Skip to main content

Performance Improvement of Perturb and Observe Maximum Power Point Tracking Technique for Solar PV Applications

  • Chapter
  • First Online:
Book cover Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems

Part of the book series: Green Energy and Technology ((GREEN))

Abstract

The renewable energy market has increased significantly over the last decade, and the solar photovoltaic (PV) power generation is becoming important in many countries globally with a particular interest in the field of distributed electric power generation. A regular and accurate examination and evaluation of the photovoltaic system performance and efficiency are very essential in the sense that they provide vital information of the system’s quality evaluation for the users, installers, as well as the manufacturers. The maximum power point of a solar panel varies with the irradiation and temperature and the control algorithms are commonly used for the maximization of the power extraction from PV arrays known as maximum power point tracking (MPPT) algorithms. Perturb and Observe (P&O) algorithm is one of the popular techniques frequently used due to its easy implementation and low cost. The MPPT technique is mainly used for obtaining the maximum power from the solar PV module and conversion circuit to the load and improving the power quality of PV power generation for grid connection. Perturb and Observe maximum power point tracking (MPPT) is extensively used in charge controllers for extracting maximum power from photovoltaic (PV) module irrespective of irradiance, temperature and load variation. The standard P&O MPPT technique has drawbacks bordering on fast convergence time to a maximum power point, poor system response to fast-changing irradiance and steady-state oscillation with a fixed step size. This chapter discusses the detailed operation and implementation of an improved P&O algorithm technique to resolve the various challenges of the standard P&O algorithm. This technique segments the operational region of the PV array into four operating sectors based on the sector location from the maximum power point (MPP), step size modifications are implemented. Furthermore, the critical comparison is made between the new P&O method and the standard P&O method. Finally, the hardware implementation of both MPPT algorithms is discussed in order to evaluate their performance and efficiency. The measured results show that the average efficiency of the proposed system is 96.89% which is more than 4% higher than the standard system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Abbreviations

N pr :

Parallel connected strings

I :

Solar PV output current

I sc :

Short circuit current (A)

V pv :

Output voltage of solar PV

MPPT:

Maximum power point tracking

InCond.:

Incremental conductance

P&O:

Perturb and observe

q :

Electron charge

FCIC:

Fast-changing irradiance condition

UIC:

Uniform irradiance condition

STC:

Standard test conditions

N se :

Series connected strings

I PH :

Light-generated current

I D :

Diode saturation current

V oc :

Open circuit voltage (V)

A :

Diode ideality factor

R s :

Series resistance

R sh :

Shunt resistance

G :

Average solar irradiation

K :

Boltzmann’s constant

T :

Cell temperature

BC:

Boost converter

References

  1. United Nations Environment Programme [Ed.] Frankfurt School of Finance and Management and Bloomberg New Energy (2006) Global trends in renewable energy investment, p 84

    Google Scholar 

  2. Said SAM, Hassan G, Walwil HM, Al-Aqeeli N (2018) The effect of environmental factors and dust accumulation on photovoltaic modules and dust-accumulation mitigation strategies. Renew Sustain Energy Rev 82:743–760

    Article  Google Scholar 

  3. Verma S, Verma HK (2013) Modeling & analysis of standalone photovoltaic system, no 2, pp 259–265

    Google Scholar 

  4. Sulaiman SA, Singh AK, Mokhtar MMM, Bou-Rabee MA (2014) Influence of dirt accumulation on performance of PV panels. Energy Procedia 50:50–56

    Article  Google Scholar 

  5. Enrique JM, Andújar JM, Bohó Rquez MA (2009) A reliable, fast and low cost maximum power point tracker for photovoltaic applications. Sol Energy 84:79–89

    Article  Google Scholar 

  6. Liu L, Meng X, Liu C (2015) A review of maximum power point tracking methods of PV power system at uniform and partial shading. Renew Sustain Energy Rev 53:1500–1507

    Article  Google Scholar 

  7. Belhachat F, Larbes C (2018) Review of global maximum power point tracking techniques of photovoltaic system under partial shading conditions in renewable and sustainable energy R. Renew Sustain Energy Rev 92:513–553

    Google Scholar 

  8. Verma D, Nema S, Shandilya AM, Dash SK (2015) Maximum power point tracking (MPPT) techniques: recapitulation in solar photovoltaic systems. Renew Sustain Energy Rev 54:1018–1034

    Article  Google Scholar 

  9. Ram JP, Babu TS, Rajasekar N (2017) A comprehensive review on solar PV maximum power point tracking techniques. Renew Sustain Energy Rev 67:826–847

    Article  Google Scholar 

  10. Ramli MAM, Twaha S, Ishaque K, Al-Turki YA (2017) A review on maximum power point tracking for photovoltaic systems with and without shading conditions. Renew Sustain Energy Rev 67:144–159

    Article  Google Scholar 

  11. Karami N, Moubayed N, Outbib R (2017) General review and classification of different MPPT techniques. Renew Sustain Energy Rev 68(2015):1–18

    Article  Google Scholar 

  12. Ezinwanne O, Zhongwen F, Zhijun L (2017) Energy performance and cost comparison of MPPT techniques for photovoltaics and other applications. Energy Procedia 107:297–303

    Article  Google Scholar 

  13. Islam H et al (2018) Performance evaluation of maximum power point tracking approaches and photovoltaic systems. Energies 11(2):365

    Article  Google Scholar 

  14. Kamran M, Mudassar M, Rayyan Fazal M, Usman Asghar M, Bilal M, Asghar R (2018) Implementation of improved Perturb & Observe MPPT technique with confined search space for standalone photovoltaic system

    Google Scholar 

  15. John R, Mohammed SS, Zachariah R (2018) Variable step size Perturb and observe MPPT algorithm for standalone solar photovoltaic system. In: Proceedings 2017 IEEE international conference intelligent techniques control optimization and signal process (INCOS 2017), pp 1–6

    Google Scholar 

  16. Piegari L et al (2015) Optimized adaptive perturb and observe maximum power point tracking control for photovoltaic generation. Energies 8(5):3418–3436

    Article  Google Scholar 

  17. Loukriz A, Haddadi M, Messalti S (2016) Simulation and experimental design of a new advanced variable step size incremental conductance MPPT algorithm for PV systems. ISA Trans 62:30–38

    Article  Google Scholar 

  18. Soon Tey K, Mekhilef S (2014) Modified incremental conductance MPPT algorithm to mitigate inaccurate responses under fast-changing solar irradiation level. Sol Energy 101:333–342

    Article  Google Scholar 

  19. Bendib B, Belmili H, Krim F (2015) A survey of the most used MPPT methods: and advanced algorithms applied for photovoltaic systems. Renew Sustain Energy Rev 45:637–648

    Article  Google Scholar 

  20. Kabalci E (2017) Maximum power point tracking (MPPT) algorithms for photovoltaic systems. Springer, Cham, pp 205–234

    Google Scholar 

  21. Kivimaki J, Kolesnik S, Sitbon M, Suntio T, Kuperman A (2017) Revisited perturbation frequency design guideline for direct fixed-step maximum power point tracking algorithms. IEEE Trans Ind Electron 64(6):4601–4609

    Article  Google Scholar 

  22. Elgendy MA, Atkinson DJ, Zahawi B (2016) Experimental investigation of the incremental conductance maximum power point tracking algorithm at high perturbation rates. IET Renew Power Gener 10(2):133–139

    Article  Google Scholar 

  23. Ahmed J, Salam Z (2015) An improved perturb and observe (P&O) maximum power point tracking (MPPT) algorithm for higher efficiency. Appl Energy 150:97–108

    Article  Google Scholar 

  24. Kumar K, Prabhu KR, Ramesh Babu N. Design and analysis of modified single P&O MPPT control algorithm for a standalone hybrid solar and wind energy conversion system. Gazi Univ J Sci 30(4):296–312

    Google Scholar 

  25. Alik R, Jusoh A (2017) Modified perturb and observe (P&O) with checking algorithm under various solar irradiation. Sol Energy 148:128–139

    Article  Google Scholar 

  26. Akbar Ghassami A, Mohammad Sadeghzadeh S, Soleimani A (2013) A high performance maximum power point tracker for PV systems. Int J Electr Power Energy Syst 53:237–243

    Article  Google Scholar 

  27. Ahmed J, Ahmed J, Member S, Salam Z (2016) A modified P&O maximum power point tracking method with reduced steady state oscillation and improved tracking efficiency. IEEE Trans Sustain Energy 3029(January):1–10

    Google Scholar 

  28. Abdullahi N, Saha C, Jinks R (2017) Modelling and performance analysis of a silicon PV module, vol 033501, pp 1–11

    Article  Google Scholar 

  29. Tan CW, Green TC, Hernandez-Aramburo CA (2008) Analysis of perturb and observe maximum power point tracking algorithm for photovoltaic applications. In: 2008 IEEE 2nd international power energy conference, no PECon 08, pp 237–242

    Google Scholar 

  30. Abdourraziq MA, Ouassaid M, Maaroufi M, Abdourraziq S (2013) Modified P&O MPPT technique for photovoltaic systems. In: IEEE, pp 20–23

    Google Scholar 

  31. Belkaid A, Colak I, Isik O (2016) Photovoltaic maximum power point tracking under fast varying of solar radiation

    Google Scholar 

  32. Eltamaly AM, Farh HMH, Othman MF (2018) A novel evaluation index for the photovoltaic maximum power point tracker techniques. Sol. Energy 174:940–956

    Article  Google Scholar 

  33. Ishaque K, Salam Z, Lauss G (2014) The performance of perturb and observe and incremental conductance maximum power point tracking method under dynamic weather conditions. Appl Energy 119:228–236

    Article  Google Scholar 

  34. Femia N, Petrone G, Spagnuolo G, Vitelli M (2013) Power electronics and control techniques for maximum energy harvesting in photovoltaic systems, USA, FL. CRC, Boca Raton

    Google Scholar 

  35. Farh HMH, Eltamaly AM, Othman MF (2018) Hybrid PSO-FLC for dynamic global peak extraction of the partially shaded photovoltaic system

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ihechiluru Fortune Anya .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Anya, I.F., Saha, C., Ahmed, H., Huda, M.N., Rajbhandari, S. (2020). Performance Improvement of Perturb and Observe Maximum Power Point Tracking Technique for Solar PV Applications. In: Eltamaly, A., Abdelaziz, A. (eds) Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-05578-3_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-05578-3_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05577-6

  • Online ISBN: 978-3-030-05578-3

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics