NDLI: Switch Allocation Problems in Power Distribution Systems

Content Provider	IEEE Xplore Digital Library
Author	Silva de Assis, L. Vizcaino Gonzalez, J.F. Usberti, F.L. Lyra, C. Cavellucci, C. Von Zuben, F.J.
Copyright Year	1969
Abstract	Reliability analysis of power systems has been attracting increasing attention. Regulatory agencies establish reliability standards that, if infringed, result in costly fines for the utility suppliers. A special concern pertains to the distribution networks on which most failures occur. The allocation of switches is a possible strategy to improve reliability, by allowing network reconfiguration to isolate contingencies and restore power to dark areas. This paper proposes an optimization methodology to allocate switches on radially operated distribution networks. The solution framework considers sectionalizing and tie switches of different capacities, with manual or automatic operation schemes. The approach minimizes the costs of allocation and energy not supplied, under reliability and flow capacity constraints. The solution framework is based on memetic algorithm concepts with a structured population. Case studies with a large network and real-world scenarios were used to evaluate the methodology. The results indicate that significant cost reductions can be achieved using the proposed solutions.
Sponsorship	IEEE Power Engineering Society
Starting Page	246
Ending Page	253
Page Count	8
File Size	1213625
File Format	PDF
ISSN	08858950
Volume Number	30
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Switches Reliability Resource management Sociology Statistics Power system reliability Memetics reliability management Distribution system reliability memetic algorithms optimal switch allocation reliability estimation
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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