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Performance Analysis of Solar PV-fed BLDC Motor Under Partial Shading Condition Using Various PSO MPPT Algorithms

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Advances in Electrical and Computer Technologies (ICAECT 2021)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 881))

Abstract

The most commonly observed effects in solar PV (SPV) systems are partial shading condition (PSC) and fast varying solar irradiation (FVSI), which lead to mismatch losses, hotspot effect, heating of shaded cells, reduced output, and also reliability issues. To develop an effective and reliable solar PV system, it is very crucial to realize and alleviate the impacts of partial shading and fast varying solar irradiation conditions. Under these conditions, it is extremely difficult to acquire the maximum power from system using conventional MPPT techniques, as multiple peaks can be observed in the system characteristics. To overcome this issue, various variants of particle swarm optimization (PSO) algorithm, like weighted PSO (WPSO), accelerated PSO (APSO), and constriction coefficient PSO (CPSO) that are used to acquire the maximum power output from considered solar PV system, are implemented in this paper work. A permanent magnet brushless DC (BLDC) motor is the most viable option to use in many of the applications where solar PV system can be used. In this paper, the performance of BLDC motor under the impact of partial shading and fast varying solar irradiation using the above-mentioned variants of PSO as MPPT is studied. The solar PV system and the PSO-based MPPT algorithms are implemented using MATLAB/Simulink 2018b.

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References

  1. de Oliveira FM, da Silva SAO, Durand FR, Sampaio LP, Bacon VD, Campanhol LBG (2016) Grid-tied photovoltaic system based on PSO MPPT technique with active power line conditioning. IET Power Electron 1–12

    Google Scholar 

  2. Renaudineau H, Donatantonio F, Fontchastagner J, Petrone G, Spagnuolo G, Martin JP, Pierfederici S (2014) PSO-based global MPPT technique for distributed PV power generation. IEEE Trans Ind Appl

    Google Scholar 

  3. Saptarshi S, Sanchita B, Richard AP (2018) Particle swarm optimization—a survey of historical and recent developments with hybridization perspectives. Mach Learn Knowl Extract-MDPI

    Google Scholar 

  4. Mostefa K, Berkouk El M (2015) Particle swarm optimization—a survey of historical and recent developments with hybridization perspectives. In: 4th International conference on electrical engineering (ICEE)

    Google Scholar 

  5. Djaalab A, Rezaoui MM, Merzouk I, Bessous N (2019) Study of the effects of partial shading on PV array. In: International conference on communications and electrical engineering (ICCEE)

    Google Scholar 

  6. Liu G, Zhu J, Tao W, Wang H, Blaabjerg F (2019) MPPT algorithm based on PSO for PV array under partially shaded condition. In: 22nd International conference on electrical machines and systems (ICEMS)

    Google Scholar 

  7. Amardeep C, Shriya G, Dhriti P, Mahfooz F, Varshney G (2015) Effect of partial shading on characteristics of PV panel using Simscape. Int J Eng Res Appl 5(10):85–89

    Google Scholar 

  8. Kermadi M, Berkouk EM (2015) A maximum power point tracker based on particle swarm optimization for PV-battery energy system under partial shading conditions. In: 3rd International conference on control, engineering & information technology (CEIT), pp 1–6

    Google Scholar 

  9. Suryavanshi R, Joshi DR, Jangamshetti SH (2012) PSO and P&O based MPPT technique for SPV panel under varying atmospheric conditions. In: International conference on power, signals, controls and computation, pp 1–6

    Google Scholar 

  10. Imran M, Hashim R, Khalid NEA (2013) An overview of particle swarm optimization variants. Procedia Eng 53:491–496. ISSN: 1877-7058

    Google Scholar 

  11. Subha R, Himavathi S (2016) Simplified accelerated particle swarm optimization algorithm for efficient maximum power point tracking in partially shaded photovoltaic systems. IET Renew Power Gener 10(9):1340–1347

    Article  Google Scholar 

  12. Diqing Z, Wu C, Li Z (2012) Modeling and simulation of partial shaded PV modules. In: International computer science conference ICSC 2012. Communications in computer and information science book series, vol 327. Springer, Berlin, pp 124–134

    Google Scholar 

  13. Liu Y, **a D, He Z (2011) MPPT of a PV system based on the particle swarm optimization. In: 4th International conference on electric utility deregulation and restructuring and power technologies (DRPT), pp 1094–1096

    Google Scholar 

  14. Cheng Z, Zhou H, Yang H (2010) Research on MPPT control of PV system based on PSO algorithm. In: Chinese control and decision conference, pp 887–892

    Google Scholar 

  15. Subha R, Himavathi S (2016) Accelerated particle swarm optimization algorithm for maximum power point tracking in partially shaded PV systems. In: IEEE international conference on electrical energy systems (ICEES)

    Google Scholar 

  16. Yang X-S, Suash D, Simon F (2012) Accelerated particle swarm optimization and support vector machine for business optimization and applications. In: Conference paper in communications in computer and information science, pp 53–66

    Google Scholar 

  17. Clerc M, Kennedy J (2002) The particle swarm—explosion, stability and convergence in a multidimensional complex space. IEEE Trans Evol Comput 6:58–73

    Article  Google Scholar 

  18. Pranava G, Prasad PV (2013) Constriction coefficient particle swarm optimization for economic load dispatch with valve point loading effects. In: International conference on power, energy and control (ICPEC), pp 350–354

    Google Scholar 

  19. Tripathi JP, Ghoshal S (2017) Combining inertia and constriction technique in the PSO applied to fault identification in a hydraulic system. Proc Inst Mech Eng C J Mech Eng Sci 231(14):2730–2740

    Article  Google Scholar 

  20. Kumar R, Singh B (2017) Single stage solar PV fed brushless DC motor driven water pump. IEEE J Emerg Sel Top Power Electron 5(3):1377–1385

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Electrical Engineering, National Institute of Technology Raipur, Raipur, Chhattisgarh, India

    Pakki Pavan Kumar, V. Hemant Kumar & R. N. Patel

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  1. Pakki Pavan Kumar
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  2. V. Hemant Kumar
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  3. R. N. Patel
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Correspondence to Pakki Pavan Kumar .

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Editors and Affiliations

  1. Department of Electrical and Electronics Engineering, SVS College of Engineering, Coimbatore, India

    Thangaprakash Sengodan

  2. Department of Electronics and Communication Engineering, Kuwait College of Science and Technology, Safat, Kuwait

    M. Murugappan

  3. Department of Computer and Information Sciences, Covenant University, Ota, Nigeria

    Sanjay Misra

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Kumar, P.P., Hemant Kumar, V., Patel, R.N. (2022). Performance Analysis of Solar PV-fed BLDC Motor Under Partial Shading Condition Using Various PSO MPPT Algorithms. In: Sengodan, T., Murugappan, M., Misra, S. (eds) Advances in Electrical and Computer Technologies. ICAECT 2021. Lecture Notes in Electrical Engineering, vol 881. Springer, Singapore. https://doi.org/10.1007/978-981-19-1111-8_73

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  • DOI: https://doi.org/10.1007/978-981-19-1111-8_73

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-1110-1

  • Online ISBN: 978-981-19-1111-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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