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Static and dynamic MPP-tracking efficiency of PV-inverter using recorded irradiance

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EN
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EN
This paper investigates the energy losses introduced by Maximum Power Point Tracking operation of photovoltaic (PV) inverter. In contrast to other studies, this evaluation has been done with the recorded real-life solar irradiance data applied to the simulation of the PV-generator and tracking algorithm. The true MPP output of photovoltaic generator has been calculated with electro-thermal model and the simulation has been carried out with 1 s time resolution. The efficiency results have been presented for both static and dynamic MPP-tracking investigated With basic and simplified Perturb&Observe algorithm with several tracking speed rates. In addition to the simulation, the inverter efficiency measurements for field- installed inverter have been presented.
Twórcy
autor
  • Department of Microelectronics and Computer Science, Faculty of Electrical, Electronic, Computer and Control Engineering, Lodz University of Technology, Wólczańska 221/223, 90-924 Lodz, Poland
  • Department of Microelectronics and Computer Science, Faculty of Electrical, Electronic, Computer and Control Engineering, Lodz University of Technology, Wólczańska 221/223, 90-924 Lodz, Poland
Bibliografia
  • [1] W. Marańda, G. Jabłoński, and D. Makowski, “1kWp PV System at Technical University of Lodz in Poland,” in Proceedings of the I9th European PV Solar Energy Conference, Paris, vol. 3, 2004.
  • [2] INTERNATIONAL STANDARD IEC 61683, Photovoltaic systems, Power conditioners, Procedure for measuring efficiency, 1999-11.
  • [3] R. Hotopp, Private Photovoltaik-Stromerzeugungsanlagen im Netzparallelbetrieb. RWE Energie AG, Essen.
  • [4] V. Salas, E. Olias, M. Alonso-Abella, and F. Chenlo, “Analysis Between Energy Efficiency and European Efficiency,” in Proceedings of ISES Solar World Congress, Beijing, China, 2007.
  • [5] H. Haeberlin, L. Borgna, M. Kaempfer, and U. Zwahlen, “Total Efficiency UTQT - a New Quantity For Better Characterisation Of Grid-Connected PV Inverters,” in Proceedings of 20th European PV Solar Energy Conference, Barcelona, Spain, 2005.
  • [6] W. Marańda and M. Piotrowicz, “Extraction of Thermal Model Parameters for Field-Installed Photovoltaic Module,” in Proceedings 27th International Conference on Microelectronics (MIEL), Nis, Serbia, 2010.
  • [7] M. G. Villalva, J. R. Gazoli, and E. R. Filho, “Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays,” IEEE Trans. Power Electron., vol. 24, no. 5, pp. 1198-1208, 2009.
  • [8] W. Marańda, “Numerical Modeling of Photovoltaic Devices with Python Scripting Language,” in Proceedings of the XVII International Conference on Information Technology Systems (SiS), Lodz, Poland. Dept. of Applied Computer Science, Lodz University of Technology, 2010.
  • [9] V. Salas, M. Alonso-Abella, F. Chenlo, and E. Olias, “Analysis of the maximum power point tracking in the photovoltaic grid inverters of 5 kW,” Renewable Energy, vol. 34, pp. 2366-2372, 2009.
  • [10] V. Salas, E. Olias, A. Barrado, and A. Lazaro, “Review of the maximum power point tracking algorithms for stand-alone photovoltaic systems,” Solar Energy Materials & Solar Cells, vol. 90, pp. 1555-1578, 2006.
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