Implementation of Maximum Power Point Tracking Algorithms for Photovoltaic Systems

Authors

  • Sarath Chandra Burugala  Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, Anantapur, Andhra Pradesh, India
  • Dr. K. Jithendra Gowd  Assistant Professor, Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, Anantapur, Andhra Pradesh, India

Keywords:

Maximum Power Point Tracking (MPPT); Particle Swarm Optimization (PSO); Boost Converter.

Abstract

This paper proposes a New Particle swarm algorithm for improving the Optimization and performance of Maximum Power Point Tracking in PV System. The PSO technique has been applied for multi-junction solar cell system. The solar panels are made up of different type materials and give constant output from Boost converter. The main aim of PSO algorithm is to find out duty cycle to the Boost converter to maintain constant output voltage irrespective of power produced by solar panels. This proposed Particle Swarm Optimization (PSO) is also used to minimizing active power loss, voltage deviation and voltage stability index. A detailed simulation of the proposed method has been simulated in Matlab/Simulink. The simulation result shows that this design can be effectively realized in practical applications.

References

  1. M.K.Alam,F.H.Khan and A.S.Imtiaz, "An efficient power electronics solution for lateral multi-junction solar cell systems," in Proc.IEEE IECON,pp.4373-4378,2011.
  2. ?L.Zhao,"High Efficiency Mechanically Stacked Multi-Junction Solar Cells for Concentrator Photovoltaics", Ph.D.dissertation, Katholieke University, Leuven Faculteit, Ingenieurswetensc happen, Arenbergkasteel, Belgium, Mar. 2011.
  3. Cuce E,BaliT, Sekucoglu SA. Effects of passive cooling on performance of silicon photovoltaiccells.IntJLow-CarbonTechnol2011;6(4):299-308.
  4. Riffat SB,CuceE. A review on hybrid photovoltaic/thermal collectors and systems.IntJLow-CarbonTechnol2011;6(3):212-41.
  5. CucePM,CuceE.A novel model of photovoltaic modules for parameteresti-mation and thermodynamic assessment.IntJLow-CarbonTechnol2012;7 (2):159-65.
  6. CuceE,BaliT.Improving performance parameters of silicon solar cells using air cooling.In: Proceedings of the Fifth International EgeEnergySymposium and Exhibition.Denizli,Turkey;June27-30, 2010.
  7. CuceE,BaliT.A comparison of energy and power conversion efficiencies of mSi and pSiPV cells in Trabzon.In:Proceedings of the Fifth International Advanced Technologies Symposium,May13-15,2009.Karabuk,Turkey.
  8. CuceE,BaliT.Variation of cell parameters of ap SiPV cell with different solar irradiances and cell temperatures in humid climates.In:Fourth International Exergy, Energy and Environment Symposium.Sharjah,United Arab Emirates. April 19-23, 2009.
  9. Masters, GilbertM. Renewable and efficient electric powersystems. John Wiley &SonsLtd;2004.p.445-8.
  10. Tends In Photovoltaic Applications. Report IEA-PVPS; 2010.
  11. MessengerRoger, JerryV. Photovoltaic systems engineering. 2nded. CRCPress; 2003.
  12. EsramT,ChapmanPL.Comparison of photovoltaic array maximum power point tracking techniques. IEEE TransEnergy Convers2007;22:439-49.
  13. Hohm DP, Ropp ME. Comparative study of maximum power point tracking algorithms. Prog Photovolt: ResAppl2003;11:47-62.
  14. de Brito MAG, GalottoL, SampaioLP, deAzevedoeMeloG, CanesinCA. Evaluation of the Main MPPT techniques for photovoltaic applications. IEEE TransIndElectron 2013;60(3):1156-67.
  15. Eltawil MohamedA, Zhao Zhengming. MPPT techniques for photovoltaic applications. Renew Sustain EnergyRev2013;25:793-813.
  16. Noman AbdullahM, Addoweesh Khaled E,Mashaly Hussein M.A fuzzylogic control method for MPPT of PV systems. In: Proceedings of IECON?38th annual? conference on IEEE Industrial ElectronicsSociety;2012.p.874-80.
  17. CoelhoRobertoF, Concer Filipe M,Martins Denizar C.A MPPT approach based on temperature measurements applied in PV systems. In: Proceedings of the 9th IEEE/IAS international conference on industry applications;2010.
  18. Kharb RK, ShimiSL, ChatterjiS, AnsariMF. Modeling of solar PV module and maximum power point tracking using ANFIS.RenewSustainEnergyRev2014;33:602-12.
  19. Sayal.MPPT techniques for photovoltaic system under uniform insolation and partial shading conditions. In: Proceedings of 2012 Students Conference on Engineering and Systems(SCES);2012.p.1-6.
  20. Zhang C, Zhao D, Wang J, Chen G.A modified MPPT method with variable perturbation step for photovoltaic system. In: Proceedings of Power Electronics and ?Motion Control Conference;2009.p.2096-9.
  21. Piegari L, Rizzo R. Adaptive perturb and observe algorithm for photovoltaic maximum powerpoint tracking. IETRenewPowerGener2010;4(4):317-28.
  22. Elgendy M,Zahawi B, Atkinson D. Assessment of the incremental conductance maximum powerpoint tracking algorithm.IEEETrans.Sustain.Energy2013; vol. 4(1):108-17.
  23. FarhatM, BarambonesO, SbitaL. Efficiency optimization of a DSP-based standalone PV system using a stable single input fuzzy logic controller. RenewSustain EnergyRev2015; 49:907-20.
  24. Bin-Halabi A, AdelAbdennour, Mashaly H. An accurate ANFIS-based MPPT for solar PVsystem. IntJAdvComputRes2014;4(2):588-95.
  25. Reisi Ali Reza, Moradi Mohammad Hassan, Jamasb Shahriar. Classification and comparison of maximum powerpoint tracking techniques for photovoltaic system: a review. RenewSustainEnergyRev2013;19:433-43.
  26. Atlam O,KolheM.Performance evaluation of directly photovoltaic powered DC PM(direct current permanent magnet)motor-propeller thrust system. Energy 2013;57:692-8.
  27. Farahat MA, Metwally HMB, Mohamed Ahmed Abd-El Fatah. Optimal choice and design of different topologies of DC-DC converter used in PV systems,at? different climatic conditions in Egypt.2012;43:393-402. REN21.
  28. Renewables 2014 global status report.? ?http://www.ren21.net/wpcon tent/uploads/2015/07/REN12GSR2015_Onlinebook_-low1.pdf?[accessed 17.04.15]
  29. Mellit A, KalogirouS. ANFIS-based modeling for photovoltaic power supply system: a case study. RenewEnergy2011;36:250-5.
  30. XiaoW,ElnoshA,KhadkikarV,ZeineldinH. Overview of maximum power point tracking technologies for photovoltaic powersystems. In: Proceedings of IECON 2011?37th annual conference on IEEE Industrial Electronics Society; 2011.p.3900-5.
  31. Siemens Solar Industries. Solar Module SM55. Available:?http://www.solar quest.com/microsolar/suppliers/siemens/sm55.pdf? [accessed 10.10.14].

International Journal of Scientific Research in Science and Technology

Downloads

Published

2017-10-31

Issue

Volume 3, Issue 7, September-October-2017

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Sarath Chandra Burugala, Dr. K. Jithendra Gowd, " Implementation of Maximum Power Point Tracking Algorithms for Photovoltaic Systems, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 3, Issue 7, pp.165-171, September-October-2017.