Application of Artificial Intelligence Technique to Economic Load Dispatch of Thermal Power Generation Unit

Pragya Nema; Shraddha Gajbhiye

doi:doi:10.11648/j.ijepe.s.2014030602.13

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Application of Artificial Intelligence Technique to Economic Load Dispatch of Thermal Power Generation Unit

Pragya Nema, Shraddha Gajbhiye

Published in International Journal of Energy and Power Engineering (Volume 3, Issue 6-2)

Received: 5 November 2014 Accepted: 10 November 2014 Published: 12 November 2014

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Abstract

Economic Dispatch(ED) is one of the main problem of power system operation and control which determines the optimal real power settings of generating units with an objective of minimizing the total fuel cost, subjected to limits on generator real power output & transmission losses. In all practical cases, the fuel cost of generator can be represented as a quadratic function of real power generation. This paper describe and Introduce a new nature Inspired Artificial Intelligence method called Firefly Algorithm(FA). The Firefly Algorithm is a stochastic Meta heuristic approach based on the idealized behavior of the flashing characteristics of fireflies. The aim is to minimize the generating unit’s combined fuel cost having quadratic cost characteristics subjected to limits on generator real power output & transmission losses. This paper presents an application of the FA to ED with valve point loading for different Test Case system. The obtained solution quality and computation efficiency is compared to another artificial intelligence technique, called Genetic algorithm (GA) . The simulation results show that the proposed algorithm outperforms previous artificial intelligence method.

Published in	International Journal of Energy and Power Engineering (Volume 3, Issue 6-2) This article belongs to the Special Issue Distributed Energy Generation and Smart Grid
DOI	10.11648/j.ijepe.s.2014030602.13
Page(s)	15-20
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

Economic Dispatch, Firefly Algorithm, Genetic Algorithm

References

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APA Style

Pragya Nema, Shraddha Gajbhiye. (2014). Application of Artificial Intelligence Technique to Economic Load Dispatch of Thermal Power Generation Unit. International Journal of Energy and Power Engineering, 3(6-2), 15-20. https://doi.org/10.11648/j.ijepe.s.2014030602.13

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ACS Style

Pragya Nema; Shraddha Gajbhiye. Application of Artificial Intelligence Technique to Economic Load Dispatch of Thermal Power Generation Unit. Int. J. Energy Power Eng. 2014, 3(6-2), 15-20. doi: 10.11648/j.ijepe.s.2014030602.13

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AMA Style

Pragya Nema, Shraddha Gajbhiye. Application of Artificial Intelligence Technique to Economic Load Dispatch of Thermal Power Generation Unit. Int J Energy Power Eng. 2014;3(6-2):15-20. doi: 10.11648/j.ijepe.s.2014030602.13

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@article{10.11648/j.ijepe.s.2014030602.13,
  author = {Pragya Nema and Shraddha Gajbhiye},
  title = {Application of Artificial Intelligence Technique to Economic Load Dispatch of Thermal Power Generation Unit},
  journal = {International Journal of Energy and Power Engineering},
  volume = {3},
  number = {6-2},
  pages = {15-20},
  doi = {10.11648/j.ijepe.s.2014030602.13},
  url = {https://doi.org/10.11648/j.ijepe.s.2014030602.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.s.2014030602.13},
  abstract = {Economic Dispatch(ED) is one of the main problem of power system operation and control which determines the optimal real power settings of generating units with an objective of minimizing the total fuel cost, subjected to limits on generator real power output & transmission losses. In all practical cases, the fuel cost of generator can be represented as a quadratic function of real power generation. This paper describe and Introduce a new nature Inspired Artificial Intelligence method called Firefly Algorithm(FA). The Firefly Algorithm is a stochastic Meta heuristic approach based on the idealized behavior of the flashing characteristics of fireflies. The aim is to minimize the generating unit’s combined fuel cost having quadratic cost characteristics subjected to limits on generator real power output & transmission losses. This paper presents an application of the FA to ED with valve point loading for different Test Case system. The obtained solution quality and computation efficiency is compared to another artificial intelligence technique, called Genetic algorithm (GA) . The simulation results show that the proposed algorithm outperforms previous artificial intelligence method.},
 year = {2014}
}

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TY  - JOUR
T1  - Application of Artificial Intelligence Technique to Economic Load Dispatch of Thermal Power Generation Unit
AU  - Pragya Nema
AU  - Shraddha Gajbhiye
Y1  - 2014/11/12
PY  - 2014
N1  - https://doi.org/10.11648/j.ijepe.s.2014030602.13
DO  - 10.11648/j.ijepe.s.2014030602.13
T2  - International Journal of Energy and Power Engineering
JF  - International Journal of Energy and Power Engineering
JO  - International Journal of Energy and Power Engineering
SP  - 15
EP  - 20
PB  - Science Publishing Group
SN  - 2326-960X
UR  - https://doi.org/10.11648/j.ijepe.s.2014030602.13
AB  - Economic Dispatch(ED) is one of the main problem of power system operation and control which determines the optimal real power settings of generating units with an objective of minimizing the total fuel cost, subjected to limits on generator real power output & transmission losses. In all practical cases, the fuel cost of generator can be represented as a quadratic function of real power generation. This paper describe and Introduce a new nature Inspired Artificial Intelligence method called Firefly Algorithm(FA). The Firefly Algorithm is a stochastic Meta heuristic approach based on the idealized behavior of the flashing characteristics of fireflies. The aim is to minimize the generating unit’s combined fuel cost having quadratic cost characteristics subjected to limits on generator real power output & transmission losses. This paper presents an application of the FA to ED with valve point loading for different Test Case system. The obtained solution quality and computation efficiency is compared to another artificial intelligence technique, called Genetic algorithm (GA) . The simulation results show that the proposed algorithm outperforms previous artificial intelligence method.
VL  - 3
IS  - 6-2
ER  -

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Author Information

Pragya Nema

Engg Department, LNCT, Indore, India
Shraddha Gajbhiye

Electrical Engg Department, SVITS, Indore, India

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Plain Text BibTeX RIS

APA Style

Pragya Nema, Shraddha Gajbhiye. (2014). Application of Artificial Intelligence Technique to Economic Load Dispatch of Thermal Power Generation Unit. International Journal of Energy and Power Engineering, 3(6-2), 15-20. https://doi.org/10.11648/j.ijepe.s.2014030602.13

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ACS Style

Pragya Nema; Shraddha Gajbhiye. Application of Artificial Intelligence Technique to Economic Load Dispatch of Thermal Power Generation Unit. Int. J. Energy Power Eng. 2014, 3(6-2), 15-20. doi: 10.11648/j.ijepe.s.2014030602.13

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AMA Style

Pragya Nema, Shraddha Gajbhiye. Application of Artificial Intelligence Technique to Economic Load Dispatch of Thermal Power Generation Unit. Int J Energy Power Eng. 2014;3(6-2):15-20. doi: 10.11648/j.ijepe.s.2014030602.13

Copy | Download

@article{10.11648/j.ijepe.s.2014030602.13,
  author = {Pragya Nema and Shraddha Gajbhiye},
  title = {Application of Artificial Intelligence Technique to Economic Load Dispatch of Thermal Power Generation Unit},
  journal = {International Journal of Energy and Power Engineering},
  volume = {3},
  number = {6-2},
  pages = {15-20},
  doi = {10.11648/j.ijepe.s.2014030602.13},
  url = {https://doi.org/10.11648/j.ijepe.s.2014030602.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.s.2014030602.13},
  abstract = {Economic Dispatch(ED) is one of the main problem of power system operation and control which determines the optimal real power settings of generating units with an objective of minimizing the total fuel cost, subjected to limits on generator real power output & transmission losses. In all practical cases, the fuel cost of generator can be represented as a quadratic function of real power generation. This paper describe and Introduce a new nature Inspired Artificial Intelligence method called Firefly Algorithm(FA). The Firefly Algorithm is a stochastic Meta heuristic approach based on the idealized behavior of the flashing characteristics of fireflies. The aim is to minimize the generating unit’s combined fuel cost having quadratic cost characteristics subjected to limits on generator real power output & transmission losses. This paper presents an application of the FA to ED with valve point loading for different Test Case system. The obtained solution quality and computation efficiency is compared to another artificial intelligence technique, called Genetic algorithm (GA) . The simulation results show that the proposed algorithm outperforms previous artificial intelligence method.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - Application of Artificial Intelligence Technique to Economic Load Dispatch of Thermal Power Generation Unit
AU  - Pragya Nema
AU  - Shraddha Gajbhiye
Y1  - 2014/11/12
PY  - 2014
N1  - https://doi.org/10.11648/j.ijepe.s.2014030602.13
DO  - 10.11648/j.ijepe.s.2014030602.13
T2  - International Journal of Energy and Power Engineering
JF  - International Journal of Energy and Power Engineering
JO  - International Journal of Energy and Power Engineering
SP  - 15
EP  - 20
PB  - Science Publishing Group
SN  - 2326-960X
UR  - https://doi.org/10.11648/j.ijepe.s.2014030602.13
AB  - Economic Dispatch(ED) is one of the main problem of power system operation and control which determines the optimal real power settings of generating units with an objective of minimizing the total fuel cost, subjected to limits on generator real power output & transmission losses. In all practical cases, the fuel cost of generator can be represented as a quadratic function of real power generation. This paper describe and Introduce a new nature Inspired Artificial Intelligence method called Firefly Algorithm(FA). The Firefly Algorithm is a stochastic Meta heuristic approach based on the idealized behavior of the flashing characteristics of fireflies. The aim is to minimize the generating unit’s combined fuel cost having quadratic cost characteristics subjected to limits on generator real power output & transmission losses. This paper presents an application of the FA to ED with valve point loading for different Test Case system. The obtained solution quality and computation efficiency is compared to another artificial intelligence technique, called Genetic algorithm (GA) . The simulation results show that the proposed algorithm outperforms previous artificial intelligence method.
VL  - 3
IS  - 6-2
ER  -

Copy | Download