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Dynamic Economic Dispatch for Combined Heat and Power (Steam and Gas) Units Using Seeker and Bacteria Foraging Optimization Algorithms

Received: 13 July 2016     Accepted: 21 July 2016     Published: 6 August 2016
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Abstract

In this paper, combined heat and power units are incorporated in dynamic economic dispatch to minimize total production costs considering realistic constraints such as ramp rate and spinning reserve limits effects over a short time span. Three evolutionary approaches, namely seeker optimization Algorithm (SOA), Seeker optimization with inertia weight factor (SOAIW) and Bacteria Foraging Optimization Algorithms (BFOA) are successfully implemented to solve the combined heat and power economic dispatch (CHPED) problem. These approaches have been tested on 12-generation units system with two steam, four gas and six cogeneration units. In addition, the performance tests are applied to measure the actual power output and the fuel consumption in every point tests for achieving different curves such as input/output, incremental heat rate and heat rate curves for the twelve units. The results of the four approaches are compared to obtain the best solution. The results show that the seeker optimization with improved inertia weight is able to achieve the best solution at less computational time.

Published in American Journal of Engineering and Technology Management (Volume 1, Issue 2)
DOI 10.11648/j.ajetm.20160102.12
Page(s) 12-24
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), 2016. Published by Science Publishing Group

Keywords

Combined Heat and Power Economic Dispatch (CHPED), Seeker Optimization Algorithm (SOA), Bacteria Foraging Optimization Algorithm (BFOA)

References
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Cite This Article
  • APA Style

    Mohamed Ahmed Sadeek Mohamed. (2016). Dynamic Economic Dispatch for Combined Heat and Power (Steam and Gas) Units Using Seeker and Bacteria Foraging Optimization Algorithms. American Journal of Engineering and Technology Management, 1(2), 12-24. https://doi.org/10.11648/j.ajetm.20160102.12

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    ACS Style

    Mohamed Ahmed Sadeek Mohamed. Dynamic Economic Dispatch for Combined Heat and Power (Steam and Gas) Units Using Seeker and Bacteria Foraging Optimization Algorithms. Am. J. Eng. Technol. Manag. 2016, 1(2), 12-24. doi: 10.11648/j.ajetm.20160102.12

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    AMA Style

    Mohamed Ahmed Sadeek Mohamed. Dynamic Economic Dispatch for Combined Heat and Power (Steam and Gas) Units Using Seeker and Bacteria Foraging Optimization Algorithms. Am J Eng Technol Manag. 2016;1(2):12-24. doi: 10.11648/j.ajetm.20160102.12

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  • @article{10.11648/j.ajetm.20160102.12,
      author = {Mohamed Ahmed Sadeek Mohamed},
      title = {Dynamic Economic Dispatch for Combined Heat and Power (Steam and Gas) Units Using Seeker and Bacteria Foraging Optimization Algorithms},
      journal = {American Journal of Engineering and Technology Management},
      volume = {1},
      number = {2},
      pages = {12-24},
      doi = {10.11648/j.ajetm.20160102.12},
      url = {https://doi.org/10.11648/j.ajetm.20160102.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajetm.20160102.12},
      abstract = {In this paper, combined heat and power units are incorporated in dynamic economic dispatch to minimize total production costs considering realistic constraints such as ramp rate and spinning reserve limits effects over a short time span. Three evolutionary approaches, namely seeker optimization Algorithm (SOA), Seeker optimization with inertia weight factor (SOAIW) and Bacteria Foraging Optimization Algorithms (BFOA) are successfully implemented to solve the combined heat and power economic dispatch (CHPED) problem. These approaches have been tested on 12-generation units system with two steam, four gas and six cogeneration units. In addition, the performance tests are applied to measure the actual power output and the fuel consumption in every point tests for achieving different curves such as input/output, incremental heat rate and heat rate curves for the twelve units. The results of the four approaches are compared to obtain the best solution. The results show that the seeker optimization with improved inertia weight is able to achieve the best solution at less computational time.},
     year = {2016}
    }
    

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  • TY  - JOUR
    T1  - Dynamic Economic Dispatch for Combined Heat and Power (Steam and Gas) Units Using Seeker and Bacteria Foraging Optimization Algorithms
    AU  - Mohamed Ahmed Sadeek Mohamed
    Y1  - 2016/08/06
    PY  - 2016
    N1  - https://doi.org/10.11648/j.ajetm.20160102.12
    DO  - 10.11648/j.ajetm.20160102.12
    T2  - American Journal of Engineering and Technology Management
    JF  - American Journal of Engineering and Technology Management
    JO  - American Journal of Engineering and Technology Management
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    EP  - 24
    PB  - Science Publishing Group
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    UR  - https://doi.org/10.11648/j.ajetm.20160102.12
    AB  - In this paper, combined heat and power units are incorporated in dynamic economic dispatch to minimize total production costs considering realistic constraints such as ramp rate and spinning reserve limits effects over a short time span. Three evolutionary approaches, namely seeker optimization Algorithm (SOA), Seeker optimization with inertia weight factor (SOAIW) and Bacteria Foraging Optimization Algorithms (BFOA) are successfully implemented to solve the combined heat and power economic dispatch (CHPED) problem. These approaches have been tested on 12-generation units system with two steam, four gas and six cogeneration units. In addition, the performance tests are applied to measure the actual power output and the fuel consumption in every point tests for achieving different curves such as input/output, incremental heat rate and heat rate curves for the twelve units. The results of the four approaches are compared to obtain the best solution. The results show that the seeker optimization with improved inertia weight is able to achieve the best solution at less computational time.
    VL  - 1
    IS  - 2
    ER  - 

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Author Information
  • East Delta Electricity Production Company, Ismailia, Egypt

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