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ARPN Journal of Science and Technology >> Volume 7, Issue 1, January 2017

ARPN Journal of Science and Technology


Novel Optimization Based on the Genetic Algorithm for Economic Dispatch of 30 Bus IEEE Test Systems

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Author Hamed Aliyari, Reza Effatnejad, Mehdi Savaghebi, Hamed Tadayyoni
ISSN 2225-7217
On Pages 407-412
Volume No. 4
Issue No. 7
Issue Date August 01, 2014
Publishing Date August 01, 2014
Keywords Genetic Algorithm (GA), Economic dispatch, Power loss, IEEE tests systems



Abstract

Economic load dispatches (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 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. Found some of the available answers by the GA, GA implementation using the Arithmetic crossover operators. Simulation results on the IEEE 30-bus electrical network with the proposed GA are applied to types of ELD problems cost functions. The experimental results show that the proposed GA approach is comparatively capable of obtaining higher quality solution.


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