NDLI: A genetic based Service Restoration Algorithm for real-time operated Medium Voltage Distribution Networks using High Performance Computing

Content Provider	IEEE Xplore Digital Library
Author	Bravo, G. Prieto, J. Yunta, A. Trebolle, D. Salvini, S. Wallom, D.
Copyright Year	2012
Description	Author affiliation: INDRA (Bravo, G.; Prieto, J.) \|\| Unión Fenosa Distributión (Yunta, A.; Trebolle, D.) \|\| Oxford e-Research Centre The University of Oxford (Salvini, S.; Wallom, D.)
Abstract	This paper presents a new Service Restoration Algorithm for solving the restoration problem of a Medium Voltage Network after a fault. The algorithm is oriented to solve real complex problems dealing with up to thousands of switches. The resulting huge combinatorial problem is solved combining a classical genetic based approach with a probabilistic driven mutation, a smart selection of switches to try, and some heuristic processes to solve constrains when needed. Moreover, performance requirements for real-time operations or a future more sophisticated mutilobjective function are achieved by a High Performance Computing design.
Starting Page	1
Ending Page	6
File Size	241553
Page Count	6
File Format	PDF
ISBN	9781467328548
e-ISBN	9781467328562
e-ISBN	9781467328555
DOI	10.1109/UPEC.2012.6398594
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-04
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Substations Service Restoration High Performance Computing Switches Medium voltage Genetic Algorithm Genetics Genetic algorithms Testing Distribution Network Restoration
Content Type	Text
Resource Type	Article

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