vol. 33(10), pages 2212-2221.
    5. Larbes, C. & Aït Cheikh, S.M. & Obeidi, T. & Zerguerras, A., 2009. "Genetic algorithms optimized fuzzy logic control for the maximum power point tracking in photovoltaic system," Renewable Energy, Elsevier, vol. 34(10), pages 2093-2100.
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