Department of Electrical Engineering, University of Kurdistan, Sanandaj, Iran
Abstract
In this paper, a Non-dominated Sorting Genetic Algorithm-II (NSGA-II) based approach is presented for distribution system reconfiguration. In contrast to the conventional GA based methods, the proposed approach does not require weighting factors for conversion of multi-objective function into an equivalent single objective function. In order to illustrate the performance of the proposed method, 33-bus and 69-bus distribution networks have been employed which have led to the desired results.
Moshtagh, J. and Ghasemi, S. (2007). Optimal Distribution System Reconfiguration Using Non-dominated Sorting Genetic Algorithm (NSGA-II). Journal of Operation and Automation in Power Engineering, 1(1), 12-21.
MLA
Moshtagh, J. , and Ghasemi, S. . "Optimal Distribution System Reconfiguration Using Non-dominated Sorting Genetic Algorithm (NSGA-II)", Journal of Operation and Automation in Power Engineering, 1, 1, 2007, 12-21.
HARVARD
Moshtagh, J., Ghasemi, S. (2007). 'Optimal Distribution System Reconfiguration Using Non-dominated Sorting Genetic Algorithm (NSGA-II)', Journal of Operation and Automation in Power Engineering, 1(1), pp. 12-21.
CHICAGO
J. Moshtagh and S. Ghasemi, "Optimal Distribution System Reconfiguration Using Non-dominated Sorting Genetic Algorithm (NSGA-II)," Journal of Operation and Automation in Power Engineering, 1 1 (2007): 12-21,
VANCOUVER
Moshtagh, J., Ghasemi, S. Optimal Distribution System Reconfiguration Using Non-dominated Sorting Genetic Algorithm (NSGA-II). Journal of Operation and Automation in Power Engineering, 2007; 1(1): 12-21.
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