Skip to main content
SpringerLink
Log in

Solution to Non-convex Electric Power Dispatch Problem Using Seeker Optimization Algorithm

  • Conference paper
Swarm, Evolutionary, and Memetic Computing (SEMCCO 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6466))

Included in the following conference series:

Abstract

This paper presents the application of Seeker Optimization Algorithm (SOA) to constrained economic load dispatch problem. Independent simulations were performed over separate systems with different number of generating units having constraints like prohibited operating zones and ramp rate limits. The performance is also compared with other existing similar approaches. The proposed methodology was found to be robust, fast converging and more proficient over other existing techniques.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 159.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

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.

References

  1. Wood, A.J., Wollenberg, B.F.: Power Generation Operation and Control. John Wiley & Sons, New York (1984)

    Google Scholar 

  2. Chen, C.L., Wang, S.C.: Branch and bound scheduling for thermal generating units. IEEE Trans. on Energy Conversion 8(2), 184–189 (1993)

    Article  Google Scholar 

  3. Lee, K.Y., et al.: Fuel cost minimization for both real and reactive power dispatches. IEE Proc. C, Gener. Trans. & distr. 131(3), 85–93 (1984)

    Article  Google Scholar 

  4. Gaing, Z.-L.: Particle swarm optimization to solving the economic dispatch considering the generator constraints. IEEE Trans. on Power Systems 18(3), 1187–1195 (2003)

    Article  Google Scholar 

  5. Sinha, N., Chakrabarti, R., Chattopadhyay, P.K.: Evolutionary programming techniques for economic load dispatch. IEEE Trans. Evol. Comput. 7(1), 83–94 (2003)

    Article  Google Scholar 

  6. Damousis, I.G., Bakirtzis, A.G., Dokopoulos, P.S.: Network-Constrained Economic Dispatch Using Real-Coded Genetic Algorithm. IEEE Trans. On Power Systems 18(1), 198–205 (2003)

    Article  Google Scholar 

  7. Jiejin, C., Xiaoqian, M., Lixiang, L., Haipeng, P.: Chaotic particle swarm optimization for economic dispatch considering the generator constraints. Energy Conversion and Management 48, 645–653 (2007)

    Article  Google Scholar 

  8. Immanuel Selvakumar, A., Thanushkodi, K.: A new particle swarm optimization Solution to nonconvex economic dispatch problems. IEEE Trans. on power systems 22(1), 42–51 (2007)

    Article  Google Scholar 

  9. Vlachogiannis, J.G., Lee, K.Y.: Economic Load Dispatch—A Comparative Study on Heuristic Optimization Techniques With an Improved Coordinated Aggregation-Based PSO. IEEE Trans. on Power Systems 24(2), 991–1001 (2009)

    Article  Google Scholar 

  10. Dai, C., Zhu, Y., Chen, W.: Seeker optimization algorithm. In: Wang, Y., Cheung, Y.-m., Liu, H. (eds.) CIS 2006. LNCS (LNAI), vol. 4456, pp. 167–176. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  11. Dai, C., Chen, W., Zhub, Y., Zhang, X.: Reactive power dispatch considering voltage stability with seeker optimization algorithm. EPSR 79, 1462–1471 (2009)

    Google Scholar 

  12. Dai, C., Chen, W., Zhu, Y., Zhang, X.: Seeker Optimization Algorithm for Optimal Reactive power dispatch. IEEE Transactions on Power Systems 24(3), 1218–1231 (2009)

    Google Scholar 

  13. dos Santos Coelho, L., Souza, R.C.T., Mariani, V.C.: Improved differential evolution approach based on cultural algorithm and diversity measure applied to solve economic load dispatch problems. Mathematics and Computers in Simulation 79, 3136–3147 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  14. Selvakumar, A.I., Thanushkodi, K.: Anti-predatory particle swarm optimization: solution to nonconvex economic dispatch problems. Electric Power Systems Research 78(1), 2–10 (2008)

    Article  Google Scholar 

  15. Selvakumar, A.I., Thanushkodi, K.: Optimization using civilized swarm: solution to economic dispatch with multiple minima. Electric Power Systems Research 79(1), 8–16 (2009)

    Article  Google Scholar 

  16. Coelho, L.S., Mariani, V.C.: Particle swarm approach based on quantum mechanics and harmonic oscillator potential well for economic load dispatch with valve-point effects. Energy Conversion and Management 49(11), 3080–3085 (2008)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Multi-Disciplinary Research Cell, Siksha O Anusandhan University, Bhubaneswar, India

    K. R. Krishnanand

  2. Department of Electrical and Electronics Engineering, Institute of Technical Education and Research, Bhubaneswar, Orissa, India

    P. K. Rout

  3. Department of Electrical Engineering, Indian Institute of Technology, Delhi, India

    B. K. Panigrahi

  4. Department of Electrical Engineering, CET, BPUT, Bhubaneswar, Orissa, India

    Ankita Mohapatra

Authors
  1. K. R. Krishnanand
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. P. K. Rout
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. B. K. Panigrahi
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ankita Mohapatra
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Indian Institute of Technology, New Delhi, India

    Bijaya Ketan Panigrahi

  2. Department of Electronics and Communication Engineering, Jadavpur University, 700032, Kolkata, West Bengal, India

    Swagatam Das

  3. School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore

    Ponnuthurai Nagaratnam Suganthan

  4. Department of Electrical and Electronics Engineering, SRM University, Chennai, Tamil Nadu, India

    Subhransu Sekhar Dash

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Krishnanand, K.R., Rout, P.K., Panigrahi, B.K., Mohapatra, A. (2010). Solution to Non-convex Electric Power Dispatch Problem Using Seeker Optimization Algorithm. In: Panigrahi, B.K., Das, S., Suganthan, P.N., Dash, S.S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2010. Lecture Notes in Computer Science, vol 6466. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17563-3_63

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-17563-3_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17562-6

  • Online ISBN: 978-3-642-17563-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation