Abstract
The methods of tracking the maximum power point used in photovoltaic systems try to set the duty cycle value (δ) for the DC/DC converter that connects the generator with the load, so as to maximize the power delivered by this generator. This approach ignores the fact that the performance of the converter also depends on the service cycle (δ) with which it operates, so that the value of this variable that maximizes the power delivery of the generator does not always correspond to the value that provided by the maximum power delivery to the load.
In this paper a comparative study is made, based on the well-known algorithm “Perturb and Observed, P&O” of the performance obtained by measuring the output power of the generator, as it is traditionally done, and at the output of the converter, considering the characteristics of it, that is, its dependence on δ.
Using a boost converter for the connection between the photovoltaic generator and the load, the performances obtained for different atmospheric conditions (radiation and temperature) and different load profiles are shown. The results obtained are analyzed to quantify the loss of performance derived from the classic approach and the convenience or not of developing systems that determine the optimum duty cycle that maximizes the useful power, that is, to the output of the DC/DC converter.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Enrique, J.M., Durán, E., Sidrach, M., Andújar, J.M.: Theoretical assessment of the maximum power point tracking efficiency of photovoltaic facilities with different converter topologies. Sol. Energy 81(1), 31–38 (2007)
Enrique, J.M., Andújar, J.M., Durán, E., Martínez, M.A.: Maximum-power point tracker based on maximum-power point resistance modeling. Prog. Photovolt. 23, 1.940–1.955 (2015)
Enrique, J.M., Andújar, J.M., Martínez, M.A.: Reliable, fast and low cost maximum power point tracker for photovoltaic applications. Sol. Energy 84(1), 79–89 (2010)
Hohm, D.P., Ropp, M.E.: Comparative study of maximum power point tracking algorithms. Progress in Photovoltaics: Research and applications, November 2002
Abd El-Shafy, A.N., Faten, H.F., Abou El-Zahab, E.M.: Evaluation of a proper controller performance for maximum-power point tracking of a stand-alone PV system. Solar Energy Mater. Solar Cells 75(3–4), 723–728 (2003)
Hiyama, T., et al.: Evaluation of neural network based real time maximum power tracking controller for PV system. IEEE Trans. Energy Convers. 10(3), 543–548 (1995)
Hiyama, T., et al.: Identification of optimal operation point of PV modules using neural network for real time maximum power tracking control. IEEE Trans. Energy Convers. 10, 360–367 (1995)
Patcharaprakiti, N., Premrudeepreechacharn, S., Sriuthaisiriwong, Y.: Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system. Renewable Energy 30(11), 1771–1788 (2005)
Takashima, T., Tanaka, T., Amano, M., Ando, Y.: Maximum output control of photovoltaic (PV) array. In: Intersociety Energy Conversion Engineering Conference and Exhibit (IECEC), 35th, Las Vegas, NV, 24–28, pp. 380–383, July 2000
Veerachary, M., Senjyu, T., Uezato, K.: Maximum power point tracking of coupled inductor interleaved boost converter supplied PV system. IEE Proc.-Electr. Power Appl. 150(1), 71–80 (2003)
Enrique J.M., Barragán A.J., Duran E., Andújar J.M.: Theoretical Assessment of DC/DC Power Converters’ Basic Topologies. A Common Static Model. Appl. Sci. 2018, Aug 19 (2018)
Enrique, J.M., et al.: Comparative analysis of the tracking efficiency of a maximum-power point tracker based on maximum power point resistance modeling versus a classic P&O. In: Mortal, A., et al. (eds.) INCREaSE 2017, Faro, Portugal. Springer, Cham (2018)
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Ríos, J., Enrique, J.M., Vivas, F.J., Andújar, J.M. (2020). Comparative Analysis of the Efficiency of a Classic MPPT System with Location of Sensors at the Output of the Converter, Compared to the Traditional Approach of Measurements at the Output of the Generator. In: Monteiro, J., et al. INCREaSE 2019. INCREaSE 2019. Springer, Cham. https://doi.org/10.1007/978-3-030-30938-1_30
Download citation
DOI: https://doi.org/10.1007/978-3-030-30938-1_30
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-30937-4
Online ISBN: 978-3-030-30938-1
eBook Packages: EnergyEnergy (R0)