NDLI: Node-depth Encoding and Evolutionary Algorithms applied to service restoration in distribution systems

Content Provider	IEEE Xplore Digital Library
Author	Mansour, M.R. Santos, A.C. London, J.B. Delbem, A.C.B. Bretas, N.G.
Copyright Year	2010
Description	Author affiliation: Computer System Department of the ICMC - University of Sao Paulo, Brazil (Delbem, A.C.B.) \|\| Department of Electrical Engineering of the EESC - University of Sao Paulo, Brazil (Mansour, M.R.; Santos, A.C.; London, J.B.; Bretas, N.G.)
Abstract	Service restoration in distribution systems is usually formulated as a multi-objective and multi-constrained optimization problem. In order to improve the performance of Evolutionary Algorithms (EAs) applied in such problem, a new tree encoding, called Node-depth Encoding (NDE), has been successfully applied together with both a conventional EA and a modified version of the Non-Dominated Sorting Genetic Algorithm-II (NSGA-II). The objective of this paper is to verify what is the best choice to use to treat service restoration problem in large scale distribution systems? NDE with the conventional EA or NDE with the modified version of the NSGA-II. In order to do that, simulation results in two distribution systems are presented. One of these systems is the fairly large distribution system of Sao Carlos city in Brazil with 3,860 buses, 532 sectors, 509 normally closed sectionalizing switches, 123 normally open tie-switches, 3 substations, and 23 feeders.
Starting Page	1
Ending Page	8
File Size	507778
Page Count	8
File Format	PDF
ISBN	9781424465491
ISSN	19449925
e-ISBN	9781424465514
e-ISBN	9781424483570
DOI	10.1109/PES.2010.5589541
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Switches Encoding Substations Evolutionary computation Decision support systems Simulation Loading NSGA-II Service Restoration Large-Scale Distribution System Data Structure Node-depth Encoding Evolutionary Algorithms
Content Type	Text
Resource Type	Article

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