Economic Load Dispatch with the Proposed GA Algorithm for Large Scale System
Journal of Energy and Natural Resources
Volume 3, Issue 1, February 2014, Pages: 1-5
Received: Jan. 7, 2014; Published: Feb. 20, 2014
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Authors
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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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.
Keywords
Non-Smooth Cost Functions, Genetic Algorithm, Economic Dispatch, GA, IEEE Tests Systems
To cite this article
Hamed Aliyari, Reza Effatnejad, Ardavan Areyaei, Economic Load Dispatch with the Proposed GA Algorithm for Large Scale System, Journal of Energy and Natural Resources. Vol. 3, No. 1, 2014, pp. 1-5. doi: 10.11648/j.jenr.20140301.11
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