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

Hamed Aliyari; Reza Effatnejad; Ardavan Areyaei

doi:doi:10.11648/j.jenr.20140301.11

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

Hamed Aliyari, Reza Effatnejad, Ardavan Areyaei

Published in Journal of Energy and Natural Resources (Volume 3, Issue 1)

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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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

Hamed Aliyari

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

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

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

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Plain Text BibTeX RIS

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

Copy | Download

@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}
}

Copy | Download

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  -

Copy | Download