Optimal Conductor Selection in Radial Distribution Systems for Productivity Improvement Using Genetic Algorithm
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 curr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
College of Engineering, University of Basrah
2013-06-01
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| Series: | Iraqi Journal for Electrical and Electronic Engineering |
| Subjects: | |
| Online Access: | http://ijeee.org/volums/volume9/IJEEE9PDF/paper93.pdf |
| Summary: | 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. |
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| ISSN: | 1814-5892 2078-6069 |