Experimental investigation of the incremental conductance maximum power point tracking algorithm at high perturbation rates

Mohammed Ali Elgendy; David John Atkinson; Bashar Zahawi

Experimental investigation of the incremental conductance maximum power point tracking algorithm at high perturbation rates

View Fulltext

Author(s): Mohammed Ali Elgendy ^{1, 2} ; David John Atkinson ¹ ; Bashar Zahawi ³
- Affiliations: 1: School of Electrical and Electronic Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK ;
  2: New and Renewable Energy Department, Desert Research Centre, Cairo 11753, Egypt ;
  3: Department of Electrical and Computer Engineering, Khalifa University, Abu Dhabi 127788, UAE
Source: Volume 10, Issue 2, February 2016, p. 133 – 139
DOI: 10.1049/iet-rpg.2015.0132 , Print ISSN 1752-1416, Online ISSN 1752-1424

Received 27/03/2015, Accepted 14/07/2015, Revised 26/06/2015, Published 01/02/2016

One of the most commonly utilised maximum power point tracking (MPPT) algorithms for photovoltaic (PV) generators is the incremental conductance (INC) algorithm. Yet, the operating characteristics of this algorithm at high perturbation frequencies, when the system response to MPPT perturbations is never allowed to settle, have not been addressed in the literature. This study characterises system behaviour in this operating mode experimentally for a standalone PV system with a dc motor–pump load. Results show that the INC algorithm operating at a high perturbation rate offers higher energy utilisation efficiency and better system performance despite the resulting non-periodic waveforms of the system.

References

1. 1)
  - 24. Ahmed, A., Ran, L., Moon, S., Park, J.-H.: ‘A fast PV power tracking control algorithm with reduced power mode’, IEEE Trans. Energy Convers., 2013, 28, (3), pp. 565–575 (doi: 10.1109/TEC.2013.2266343).
2. 2)
  - 5. Sekhar, P.C., Mishra, S.: ‘Takagi–Sugeno fuzzy-based incremental conductance algorithm for maximum power point tracking of a photovoltaic generating system’, IET Renew. Power Gener., 2014, 8, (8), pp. 900–914 (doi: 10.1049/iet-rpg.2013.0219).
3. 3)
  - 16. Elgendy, M.A., Zahawi, B., Atkinson, D.J.: ‘Operating characteristics of the P&O algorithm at high perturbation frequencies for standalone PV systems’, IEEE Trans. Energy Convers., 2015, 30, (1), pp. 189–198 (doi: 10.1109/TEC.2014.2331391).
4. 4)
  - 17. Elgendy, M.A., Zahawi, B., Atkinson, D.J.: ‘Assessment of perturb and observe MPPT algorithm implementation techniques for PV pumping applications’, IEEE Trans. Sustain. Energy, 2012, 3, (1), pp. 21–33 (doi: 10.1109/TSTE.2011.2168245).
5. 5)
  - 19. Tse, C.K.: ‘Complex behavior of switching power converters’ (CRC Press, London, 2003).
6. 6)
  - 20. Hamill, D.C., Banerjee, S., Verghese, G.C.: ‘Nonlinear phenomena in power electronics; attractors, bifurcations, chaos, and nonlinear control’ (John Wiley and Sons, Hoboken, NJ, 2001).
7. 7)
  - 4. Faraji, R., Rouholamini, A., Naji, H.R., et al: ‘FPGA-based real time incremental conductance maximum power point tracking controller for photovoltaic systems’, IET Renew. Power Gener., 2014, 7, (5), pp. 1294–1304.
8. 8)
  - 6. Brunton, S.L., Rowley, C.W., Kulkarni, S.R., et al: ‘Maximum power point tracking for photovoltaic optimization using ripple-based extremum seeking control’, IEEE Trans. Power Electron., 2010, 25, (10), pp. 2531–2539 (doi: 10.1109/TPEL.2010.2049747).
9. 9)
  - 35. Sera, D., Mathe, L., Kerekes, T., Spataru, S.V., Teodorescu, R.: ‘On the perturb-and-observe and incremental conductance MPPT methods for PV systems’, IEEE J. Photovolt., 2013, 3, (3), pp. 1070–1078 (doi: 10.1109/JPHOTOV.2013.2261118).
10. 10)
  - 14. Mei, Q., Shan, M., Liu, L., et al: ‘A novel improved variable step-size incremental-resistance MPPT method for PV systems’, IEEE Trans. Ind. Electron., 2011, 58, (6), pp. 2427–2434 (doi: 10.1109/TIE.2010.2064275).
11. 11)
  - 18. Elgendy, M.A., Zahawi, B., Atkinson, D.J.: ‘Comparison of directly connected and constant voltage controlled photovoltaic pumping systems’, IEEE Trans. Sustain. Energy, 2010, 1, (3), pp. 184–192 (doi: 10.1109/TSTE.2010.2052936).
12. 12)
  - 11. Kjaer, S.B.: ‘Evaluation of the ‘Hill Climbing’ and the ‘Incremental Conductance’ maximum power point trackers for photovoltaic power systems’, IEEE Trans. Energy Convers.,2012, 27, (4), pp. 922–929 (doi: 10.1109/TEC.2012.2218816).
13. 13)
  - 13. Elgendy, M.A., Zahawi, B., Atkinson, D.J.: ‘Assessment of the incremental conductance maximum power point tracking algorithm’, IEEE Trans. Sustain. Energy,2013, 4, (1), pp. 108–117 (doi: 10.1109/TSTE.2012.2202698).
14. 14)
  - 3. Safari, A., Mekhilef, S.: ‘Simulation and hardware implementation of incremental conductance MPPT with direct control method using cuk converter’, IEEE Trans. Ind. Electron., 2011, 58, (4), pp. 1154–1161 (doi: 10.1109/TIE.2010.2048834).
15. 15)
  - 7. Hussein, K.H., Muta, I., Hoshino, T., Osakada, M.: ‘Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions’, IEE Proc. Gener. Transm. Distrib., 1995, 142, (1), pp. 59–64 (doi: 10.1049/ip-gtd:19951577).
16. 16)
  - 17. Lee, K.-J., Kim, R.-Y.: ‘An adaptive maximum power point tracking scheme based on a variable scaling factor for photovoltaic systems’, IEEE Trans. Energy Convers., 2012, 27, (4), pp. 1002–1008 (doi: 10.1109/TEC.2012.2211359).
17. 17)
  - 1. de Brito, M.A.G., Galotto, L.Jr., Sampaio, L.P., et al: ‘Evaluation of the main MPPT techniques for photovoltaic applications’, IEEE Trans. Ind. Electron., 2013, 60, (3), pp. 1156–1167 (doi: 10.1109/TIE.2012.2198036).
18. 18)
  - 16. Liu, F., Duan, S., Liu, F., Liu, B., Kang, Y.: ‘A variable step size INC MPPT method for PV systems’, IEEE Trans. Ind. Electron., 2008, 55, (7), pp. 2622–2628 (doi: 10.1109/TIE.2008.920550).
19. 19)
  - 18. Kish, G., Lee, J., Lehn, P.: ‘Modelling and control of photovoltaic panels utilising the incremental conductance method for maximum power point tracking’, IET Renew. Power Gener., 2012, 6, (4), pp. 259–266 (doi: 10.1049/iet-rpg.2011.0052).
20. 20)
  - 4. Subudhi, B., Pradhan, R.: ‘A comparative study on maximum power point tracking techniques for photovoltaic power systems’, IEEE Trans. Sustain. Energy, 2013, 4, (1), pp. 89–98 (doi: 10.1109/TSTE.2012.2202294).

Login

Not registered yet?

Share

Tools

Login to add to favourites

Key

Experimental investigation of the incremental conductance maximum power point tracking algorithm at high perturbation rates

References

Related content