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A Chaotic Modified Algorithm for Economic Dispatch Problems with Generator Constraints

Received: 23 March 2017     Accepted: 18 April 2017     Published: 8 June 2017
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Abstract

The different Economic Dispatch (ED) problems have non-convex/non-smooth total fuel cost function with equality and inequality constraints which make it difficult to be effectively solved. Different heuristic optimization algorithms and stochastic search techniques have been proposed to solve ED problems in previous study. This paper proposes the Chaotic Modified Imperialist Competitive algorithms (CMICA) based on chaos maps to solve different ED problems in power systems. The proposed CMICA methods framework is applied to 10-, 15-, and 40-unit generator systems in order to evaluate its feasibility and efficiency. Simulation results demonstrate that the proposed CMICA methods were indeed capable of obtaining higher quality solutions efficiently in ED problem.

Published in American Journal of Electrical and Computer Engineering (Volume 1, Issue 2)
DOI 10.11648/j.ajece.20170102.12
Page(s) 61-71
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), 2017. Published by Science Publishing Group

Keywords

Economic Dispatch (ED) Problem, Generator Constraints, Imperialist Competitive Algorithm (ICA), Chaos Maps

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  • APA Style

    Mojtaba Ghasemi. (2017). A Chaotic Modified Algorithm for Economic Dispatch Problems with Generator Constraints. American Journal of Electrical and Computer Engineering, 1(2), 61-71. https://doi.org/10.11648/j.ajece.20170102.12

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    ACS Style

    Mojtaba Ghasemi. A Chaotic Modified Algorithm for Economic Dispatch Problems with Generator Constraints. Am. J. Electr. Comput. Eng. 2017, 1(2), 61-71. doi: 10.11648/j.ajece.20170102.12

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    AMA Style

    Mojtaba Ghasemi. A Chaotic Modified Algorithm for Economic Dispatch Problems with Generator Constraints. Am J Electr Comput Eng. 2017;1(2):61-71. doi: 10.11648/j.ajece.20170102.12

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  • @article{10.11648/j.ajece.20170102.12,
      author = {Mojtaba Ghasemi},
      title = {A Chaotic Modified Algorithm for Economic Dispatch Problems with Generator Constraints},
      journal = {American Journal of Electrical and Computer Engineering},
      volume = {1},
      number = {2},
      pages = {61-71},
      doi = {10.11648/j.ajece.20170102.12},
      url = {https://doi.org/10.11648/j.ajece.20170102.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajece.20170102.12},
      abstract = {The different Economic Dispatch (ED) problems have non-convex/non-smooth total fuel cost function with equality and inequality constraints which make it difficult to be effectively solved. Different heuristic optimization algorithms and stochastic search techniques have been proposed to solve ED problems in previous study. This paper proposes the Chaotic Modified Imperialist Competitive algorithms (CMICA) based on chaos maps to solve different ED problems in power systems. The proposed CMICA methods framework is applied to 10-, 15-, and 40-unit generator systems in order to evaluate its feasibility and efficiency. Simulation results demonstrate that the proposed CMICA methods were indeed capable of obtaining higher quality solutions efficiently in ED problem.},
     year = {2017}
    }
    

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  • TY  - JOUR
    T1  - A Chaotic Modified Algorithm for Economic Dispatch Problems with Generator Constraints
    AU  - Mojtaba Ghasemi
    Y1  - 2017/06/08
    PY  - 2017
    N1  - https://doi.org/10.11648/j.ajece.20170102.12
    DO  - 10.11648/j.ajece.20170102.12
    T2  - American Journal of Electrical and Computer Engineering
    JF  - American Journal of Electrical and Computer Engineering
    JO  - American Journal of Electrical and Computer Engineering
    SP  - 61
    EP  - 71
    PB  - Science Publishing Group
    SN  - 2640-0502
    UR  - https://doi.org/10.11648/j.ajece.20170102.12
    AB  - The different Economic Dispatch (ED) problems have non-convex/non-smooth total fuel cost function with equality and inequality constraints which make it difficult to be effectively solved. Different heuristic optimization algorithms and stochastic search techniques have been proposed to solve ED problems in previous study. This paper proposes the Chaotic Modified Imperialist Competitive algorithms (CMICA) based on chaos maps to solve different ED problems in power systems. The proposed CMICA methods framework is applied to 10-, 15-, and 40-unit generator systems in order to evaluate its feasibility and efficiency. Simulation results demonstrate that the proposed CMICA methods were indeed capable of obtaining higher quality solutions efficiently in ED problem.
    VL  - 1
    IS  - 2
    ER  - 

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Author Information
  • Department of Electronics and Electrical Engineering, Shiraz University of Technology, Shiraz, Iran

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