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 |
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
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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Download@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}
}
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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