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A Novel Maximum Power Point Tracking Method for Photovoltaic Application Using Secant Incremental Gradient Based on Newton Raphson

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Solar Photovoltaic Power Plants

Part of the book series: Power Systems ((POWSYS))

Abstract

In this chapter, some common methods of maximum power point tracking (MPPT) of the photovoltaic system such as perturb and observe, particle swarm optimization and grey wolf optimizer are described to solve the MPPT problem. Also, a novel method is proposed for MPPT of PV system titled secant incremental gradient based on Newton Raphson (SIGBNR) method. SIGBNR uses the chord slope passing through two points of the function instead of using the explicit derivative of the function, which is equal to tangent line tilt of the function. In addition to high convergence speed, the proposed method requires less computation and also has a higher accuracy in the number of repetitions when it solves MPPT problems. The results arising from the proposed method are compared and analyzed with the other methods to evaluate its performance for solving MPPT problem. The proficiency of the methods is investigated in different scenarios of partial shading condition and compared in view of various features especially efficiency and convergence velocity. The results showed that the proposed method has better performance in achieving to global maximum power point with more tracking efficiency and convergence speed than the other methods. Also, superior capabilities of the proposed method are demonstrated.

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References

  1. Subudhi Bidyadhar, Pradhan Raseswari (2013) A comparative study on maximum power point tracking techniques for photovoltaic power systems. IEEE Trans Sustain Energy 4(1):89–98

    Article  Google Scholar 

  2. Verma D, Nema S, Shandilya AM, Dash SK (2016) Maximum power point tracking (MPPT) techniques: recapitulation in solar photovoltaic systems. Renew Sustain Energy Rev 54:1018–1034

    Article  Google Scholar 

  3. Kheldoun A, Bradai R, Boukenoui R, Mellit A (2016) A new golden section method-based maximum power point tracking algorithm for photovoltaic systems. Energy Convers Manag 111:125–136

    Article  Google Scholar 

  4. Seyedmahmoudian M, Rahmani R, Mekhilef S, Oo AMT, Stojcevski A, Soon TK, Ghandhari AS (2015) Simulation and hardware implementation of new maximum power point tracking technique for partially shaded PV system using hybrid DEPSO method. IEEE Trans Sustain Energy 6(3):850–862

    Article  Google Scholar 

  5. Linus RM, Damodharan P (2015) Maximum power point tracking method using a modified perturb and observe algorithm for grid connected wind energy conversion systems. IET Renew Power Gener 9(6):682–689

    Article  Google Scholar 

  6. Alajmi BN, Ahmed KH, Finney SJ, Williams BW (2011) Fuzzy-logic-control approach of a modified hill-climbing method for maximum power point in microgrid standalone photovoltaic system. IEEE Trans Power Electron 26(4):1022–1030

    Article  Google Scholar 

  7. Elgendy MA, Zahawi B, Atkinson DJ (2013) Assessment of the incremental conductance maximum power point tracking algorithm. IEEE Trans Sustain Energy 4(1):108–117

    Article  Google Scholar 

  8. Casadei D, Grandi G, Rossi C (2006) Single-phase single-stage photovoltaic generation system based on a ripple correlation control maximum power point tracking. IEEE Trans Energy Convers 21(2):562–568

    Article  Google Scholar 

  9. Husain MA, Tariq A, Hameed S, Arif MSB, Jain A (2017) Comparative assessment of maximum power point tracking procedures for photovoltaic systems. Green Energy Environ 2(1):5–17

    Article  Google Scholar 

  10. Montecucco A, Knox AR (2015) Maximum power point tracking converter based on the open-circuit voltage method for thermoelectric generators. IEEE Trans Power Electron 30(2):828–839

    Article  Google Scholar 

  11. Punitha K, Devaraj D, Sakthivel S (2013) Artificial neural network based modified incremental conductance algorithm for maximum power point tracking in photovoltaic system under partial shading conditions. Energy 62:330–340

    Article  Google Scholar 

  12. Algazar MM, El-Halim HA, Salem MEEK (2012) Maximum power point tracking using fuzzy logic control. Int J Electr Power Energy Syst 39(1):21–28

    Article  Google Scholar 

  13. Sundareswaran K, Palani S (2015) Application of a combined particle swarm optimization and perturb and observe method for MPPT in PV systems under partial shading conditions. Renew Energy 75:308–317

    Article  Google Scholar 

  14. Daraban S, Petreus D, Morel C (2014) A novel MPPT (maximum power point tracking) algorithm based on a modified genetic algorithm specialized on tracking the global maximum power point in photovoltaic systems affected by partial shading. Energy 74:374–388

    Article  Google Scholar 

  15. Mohanty S, Subudhi B, Ray PK (2016) A new MPPT design using grey wolf optimization technique for photovoltaic system under partial shading conditions. IEEE Trans Sustain Energy 7(1):181–188

    Article  Google Scholar 

  16. Kamarzaman NA, Tan CW (2014) A comprehensive review of maximum power point tracking algorithms for photovoltaic systems. Renew Sustain Energy Rev 37:585–598

    Article  Google Scholar 

  17. Abdelsalam AK, Massoud AM, Ahmed S, Enjeti PN (2011) High-performance adaptive perturb and observe MPPT technique for photovoltaic-based microgrids. IEEE Trans Power Electron 4:26

    Google Scholar 

  18. Rajani SV, Pandya VJ (2015) Simulation and comparison of perturb and observe and incremental conductance MPPT algorithms for solar energy system connected to grid. Sadhana 40(1):139–153

    Article  Google Scholar 

  19. Eberhart R, Kennedy J (1995) A new optimizer using particle swarm theory. In: MHS’95. Proceedings of the sixth international symposium on micro machine and human science, IEEE, pp 39–43

    Google Scholar 

  20. Khaehintung N, Kunakorn A, Sirisuk P (2010) A novel fuzzy logic control technique tuned by particle swarm optimization for maximum power point tracking for a photovoltaic system using a current-mode boost converter with bifurcation control. Int J Control Autom Syst 8(2):289–300

    Article  Google Scholar 

  21. Mirjalili S, Mirjalili SM, Lewis A (2014) Grey wolf optimizer. Adv Eng Softw 69:46–61

    Article  Google Scholar 

  22. Kamboj VK, Bath SK, Dhillon JS (2016) Solution of non-convex economic load dispatch problem using Grey Wolf Optimizer. Neural Comput Appl 27(5):1301–1316

    Article  Google Scholar 

  23. Akram S, ul Ann Q (2015) Newton raphson method. Int J Sci Eng Res 6(7):2229–2241

    Google Scholar 

  24. Hosseini SH, Farakhor A, Haghighian SK (2013) Novel algorithm of MPPT for PV array based on variable step Newton-Raphson method through model predictive control. In: 2013 13th international conference on control, automation and systems (ICCAS), IEEE, pp 1577–1582

    Google Scholar 

  25. Lan G, Zhou Y (2017) An optimal randomized incremental gradient method. Mathematical programming, pp 1–49

    Article  MathSciNet  Google Scholar 

  26. Blatt D, Hero AO, Gauchman H (2007) A convergent incremental gradient method with a constant step size. SIAM J Optim 18(1):29–51

    Article  MathSciNet  Google Scholar 

  27. Geum YH, Kim YI (2009) Cubic convergence of parameter-controlled Newton-secant method for multiple zeros. J Comput Appl Math 233(4):931–937

    Article  MathSciNet  Google Scholar 

  28. Hernández MA, Rubio MJ (2002) The Secant method for nondifferentiable operators. Appl Math Lett 15(4):395–399

    Article  MathSciNet  Google Scholar 

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Author information

Authors and Affiliations

  1. Electrical Department, Payambarazam Student Research Center, Aqqala, Golestan, Iran

    Saber Arabi Nowdeh

  2. College of Engineering and Science, Victoria University, Melbourne, Australia

    Mohammad Jafar Hadidian Moghaddam & Akhtar Kalam

  3. Department of Statistics, Faculty of Science, Golestan, Golestan University, Gorgan, Iran

    Manoochehr Babanezhad

  4. Department of Electrical Engineering, Islamic Azad University, Khalkhal Branch, Khalkhal, Iran

    Iraj Faraji Davoodkhani

  5. School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia

    Abdollah Ahmadi

  6. Faculty of Engineering, Electric Power and Machine Department, Ain Shams University, Cairo, Egypt

    Almoataz Y. Abdelaziz

Authors
  1. Saber Arabi Nowdeh
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  2. Mohammad Jafar Hadidian Moghaddam
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  3. Manoochehr Babanezhad
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  4. Iraj Faraji Davoodkhani
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  5. Akhtar Kalam
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  6. Abdollah Ahmadi
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  7. Almoataz Y. Abdelaziz
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Corresponding author

Correspondence to Almoataz Y. Abdelaziz .

Editor information

Editors and Affiliations

  1. Faculty of Automation and Computers, Politehnica University of Timișoara, Timișoara, Romania

    Radu-Emil Precup

  2. Department of Electrical and Electronics Engineering, Sakarya University, Serdivan/Sakarya, Turkey

    Tariq Kamal

  3. School of Electrical Engineering, Chongqing University, Chongqing, China

    Syed Zulqadar Hassan

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Nowdeh, S.A. et al. (2019). A Novel Maximum Power Point Tracking Method for Photovoltaic Application Using Secant Incremental Gradient Based on Newton Raphson. In: Precup, RE., Kamal, T., Zulqadar Hassan, S. (eds) Solar Photovoltaic Power Plants. Power Systems. Springer, Singapore. https://doi.org/10.1007/978-981-13-6151-7_4

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  • DOI: https://doi.org/10.1007/978-981-13-6151-7_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6150-0

  • Online ISBN: 978-981-13-6151-7

  • eBook Packages: EnergyEnergy (R0)

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