Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Electrical and Electronic Engineering(IJEREEE)

Monthly Journal for Electrical and Electronic Engineering

ISSN : 2395-2717 (Online)

Call For Paper : Vol 10, Issue 6, June 2023
A Modified P&O Maximum Power Point Tracking Method with Reduced Steady State Oscillation and Improved Tracking Efficiency

Author : V.Poojitha 1 J.Suresh 2

Date of Publication :1st December 2017

Abstract: This work proposes a method to reduce the steady state oscillation and to mitigate the probability of losing the tracking direction of the perturb and observed (P&O) based maximum power point tracking (MPPT) for PV system. The modified scheme retains the conventional P&O structure, but with a unique technique to dynamically alter the perturbation size. At the same time, a dynamic boundary condition is introduced to ensure that the algorithm will not diverge from its tracking locus. The modified P&O is simulated in Matlab Simulink and its performance is benchmarked using the standard MPPT efficiency (ηMPPT) calculation. Furthermore, the proposed concept is validated experimentally using a buck-boost converter, fed by a solar PV array simulator (PVAS). Based on the EN 50530 dynamic irradiance tests, the proposed method achieved an average ηMPPT almost 1.1% higher than the conventional P&O when irradiance changes slowly and about 12% higher under fast change of irradiance.

Reference :

    1.  T. Esram and P. L. Chapman, "Comparison of photovoltaic array maximum power point tracking techniques," Energy Conversion, IEEE Transactions on, vol. 22, pp. 439-449, 2007.
    2. Z. Salam, J. Ahmed, and B. S. Merugu, "The application of soft computing methods for MPPT of PV system: A technological and status review," Applied Energy, vol. 107, pp. 135-148, 2013.
    3. J. Ahmed and Z. Salam, "A critical evaluation on maximum power point tracking methods for partial shading in PV systems," Renewable and Sustainable Energy Reviews, vol. 47, pp. 933-953, 7, 2015.
    4. H. A. Sher, A. F. Murtaza, A. Noman, K. E. Addoweesh, K. Al-Haddad, and M. Chiaberge, "A New Sensorless Hybrid MPPTAlgorithm Based on Fractional Short-Circuit Current Measurement and P&O MPPT," Sustainable Energy, IEEE Transactions on, vol. PP, pp. 1-9, 2015.
    5. M. A. Elgendy, B. Zahawi, and D. J. Atkinson, "Assessment of Perturb and Observe MPPT Algorithm Implementation Techniques for PV Pumping Applications," Sustainable Energy, IEEE Transactions on, vol. 3, pp. 21-33, 2012.
    6. E. Koutroulis, K. Kalaitzakis, and N. C. Voulgaris, "Development of a microcontroller-based, photovoltaic maximum power point tracking control system," Power Electronics, IEEE Transactions on, vol. 16, pp. 46-54, 2001.
    7. M. Qiang, S. Mingwei, L. Liying, and J. M. Guerrero, "A Novel Improved Variable Step-Size Incremental-Resistance MPPT Method for PV Systems," Industrial Electronics, IEEE Transactions on, vol. 58, pp. 2427-2434, 2011.
    8. Syafaruddin, E. Karatepe, and T. Hiyama, "Artificial neural network-polar coordinated fuzzy controller based maximum power point tracking control under partially shaded conditions," Renewable Power Generation, IET, vol. 3, pp. 239-253, 2009.
    9. B. N. Alajmi, K. H. Ahmed, S. J. Finney, and B. W. Williams, "A Maximum Power Point Tracking Technique for Partially Shaded Photovoltaic Systems in Microgrids," Industrial Electronics, IEEE Transactions on, vol. 60, pp. 1596-1606, 2013.
    10. M. Seyedmahmoudian, R. Rahmani, S. Mekhilef, A. Maung Than Oo, A. Stojcevski, S. Tey Kok, et al., "Simulation and Hardware Implementation of New Maximum Power Point Tracking Technique for Partially Shaded PV System Using Hybrid DEPSO Method," Sustainable Energy, IEEE Transactions on, vol. 6, pp. 850-862, 2015.

Recent Article