Skip to main content
Springer Nature Link
Log in

Optimum Design of Turbo-Alternator Using Modified NSGA-II Algorithm

  • Conference paper
  • First Online:
Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 202))

  • 1718 Accesses

Abstract

This paper presents a method to select the optimum design of turbo-alternator (TA) using modified elitist non-dominated sorting genetic algorithm (NSGA-II). In this paper, a real-life TA used in an industry is considered. The probability distribution of simulated binary crossover (SBX-A) operator, used in NSGA-II algorithm, is modified with different probability distributions. The NSGA-II algorithm with lognormal probability distribution (SBX-LN) performed well for the TA design. It found more number of optimal solutions with better diversity for the real-life TA design.

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

Access this chapter

Log in via an institution

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

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  • Gray, A.: Electrical Machine Design – The Design and Specification of Direct and Alternating Current Machinery. Mcgrawhill Book Company, Inc. (1913).

    Google Scholar 

  • Sawheny, A.K.: Electrical Machine Design. Dhanpat Rai & Sons, Newdelhi (1991).

    Google Scholar 

  • Lamme, B.G.: High speed turbo-alternator-designs and limitations. Proceedings of the IEEE. 72, 494-526 (1984).

    Google Scholar 

  • Ula, A.H.M.S., Stephenson, J.M., Lawrenson, P.J.: The effect of design parameters on the dynamic behavior of the superconducting alternators. IEEE Trans. Energy Conversion. 3, 179-186 (1988).

    Google Scholar 

  • Azzouri, J., Karim, N.A., Barkat, G., Dakyo, B.: Axial flux permanent magnet synchronous generator design optimization: Robustness test of the genetic algorithm approach. ESPE 2005, Dresden. P1-P10 (2005).

    Google Scholar 

  • Deb, K.: Optimization for Engineering Design. Prentice-hall of India Private limites, Newdelhi (1998).

    Google Scholar 

  • Deb, K.: Multi-Objective Optimization using Evolutionary Algorithms. John wiley & sons limited, Chichester (2002).

    Google Scholar 

  • Deb, K., Agarwal, S., Pratap, A., Meyariven, T.A.: A fast and elitist mutli-objective genetic algorithm: NSGA-II. IEEE Trans. Evolutioanary Computation. 6, 182-197 (2002).

    Google Scholar 

  • Deb, K.: Multi-objective genetic algorithms: Problems difficulties and construction of test functions. Evolutionary Computation. 7, 205-230 (1999).

    Google Scholar 

  • Deb, K., Pratap, A., Moitra, S: Mechanical component design for multiple objectives using elitist non-dominated sorting GA. Kangal Technical Report no. 200002, Indian Institute of Technology Kanur, Kanpur, India (2000).

    Google Scholar 

  • Raghuwanshi, M.M., Singru, P.M., Kale, U., Kakde, O.G.: Simulated binary crossover with lognormal distribution. Complexity International. 12, 1-10 (2008).

    Google Scholar 

  • Price, K.V., Storn, R.M., Lampinen, J.A.: Differential Evolution: A Practical Approach to Global Optimization. Springer, Verlag Berlin Heidelberg (2005).

    Google Scholar 

  • Prasad, K.V.R.B., Singru, P.M.: Performance of lognormal probability distribution in crossover operator of NSGA-II algorithm. SEAL 2010, Kanpur. 514-522 (2010).

    Google Scholar 

  • Prasad, K.V.R.B., Singru, P.M.: Identifying the optimum design of turbo-alternator using different multi-objective optimization algorityhms. ITC 2010, Kochi. 150-158 (2010).

    Google Scholar 

  • Central Electricity Board: Indian Electricity Rules, 1956 (as amended up to 25th Nov., 2000). Under section 37 of the Indian Electricity Act. 1910 (9 of 1910). Ministry of power, Government of India. http://www.powermin.nic.in/acts_notification/pdf/ier1956.pdf (2000).

Download references

Author information

Authors and Affiliations

  1. MITS, Madanapalle, India

    K. V. R. B. Prasad

  2. BITS, Pilani: K. K. Birla Goa Campus, Rajasthan, India

    P. M. Singru

Authors
  1. K. V. R. B. Prasad
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. P. M. Singru
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to K. V. R. B. Prasad .

Editor information

Editors and Affiliations

  1. South Asian University, Chankya Puri, New Delhi, 110021, India

    Jagdish Chand Bansal

  2. ABV - IIITM, Gwalior, Gwalior, 474015, Madhya Pradesh, India

    Pramod Singh

  3. , Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, 247667, India

    Kusum Deep

  4. , Department of Paper Technology, Indian Institute of Technology Roorkee, Saharanpur Campus, Roorkee, India

    Millie Pant

  5. , Department of Computer Science, Liverpool Hope University, Office: FML 412, Liverpool, Liverpool, L16 9JD, United Kingdom

    Atulya Nagar

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer India

About this paper

Cite this paper

Prasad, K.V.R.B., Singru, P.M. (2013). Optimum Design of Turbo-Alternator Using Modified NSGA-II Algorithm. In: Bansal, J., Singh, P., Deep, K., Pant, M., Nagar, A. (eds) Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012). Advances in Intelligent Systems and Computing, vol 202. Springer, India. https://doi.org/10.1007/978-81-322-1041-2_22

Download citation

  • DOI: https://doi.org/10.1007/978-81-322-1041-2_22

  • Published:

  • Publisher Name: Springer, India

  • Print ISBN: 978-81-322-1040-5

  • Online ISBN: 978-81-322-1041-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics