Skip to main content

Advertisement

Springer Nature Link
Log in

Dynamic economic emission dispatch based on multi-objective pigeon-inspired optimization with double disturbance

  • Letter
  • Published:
Science China Information Sciences Aims and scope Submit manuscript

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

Access this article

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

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

Instant access to the full article PDF.

Institutional subscriptions

References

  1. Xia X, Elaiw A M. Optimal dynamic economic dispatch of generation: a review. Electr Power Syst Res, 2010, 80: 975–986

    Article  Google Scholar 

  2. Yorino N, Hafiz H M, Sasaki Y, et al. High-speed realtime dynamic economic load dispatch. IEEE Trans Power Syst, 2012, 27: 621–630

    Article  Google Scholar 

  3. Roy P K, Bhui S. A multi-objective hybrid evolutionary algorithm for dynamic economic emission load dispatch. Int Trans Electr Energ Syst, 2016, 26: 49–78

    Article  Google Scholar 

  4. Zhu Z, Wang J, Baloch M H. Dynamic economic emission dispatch using modified NSGA-II. Int Trans Electr Energ Syst, 2016, 26: 2684–2698

    Article  Google Scholar 

  5. Basu M. Dynamic economic emission dispatch using evolutionary programming and fuzzy satisfying method. Int J Emerging Electr Power Syst, 2007, 8: 1–15

    Google Scholar 

  6. Qu B Y, Zhu Y S, Jiao Y C, et al. A survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems. Swarm Evolary Comput, 2018, 38: 1–11

    Article  Google Scholar 

  7. Duan H B, Qiao P X. Pigeon-inspired optimization: A new swarm intelligence optimizer for air robot path planning. Int J Intell Comput Cybern, 2014, 7: 2–21

    Article  MathSciNet  Google Scholar 

  8. Lei X, Ding Y, Wu F X. Detecting protein complexes from DPINs by density based clustering with Pigeon-Inspired Optimization Algorithm. Sci China Inf Sci, 2016, 59: 070103

    Article  Google Scholar 

  9. Qiu H X, Duan H B. Multi-objective pigeon-inspired optimization for brushless direct current motor parameter design. Sci China Technol Sci, 2015, 58: 1915–1923

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61673404, 61873292), Key Scientific Research Projects in Colleges and Universities of Henan Province (Grant Nos. 19A120014, 17A470006), and Innovative Talents Project of Henan (Grant No. 16HASTIT033).

Author information

Authors and Affiliations

  1. School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou, 450007, China

    Li Yan, Boyang Qu, Yongsheng Zhu & Baihao Qiao

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

    Ponnuthurai Nagaratnam Suganthan

Authors
  1. Li Yan
    View author publications

    You can also search for this author inPubMed Google Scholar

  2. Boyang Qu
    View author publications

    You can also search for this author inPubMed Google Scholar

  3. Yongsheng Zhu
    View author publications

    You can also search for this author inPubMed Google Scholar

  4. Baihao Qiao
    View author publications

    You can also search for this author inPubMed Google Scholar

  5. Ponnuthurai Nagaratnam Suganthan
    View author publications

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence to Boyang Qu.

Supplementary File

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yan, L., Qu, B., Zhu, Y. et al. Dynamic economic emission dispatch based on multi-objective pigeon-inspired optimization with double disturbance. Sci. China Inf. Sci. 62, 70210 (2019). https://doi.org/10.1007/s11432-018-9715-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11432-018-9715-2