Optimal Distribution System Reconfiguration Using Nondominated
Sorting Genetic Algorithm (NSGA-II)
J. Moshtagh, и S. Ghasemi. Journal of Operation and Automation in Power Engineering, 1 (1):
12-21(2013)
Аннотация
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.
%0 Journal Article
%1 moshtagh2013optimal
%A Moshtagh, J
%A Ghasemi, S
%D 2013
%J Journal of Operation and Automation in Power Engineering
%K Algorithm Balancing Distribution Genetic Load Losses Non-dominated Power Reconfiguration Reduction Sorting System
%N 1
%P 12-21
%T Optimal Distribution System Reconfiguration Using Nondominated
Sorting Genetic Algorithm (NSGA-II)
%U http://www.mdpi.com/1996-1073/6/3/1439/pdf
%V 1
%X 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.
@article{moshtagh2013optimal,
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.},
added-at = {2014-01-30T11:21:35.000+0100},
author = {Moshtagh, J and Ghasemi, S},
biburl = {https://www.bibsonomy.org/bibtex/25d28590ea48ee98266b041b7882ab37c/justice},
interhash = {bb42f925e845af21dbe792ee96b73628},
intrahash = {5d28590ea48ee98266b041b7882ab37c},
journal = {Journal of Operation and Automation in Power Engineering},
keywords = {Algorithm Balancing Distribution Genetic Load Losses Non-dominated Power Reconfiguration Reduction Sorting System},
number = 1,
pages = {12-21},
timestamp = {2014-01-30T11:26:21.000+0100},
title = {Optimal Distribution System Reconfiguration Using Nondominated
Sorting Genetic Algorithm (NSGA-II)},
url = {http://www.mdpi.com/1996-1073/6/3/1439/pdf},
volume = 1,
year = 2013
}