A new computing perturb-and-observe-type algorithm for MPPT in solar photovoltaic systems and evaluation of its performance against other variants by experimental validation

Document Type : Article

Authors

1 Department of Electrical Engineering, Mehran University of Engineering and Technology, Jamshoro, Pakistan

2 Department of Electrical Engineering, Mehran University of Engineering and Technology, Jamshoro, Pakistan.

3 b. Department of Basic Sciences and Related Studies, Mehran University of Engineering and Technology, Jamshoro, Pakistan.; Supply Chain and Operations Management Research Group, Mehran University of Engineering and Technology, Jamshoro, Pakistan.

Abstract

Solar energy is becoming a mainstream energy source with considerable attention from analysts these days. The photovoltaic (PV) system’s output power fluctuates with temperature and sunlight affecting its efficiency. To extract accessible power by PV system, maximum power point tracking (MPPT) method is used. A famous strategy, regularly utilized for simplicity and low cost, is the Perturb and Observe (PO) algorithm. However, there are a few downsides of PO algorithm, which result in power loss and low efficiency. We evaluate the performance of the conventional PO against some of its enhancements, specially a recent PO-variant, for MPPT. Experiments are conducted at different irradiances and temperature levels in two ways: with load and with battery, by conventional PO and its variants. Outlining strategy to reach optima and stability of the methods are discussed. The PO variants are rated from view-points of stability, accuracy, post-MPP oscillations and tracking speed. The recommendations can prove to be fruitful for the practitioners working with MPPT in PV solar systems using PO algorithms. The validation of simulation results has been made using the real time experimental results. The new PO-variant appears to be a reliable computing algorithm for MPPT in solar PV systems.

Keywords

References

References:
1. Azab, M. "A new maximum power point tracking for photovoltaic systems", WASET. ORG, 34, pp. 571-574 (2008).
2. Awan, M.M., Afzal, M., and Awan, F.G. "Improvement of maximum power point tracking perturb and observe algorithm for a standalone solar photovoltaic system", Mehran University Research Journal of Engineering and Technology, 36(3), pp. 501-510 (2017).
3. Putri, R.I., Wibowo, S., and Rifa'I, M. "Maximum power point tracking for photovoltaic using incremental conductance method", Energy Procedia, 68, pp. 22- 30 (2015).
4. Babaa, S.E., Armstrong, M., and Pickert, W. "Overview of maximum power point tracking control methods for PV systems", Journal of Power and Energy Engineering, 2(8), p. 59 (2014).
5. Rezk, H. and Eltamaly, A.M. "A comprehensive comparison of different MPPT techniques for photovoltaic systems", Solar Energy, 112, pp. 1-11 (2015).
6. Bahrami, M., Gavagsaz-Ghoachani, R., Zandi, M., et al. "Hybrid maximum power point tracking algorithm with improved dynamic performance", Renewable Energy,130, pp. 982-991 (2019). 
7. Chaieb, H. and Sakly, A. "A novel MPPT method for photovoltaic application under partial shaded conditions", Solar Energy, 159, pp. 291-299 (2018).
8. Salas, V., Olias, E., Barrado, A., et al. "Review of the maximum power point tracking algorithms for standalone photovoltaic systems", Solar Energy Materials and Solar Cells, 90(11), pp. 1555-1578 (2006).
9. Thenkani, A. and Kumar, N.S. "Design of optimum maximum power point tracking algorithm for solar panel", International Conference on Computer, Communication and Electrical Technology (ICCCET), IEEE (2011).
10. Abdel-Salam, M., El-Mohandes, M., and Goda, M. "An improved perturb-and-observe based MPPT method for PV systems under varying irradiation levels", Solar Energy, 171, pp. 547-561 (2018).
11. Devi, V.K., Premkumar, K., Beevi, A.B., et al. "A modified perturb & observe MPPT technique to tackle steady state and rapidly varying atmospheric conditions", Solar Energy, 157, pp. 419-426 (2017).
12. Alik, R. and Jusoh, A. "Modified perturb and observe (P&O) with checking algorithm under various solar irradiation", Solar Energy, 148, pp. 128-139(2017).
13.  Ozcelik, M.A. and Yilmaz, A.S. "Effect of maximum power point tracking in photovoltaic systems and its improving and its application of wireless energy transmission", Journal of Clean Energy Technologies, 3(6), pp. 441-416 (2015).
14. Soulatiantork, P. "Performance comparison of a two PV module experimental setup using a modified MPPT algorithm under real outdoor conditions", Solar Energy, 169, pp. 401-410 (2018).
15. Alik, R. and Jusoh, A. "An enhanced P&O checking algorithm MPPT for high tracking efficiency of partially shaded PV module", Solar Energy, 163, pp. 570-580 (2018).
16. Rajani, S.V. and Pandya, V.J. "Experimental verification of the rate of charge improvement using photovoltaic MPPT hardware for the battery and ultracapacitor storage devices", Solar Energy, 139, pp. 142-148 (2016).
17. Tang, R., Wu, Z., and Fang, Y. "Configuration of marine photovoltaic system and its MPPT using model predictive control", Solar Energy, 158, pp. 995-1005 (2017).
18. Shahid, H., Kamran, M., Mehmood, Z., et al. "Implementation of the novel temperature controller and incremental conductance MPPT algorithm for indoor photovoltaic system", Solar Energy, 163, pp. 235-242 (2018).
19. Arsalan, M., Iftikhar, R., Ahmad, I., et al. "MPPT for photovoltaic system using nonlinear backstepping controller with integral action", Solar Energy, 170, pp. 192-200 (2018).
20. El-Khatib, M.F., Shaaban, S., and El-Sebah, M.I. "A proposed advanced maximum power point tracking control for a photovoltaic-solar pump system", Solar Energy, 158, pp. 321-331 (2017).
21. Gomathy, S., Saravanan, S., and Thangavel, S. "Design and implementation of maximum power point tracking (MPPT) algorithm for a standalone PV system", International Journal of Scientific & Engineering Research, 3(3), pp. 1-7 (2012).
22. Swathy, A. and Archana, R. "Maximum power point tracking using modified incremental conductance for solar photovoltaic system", Int. J. Eng. Innov. Technol.(IJEIT), 3(2), pp. 333-337 (2013).
23. Esram, T. and Chapman, P.L. "Comparison of photovoltaic array maximum power point tracking techniques", IEEE Transactions on Energy Conversion, 22(2), pp. 439-449 (2007).
24. Wanzeller, M.G., Alves, R.N.C., da Fonseca Neto, J.V., et al. "Current control loop for tracking of maximum Alves, power point supplied for photovoltaic array", IEEE Transactions on Instrumentation and Measurement, 53(4), pp. 1304-1310 (2004).
25. Beydaghi, S., Vahidi, B., Ankouti, Y., et al. "Simulation of improved perturb and observe MPPT using Sepic converter", Science International, 27(3) (2015).
26. Santos, T.J.A. and Galhardo, A. "A perturbation and observation routine used to control a power converter", Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC), IEEE (2014).
27. Abdelsalam, A.K., Massoud, A.M., Ahmed, S., et al. "High-performance adaptive perturb and observe MPPT technique for photovoltaic-based microgrids", IEEE Transactions on Power Electronics, 26(4), pp. 1010-1021 (2011).
Scientia Iranica
Volume 26, Special Issue on machine learning, data analytics, and advanced optimization techniques...
Transactions on Computer Science & Engineering and Electrical Engineering (D)
November and December 2019
Pages 3656-3671

Files

Share

How to cite

Statistics