Skip to main content
SpringerLink
Log in

Modified Bat Algorithm for Combined Economic and Emission Dispatch Problem

  • Conference paper
  • First Online:
AETA 2016: Recent Advances in Electrical Engineering and Related Sciences (AETA 2016)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 415))

Abstract

The paper proposes a new modified Bat algorithm (MBA) for solving combined economic and emission load dispatch (CEED) problems where transmission power losses are considered. The MBA is first developed in the paper by modifying the several modifications on the conventional Bat algorithm (BA) in aim to improve the performance of the BA. The MBA is tested on two different systems with the transmission power losses. The performance of the MBA is evaluated by comparing obtained results with BA and other existing algorithms available in the study. As a result, it can be concluded that the MBA outperforms the BA and is very strong for solving the CEED problem.

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 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Kin, T.D., El-Hawary, M.E., El-Hawary, F.: Optimal environmental dispatching of electric power systems via an improved hopfield neural network model. IEEE Trans. Power Syst. 10, 1559–1565 (1995)

    Article  Google Scholar 

  2. Roa-Sepulveda, C.A., Salazar-Nova, E.R., Gracia-Caroca, E., Knight, U.G., Coonick, A.: Environmental economic dispatch via hopfield neural network and taboo search. In: Universities Power Engineering Conference, UPEC 1996, Crete, Greece, pp. 1001–1004 (1996)

    Google Scholar 

  3. Song, Y.H., Wang, G.S., Wang, P.Y., Johns, A.T.: Environmental/econoimic dispatch using fuzzy logic controlled genetic algorithm. IEE Proc.-Gener. Transm. Distrib. 44, 377–382 (1997)

    Article  Google Scholar 

  4. Rughooputh, H.G.S., Ah King, RTF.: Environmental/economic dispatch of thermal units using an elitist multiobjective evolutionary algorithm. In: 2003 IEEE International Conference in Industrial Technology, Maribor, Slovenia, vol. 1, pp. 48–53 (2003)

    Google Scholar 

  5. Mandal, K.K., Chakraborty, N.: Effect of control parameters on differential evolution based combined economic emission dispatch with valve-point loading and transmission loss. Int. J. Emerg. Electr. Power Syst. 9, 1–18 (2008)

    Google Scholar 

  6. Devi, A.L., Krishna, O.V.: Combined economic and emission dispatch using evolutionary algorithms-a case study. ARPN J. Eng. Appl. Sci. 3(6), 28–35 (2008)

    Google Scholar 

  7. Roy, P.K., Ghoshal, S.P., Thakur, S.S.: Combined economic and emission dispatch problems using biogeography-based optimization. Electr. Eng. 92, 173–184 (2010)

    Article  Google Scholar 

  8. Basu, M.: Economic environmental dispatch using multi-objective differential evolution. Appl. Soft Comput. 11, 2845–2853 (2011)

    Article  Google Scholar 

  9. Elaiwa, A.M., Xiab, X., Shehata, A.M.: Hybrid DE-SQP and hybrid PSO-SQP methods for solving dynamic economic emission dispatch problem with valve-point effects. Electr. Power Syst. Res. 103, 192–200 (2013)

    Article  Google Scholar 

  10. Hamedi, H.: solving the combined economic load and emission dispatch problems using new heuristic algorithm. Electr. Power Energy Syst. 46, 10–16 (2013)

    Article  Google Scholar 

  11. Manteaw, E.D., Odero, N.A.: Combined economic and emission dispatch solution using ABC_PSO hybrid algorithm with valve point loading effect. Int. J. Sci. Res. Publ. 2(12), 1–9 (2012)

    Google Scholar 

  12. Zhang, R., Zhou, J., Mo, L., Ouyang, S., Liao, X.: Economic environmental dispatch using an enhanced multi-objective cultural algorithm. Electr. Power Syst. Res. 99, 18–29 (2013)

    Article  Google Scholar 

  13. Thao, N.T.P., Thang, N.T.: Environmental economic load dispatch with quadratic fuel cost function using cuckoo search algorithm. Int. J. u- e- Serv. Sci. Technol. 7(2), 199–210 (2014)

    Article  Google Scholar 

  14. Thang, N.T.: Economic emission load dispatch with multiple fuel options using Hopfiled Lagrange Network. Int. J. Adv. Sci. Technol. 57, 9–24 (2013)

    Google Scholar 

  15. Abdelaziz, A.Y., Ali, E.S., Abd Elazim, S.M.: Implementation of flower pollination algorithm for solving economic load dispatch and combined economic emission dispatch problems in power systems. Energy 101, 506–518 (2016)

    Article  Google Scholar 

  16. Yang, X.S.: A new metaheuristic bat-inspired algorithm. In: González, J.R., Pelta, D.A., Cruz, C., Terrazas, G., Krasnogor, N. (eds.) Nature Inspired Cooperative Strategies for Optimization. Studies in Computational Intelligence, vol. 284, pp. 65–74. Springer, Berlin (2010)

    Chapter  Google Scholar 

  17. Nguyen, T.T., Ho, S.D.: Bat algorithm for economic emission load dispatch problem. Int. J. Adv. Sci. Technol. 86, 51–60 (2015)

    Article  Google Scholar 

  18. Kulkarni, P.S., Kothari, A.G., Kothari, D.P.: Combined economic and emission dispatch using improved back-propagation neural network. Electr. Power Comput. Syst. 28, 31–44 (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Ly Huu Pham & Thang Trung Nguyen

  2. Faculty of Electrical and Electronics Engineering, University of Technical Education HCM City, 1 Vo Van Ngan street, Thu Duc district, HCM City, Vietnam

    Thin Huu Ho

  3. Department of Power Systems, HCM City University of Technology, 268 Ly Thuong Kiet street, 10th district, HCM City, Vietnam

    Dieu Ngoc Vo

Authors
  1. Ly Huu Pham
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Thin Huu Ho
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Thang Trung Nguyen
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Dieu Ngoc Vo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ly Huu Pham .

Editor information

Editors and Affiliations

  1. Department of Automatic Control, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Vo Hoang Duy

  2. International Cooperation, Research and Training Institute, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Tran Trong Dao

  3. Department of Mechanical Design Engineering, Pukyong National University, Busan, Vietnam

    Sang Bong Kim

  4. Department of Mechanical Engineering, Hochiminh City University of Technology, Ho Chi Minh City, Vietnam

    Nguyen Tan Tien

  5. Faculty of Electrical Engineering and Computer Science, VŠB-TUO, Ostrava, Czech Republic

    Ivan Zelinka

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Pham, L.H., Ho, T.H., Nguyen, T.T., Vo, D.N. (2017). Modified Bat Algorithm for Combined Economic and Emission Dispatch Problem. In: Duy, V., Dao, T., Kim, S., Tien, N., Zelinka, I. (eds) AETA 2016: Recent Advances in Electrical Engineering and Related Sciences. AETA 2016. Lecture Notes in Electrical Engineering, vol 415. Springer, Cham. https://doi.org/10.1007/978-3-319-50904-4_62

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-50904-4_62

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50903-7

  • Online ISBN: 978-3-319-50904-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation