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Economic Load Dispatch with the Proposed GA Algorithm for Large Scale System

Received: 7 January 2014     Published: 20 February 2014
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Abstract

Economic load dispatch (ELD) have been applied to obtain optimal fuel cost of generating units. Genetic Algorithm (GA) is a global search technique based on principles inspired from the genetic and evolution mechanism observed in natural biological systems. This paper presents a novel stochastic Genetic Algorithm approach to solve the Economic Load Dispatch problem considering various generator constraints and also conserves an acceptable system performance in terms of limits on generator real and reactive power outputs bus voltages, shunt capacitors/reactors, transformers tap-setting and power flow of transmission lines. The ELD problem in a power system is to determine the optimal combination of power outputs for all generating units which will minimize the total fuel cost while satisfying all practical constraints. To show its efficiency and effectiveness, the proposed GA algorithm is applied to some types of ED problems containing non-smooth cost functions of 13 and 40 generating units systems (large scale systems). The experimental results show that the proposed GA approach is comparatively capable of obtaining higher quality solution.

Published in Journal of Energy and Natural Resources (Volume 3, Issue 1)
DOI 10.11648/j.jenr.20140301.11
Page(s) 1-5
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Non-Smooth Cost Functions, Genetic Algorithm, Economic Dispatch, GA, IEEE Tests Systems

References
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[9] R. Arul, D. G. Ravi, and D. S. Velusami, "Non-Convex Economic Dispatch with Heuristic Load Patterns Using Harmony Search Algorithm," international Journal of Computer Applications, vol. 16.
[10] B. H. Chowdhury and S. Rahman, "A Review of Recent Advances in Economic Dispatch," IEEE Trans. Power System, vol. 5, no. 4, pp. 1248-1259, Nov 1990.
[11] R. Effatnejad , H.aliyari, H.Tadayyoni, A.Abdollahshirazi, "Novel Optimization Based On The Ant Colony For Economic Dispatch" ,International Journal on Technical and Physical Problems of Engineering (IJTPE); Iss. 15, Vol. 5, No. 2, Jun. 2013
[12] N. H. F. I. Ismail Musirin, Mohd Rozely Kalil, MUhammad Khayat Idris, Titik Khawa Abdul Rahman, Mohd Rafi Adzman, "Ant Colony Optimization (ACO) Technique In Economic Load Dispatch," in Inrternational MultiConference of Engineers and Computer Scientist 2008, Hong Kong, 2008, p. 6.
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[20] H.T. Yang, P.C. Yang, C.L. Huang," Evolution programming based economic dispatch for units with non-smooth fuel cost functions", IEEE Trans Power Syst 1996;11(1):112–8.
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[22] L.S. Coelho, V.C. Mariani, "Combining of chaotic differential evolution and quadratic programming for economic dispatch optimisation with valve-point effect", IEEE Trans Power Syst 2006;21(2):989–96.
[23] O. Abedinia, N. Amjady, K. Kiani, H.A. Shayanfar, A. Ghasemi, "MULTIOBJECTIVE ENVIRONMENTAL AND ECONOMIC DISPATCH USING IMPERIALIST COMPETITIVE ALGORITHM", International Journal on Technical and Physical Problems of Engineering (IJTPE), Iss. 11, Vol. 4, No. 2, Jun. 2012.
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Cite This Article
  • APA Style

    Hamed Aliyari, Reza Effatnejad, Ardavan Areyaei. (2014). Economic Load Dispatch with the Proposed GA Algorithm for Large Scale System. Journal of Energy and Natural Resources, 3(1), 1-5. https://doi.org/10.11648/j.jenr.20140301.11

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    ACS Style

    Hamed Aliyari; Reza Effatnejad; Ardavan Areyaei. Economic Load Dispatch with the Proposed GA Algorithm for Large Scale System. J. Energy Nat. Resour. 2014, 3(1), 1-5. doi: 10.11648/j.jenr.20140301.11

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    AMA Style

    Hamed Aliyari, Reza Effatnejad, Ardavan Areyaei. Economic Load Dispatch with the Proposed GA Algorithm for Large Scale System. J Energy Nat Resour. 2014;3(1):1-5. doi: 10.11648/j.jenr.20140301.11

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  • @article{10.11648/j.jenr.20140301.11,
      author = {Hamed Aliyari and Reza Effatnejad and Ardavan Areyaei},
      title = {Economic Load Dispatch with the Proposed GA Algorithm for Large Scale System},
      journal = {Journal of Energy and Natural Resources},
      volume = {3},
      number = {1},
      pages = {1-5},
      doi = {10.11648/j.jenr.20140301.11},
      url = {https://doi.org/10.11648/j.jenr.20140301.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jenr.20140301.11},
      abstract = {Economic load dispatch (ELD) have been applied to obtain optimal fuel cost of generating units. Genetic Algorithm (GA) is a global search technique based on principles inspired from the genetic and evolution mechanism observed in natural biological systems. This paper presents a novel stochastic Genetic Algorithm approach to solve the Economic Load Dispatch problem considering various generator constraints and also conserves an acceptable system performance in terms of limits on generator real and reactive power outputs bus voltages, shunt capacitors/reactors, transformers tap-setting and power flow of transmission lines. The ELD problem in a power system is to determine the optimal combination of power outputs for all generating units which will minimize the total fuel cost while satisfying all practical constraints. To show its efficiency and effectiveness, the proposed GA algorithm is applied to some types of ED problems containing non-smooth cost functions of 13 and 40 generating units systems (large scale systems). The experimental results show that the proposed GA approach is comparatively capable of obtaining higher quality solution.},
     year = {2014}
    }
    

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  • TY  - JOUR
    T1  - Economic Load Dispatch with the Proposed GA Algorithm for Large Scale System
    AU  - Hamed Aliyari
    AU  - Reza Effatnejad
    AU  - Ardavan Areyaei
    Y1  - 2014/02/20
    PY  - 2014
    N1  - https://doi.org/10.11648/j.jenr.20140301.11
    DO  - 10.11648/j.jenr.20140301.11
    T2  - Journal of Energy and Natural Resources
    JF  - Journal of Energy and Natural Resources
    JO  - Journal of Energy and Natural Resources
    SP  - 1
    EP  - 5
    PB  - Science Publishing Group
    SN  - 2330-7404
    UR  - https://doi.org/10.11648/j.jenr.20140301.11
    AB  - Economic load dispatch (ELD) have been applied to obtain optimal fuel cost of generating units. Genetic Algorithm (GA) is a global search technique based on principles inspired from the genetic and evolution mechanism observed in natural biological systems. This paper presents a novel stochastic Genetic Algorithm approach to solve the Economic Load Dispatch problem considering various generator constraints and also conserves an acceptable system performance in terms of limits on generator real and reactive power outputs bus voltages, shunt capacitors/reactors, transformers tap-setting and power flow of transmission lines. The ELD problem in a power system is to determine the optimal combination of power outputs for all generating units which will minimize the total fuel cost while satisfying all practical constraints. To show its efficiency and effectiveness, the proposed GA algorithm is applied to some types of ED problems containing non-smooth cost functions of 13 and 40 generating units systems (large scale systems). The experimental results show that the proposed GA approach is comparatively capable of obtaining higher quality solution.
    VL  - 3
    IS  - 1
    ER  - 

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Author Information
  • Electrical Engineering Department, Science and Research Alborz branch, Islamic Azad University, Alborz, Iran

  • Electrical Engineering Department, Karaj branch-Islamic Azad University, Alborz, Iran

  • Electrical Engineering Department, Science and Research Alborz branch, Islamic Azad University, Alborz, Iran

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