CLC number: TM73
On-line Access: 2015-05-05
Received: 2014-05-18
Revision Accepted: 2014-10-22
Crosschecked: 2015-03-04
Cited: 3
Clicked: 7247
Tahir Nadeem Malik, Salman Zafar, Saaqib Haroon. An improved chaotic hybrid differential evolution for the short-term hydrothermal scheduling problem considering practical constraints[J]. Frontiers of Information Technology & Electronic Engineering, 2015, 16(5): 404-417.
@article{title="An improved chaotic hybrid differential evolution for the short-term hydrothermal scheduling problem considering practical constraints",
author="Tahir Nadeem Malik, Salman Zafar, Saaqib Haroon",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="16",
number="5",
pages="404-417",
year="2015",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1400189"
}
%0 Journal Article
%T An improved chaotic hybrid differential evolution for the short-term hydrothermal scheduling problem considering practical constraints
%A Tahir Nadeem Malik
%A Salman Zafar
%A Saaqib Haroon
%J Frontiers of Information Technology & Electronic Engineering
%V 16
%N 5
%P 404-417
%@ 2095-9184
%D 2015
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1400189
TY - JOUR
T1 - An improved chaotic hybrid differential evolution for the short-term hydrothermal scheduling problem considering practical constraints
A1 - Tahir Nadeem Malik
A1 - Salman Zafar
A1 - Saaqib Haroon
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 16
IS - 5
SP - 404
EP - 417
%@ 2095-9184
Y1 - 2015
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1400189
Abstract: Short-term hydrothermal scheduling (STHTS) is a non-linear and complex optimization problem with a set of operational hydraulic and thermal constraints. Earlier, this problem has been addressed by several classical techniques; however, due to limitations such as non-linearity and non-convexity in cost curves, artificial intelligence tools based techniques are being used to solve the STHTS problem. In this paper an improved chaotic hybrid differential evolution (ICHDE) algorithm is proposed to find an optimal solution to this problem taking into account practical constraints. A self-adjusted parameter setting is obtained in differential evolution (DE) with the application of chaos theory, and a chaotic hybridized local search mechanism is embedded in DE to effectively prevent it from premature convergence. Furthermore, heuristic constraint handling techniques without any penalty factor setting are adopted to handle the complex hydraulic and thermal constraints. The superiority and effectiveness of the developed methodology are evaluated by its application in two illustrated hydrothermal test systems taken from the literature. The transmission line losses, prohibited discharge zones of hydel plants, and ramp rate limits of thermal plants are also taken into account. The simulation results reveal that the proposed technique is competent to produce an encouraging solution as compared with other recently established evolutionary approaches.
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