NDLI: Evolving non-dominated solutions in multi objective fault section estimation for automated distribution networks

Content Provider	IEEE Xplore Digital Library
Author	Arya, A. Kumar, Y. Dubey, M.
Copyright Year	2010
Description	Author affiliation: Faculty in Electrical Engg. Deptt. MANIT, Bhopal-462051, India (Arya, A.; Kumar, Y.; Dubey, M.)
Abstract	Multiobjective evolutionary algorithms (MOEAs) that use nondominated sorting have been criticized mainly for their computational complexity and nonelitism approach. In this paper, we suggest a non-dominated sorting based multiobjective evolutionary algorithm (MOEA), called nondominated sorting genetic algorithm-II (NSGA-II) for solving the fault section estimation problem in automated distribution networks, which alleviates all the above difficulties. Due to the presence of various conflicting objective functions, the fault location task is a multi-objective, optimization problem. The considered FSE problem should be handled using Multiobjective Optimization techniques since its solution requires a compromise between different criteria. In the adopted formulation, these criteria are fast and accurate estimation of the potential fault location. In contrast to the conventional Genetic algorithm (GA) based approach; NSGA-II does not require weighting factors for conversion of such a multi-objective optimization problem into an equivalent single objective optimization problem. Based on the simulation results on four different automated distribution networks, the performance of the NSGA-II based scheme has been found significantly better than that of a conventional GA based method.
Starting Page	1
Ending Page	7
File Size	538045
Page Count	7
File Format	PDF
ISBN	9781424459384
e-ISBN	9781424459407
DOI	10.1109/POWERCON.2010.5666601
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Circuit faults Fault location Switches Estimation Convergence Optimization Fault currents NSGA-II Automated Distribution Networks Fault Section Estimation Genetic Algorithm Multiobjective Evolutionary algorithm
Content Type	Text
Resource Type	Article

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