Cover
Vol. 9 No. 1 (2013)

Published: December 31, 2013

Pages: 29-35

Original Article

Optimal Conductor Selection in Radial Distribution Systems for Productivity Improvement Using Genetic Algorithm

Mahdi Mozaffari Legha 1 Hassan Javaheri 2 Mohammad Mozaffari Legha 3
1Department of Power Engineering, Shadegan Branch, Islamic Azad University, Shadegan, Iran
2Department of Electrical Engineering, University of Javid, Jiroft, Iran
3Department of Power Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran
History
  • Received: October 31, 2013
  • Available Online: December 31, 2013
DOI

https://doi.org/10.37917/ijeee.9.1.3

Abstract

Development of distribution systems result in higher system losses and poor voltage regulation. Consequently, an efficient and effective distribution system has become more urgent and important. Hence proper selection of conductors in the distribution system is important as it determines the current density and the resistance of the line. This paper examines the use of different evolutionary algorithms, genetic algorithm (GA), to optimal branch conductor selection in planning radial distribution systems with the objective to minimize the overall cost of annual energy losses and depreciation on the cost of conductors and reliability in order to improve productivity. Furthermore, The Backward-Forward sweep iterative method was adopted to solve the radial load flow analysis. Simulations are carried out on 69-bus radial distribution network using GA approach in order to show the accuracy as well as the efficiency of the proposed solution technique.

Keywords

References

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