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A New GA – Based and Graph Theory Supported Distribution System Planning
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| Communications in Computer and Information Science |
Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques 4th International Conference on Intelligent Computing, ICIC 2008 Shanghai, China, September 15-18, 2008 Proceedings
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| 10.1007/978-3-540-85930-7_2 |
| De-Shuang Huang, Donald C. Wunsch II, Daniel S. Levine and Kang-Hyun Jo |
A New GA – Based and Graph Theory Supported Distribution System Planning
Sajad Najafi Ravadanegh1 
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University of Islamic Azad - Branch of Ilkhichy, Tabriz, Iran |
Abstract
After Optimal Distribution Substation locating, distribution feeder routing is the main problem in distribution system planning
and its expansion. This paper presents a new approach based on simultaneous application of graph theory and genetic algorithm
to solve optimal high voltage substation placement and feeder routing in distribution system. The proposed method solves hard
satisfactory optimization problem with different kinds of operational and optimization constraints. Since it is formulated
as a combinatorial optimization problem, it is difficult to solve such a large scale problem. A minimum spanning tree algorithm
is used to generate a set of feasible initial population. To reduce computational time and avoiding from infeasible solution
a special coding is generated for GA operator such as crossover and mutation. This coding guaranties validity of solution
toward global optimum. The method is examined in two large – scale distribution system.
Keywords Genetic Algorithm - Minimum Spanning Tree - DSP - Graph Theory
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