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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
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 RavadaneghContact Information

(1)  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


Contact Information Sajad Najafi Ravadanegh
Email: s.najafi@aut.ac.ir
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