Nothing Special   »   [go: up one dir, main page]

Skip to main content

Advertisement

Log in

New fundamental modulation technique with SHE using shuffled frog leaping algorithm for multilevel inverters

  • Original Paper
  • Published:
Evolving Systems Aims and scope Submit manuscript

Abstract

This paper presents the selective harmonic elimination of cascade H-bridge multilevel inverters using shuffled frog leaping algorithm. This algorithm takes the advantages of the genetic-based memetic algorithm and the social behavior-based PSO algorithm. In addition, this study provides a new fundamental modulation technique with SHE for multilevel inverters which can generate output waveforms with a full range of modulation indices. There are two control objectives formulated as a multi-objective optimization problem. The mentioned algorithm finds the optimal solution set of switching angles. Simulation is performed in MATLAB to confirm the validity of the proposed method.

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  • Amiri B, Fathian M, Maroosi A (2009) Application of shuffled frog-leaping algorithm on clustering. Int J Adv Manuf Technol 45(1–2):199–209

    Article  Google Scholar 

  • Angelov P (1994) A generalized approach to fuzzy optimization. Int J Intell Syst 9(3):261–268

    Article  Google Scholar 

  • Angelov P (2001) Supplementary crossover operator for genetic algorithms based on the center-of-gravity paradigm. Control Cybern 30(2):159–176

    MATH  Google Scholar 

  • Angelov P, Kasabov N (2005) Evolving computational intelligence systems, Proceedings of the 1st international workshop on genetic fuzzy systems 76–82

  • Angelov P, Kasabov N (2006) Evolving intelligent systems, eIS, IEEE SMC eNewsLett 15:1–13

    Google Scholar 

  • Dahidah MSA, Agelidis VG (2008) Selective harmonic elimination PWM control for cascaded multilevel voltage source converters: a generalizedformula. IEEE Trans Ind Electron 23(4):1620–1630

    Google Scholar 

  • Ebrahimi J, Hosseinian SH, Gharehpetian GB (2011) Unit commitment problem solution using shuffled frog leaping algorithm. IEEE Trans Power Syst 26(2):573–581

    Article  Google Scholar 

  • Elbeltagi E, Hegazy T, Grierson D (2005) Comparison among five evolutionary-based optimization algorithms. Adv Eng Inf 19(1):43–53

    Article  Google Scholar 

  • Eusuff MM, Lansey KE, Pasha F (2006) Shuffled frog-leaping algorithm a memetic meta-heuristic for discrete optimization. Eng Optim 38(2):129–154

    Article  MathSciNet  Google Scholar 

  • Farhadi P, Sedaghat M, Sharifi S, Taheri B (2017) Power point tracking in photovoltaic systems by sliding mode control. In: Advanced topics in electrical engineering (ATEE), 2017 10th international symposium on, pp 781–785 IEEE

  • Firouz M, Hosseini, Ghadimi N (2016) Concordant controllers based on FACTS and FPSS for solving wide-area in multi-machine power system. J Intell Fuzzy Syst 30(2):845–859

    Article  Google Scholar 

  • Franquelo LG, Napoles J, Guisado RCP, Leon JI, Aguirre MA (2007) A flexible selective harmonic mitigation technique to meet grid codes in three-level PWM converters. IEEE Trans Ind Electron 54(6):3022–3029

    Article  Google Scholar 

  • Ghadimi N, Afkousi-Paqaleh M, Nouri A (2013) PSO based fuzzy stochastic long-term model for deployment of distributed energy resources in distribution systems with several objectives. IEEE Syst J 7(4):786–796

    Article  Google Scholar 

  • Ghadimi N, Afkousi-Paqaleh A, Emamhosseini A (2014) A PSO-based fuzzy long-term multi-objective optimization approach for placement and parameter setting of UPFC. Arab J Sci Eng 39(4):2953–2963

    Article  Google Scholar 

  • Guan EY, Song PG, Wu B, Zhao L, Ye MY (2006) Fundamental modulation multi-pattern scheme with an entire range of modulation indices for multilevel cascaded converters. In: First IEEE conference of industrial electronics and applications (ICIEA 2006), Singapore, pp. 1–6

  • Hagh M, Tarafdar H, Ebrahimian, Ghadimi N (2015) Hybrid intelligent water drop bundled wavelet neural network to solve the islanding detection by inverter-based DG. Front Energy 9(1):75–90

    Article  Google Scholar 

  • Hashemi F et al (2011) Determining the optimum cross-sectional area of the medium voltage feeder for loss reduction and voltage profile improvement based on particle swarm algorithm. In: Environment and electrical engineering (EEEIC), 10th international conference on. IEEE, 2011

  • Hashemi F, Ghadimi N, Sobhani B (2013) Islanding detection for inverter-based DG coupled with using an adaptive neuro-fuzzy inference system. Int J Electr Power Energy Syst 45(1):443–455

    Article  Google Scholar 

  • Hosseini Firouz M, Ghadimi N (2016) Optimal preventive maintenance policy for electric power distribution systems based on the fuzzy AHP methods. Complexity 21(6):70–88

    Article  MathSciNet  Google Scholar 

  • Kavousi A, Vahidi B, Salehi R, Bakhshizadeh M, Farokhnia N, Fathi SS (2012) Application of the bee algorithm for selective harmonic elimination strategy in multilevel inverters. IEEE Trans Power Electron 27(4):1689–1696

    Article  Google Scholar 

  • Kouro S, Malinowski M, Gopakuma KR et al (2010) Recent advance and industrial applications of multilevel converters. IEEE Trans Ind Electron 57(8):2553–2579

    Article  Google Scholar 

  • Kumar J, Das B, Pramod A (2008) Selective Harmonic elimination technique for a multilevel inverter’, member IEE, Fifteen national power systems conference (NPSC)

  • Lou H, Mao C, Wang D, Lu J (2007) PWM optimisation for three-level voltage inverter based on clonal selection algorithm. IET Electr Power Appl 1(6):870–878

    Article  Google Scholar 

  • Luo H, Mao C, Wang D, Lu J, Wang L (2014) Fundamental modulation strategy with selective harmonic elimination for multilevel inverters. IET Power Electron 2(13):2013–0347

    Google Scholar 

  • Maswood AI, Wei S (2005) Genetic-algorithm-based solution in PWM converter switching. IEE Proc Electr Power Appl 152(3):473–478

    Article  Google Scholar 

  • Ozpineci B, Tolbert LM, Chiasson JN (2005) Harmonic optimization of multilevel converters using genetic algorithms. IEEE Power Electron Lett 3:92–95

    Article  Google Scholar 

  • Sharifi S, Sedaghat M, Farhadi P, Ghadimi N, Taheri B (2017) Environmental economic dispatch using improved artificial bee colony algorithm. Evol Syst 8.3:233–242 (Springer Berlin Heidelberg)

    Article  Google Scholar 

  • Shi KL, Li H (2005) Optimized PWM strategy based on genetic algorithms. IEEE Trans Ind Electron 52(5):1458–1461

    Article  Google Scholar 

  • Taghizadeh H, Tarafdar Hagh M (2010) Harmonic elimination of cascademultilevel inverters with nonequal DC sources using particle swarmoptimization. IEEE Trans Ind Electron 57(11):3678–3684

    Article  Google Scholar 

  • Taheri B, Aghajani G, Sedaghat M (2017) Economic dispatch in a power system considering environmental pollution using a multi-objective particle swarm optimization algorithm based on the Pareto criterion and fuzzy logic, Int J Energy Environ Eng 8:99–107. https://doi.org/10.1007/s40095-017-0233-9

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alireza Siadatan.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Siadatan, A., fakhari, M., Taheri, B. et al. New fundamental modulation technique with SHE using shuffled frog leaping algorithm for multilevel inverters. Evolving Systems 11, 541–557 (2020). https://doi.org/10.1007/s12530-019-09273-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12530-019-09273-w

Keywords

Navigation