Emergency reconfiguration and distribution system planning under the Single-Contingency Policy
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ISGT2012_2.pdf
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285.96 KB
Format
Adobe PDF
Checksum (MD5)
54bbd8d2224c5bbea9afdbff6229d701
Author(s)
Wang, J.
Carvalho, Pedro M. S.
Kirtley, James L., Jr.
Date Issued
January 2012
Journal
2012 IEEE PES Innovative Smart Grid Technologies (ISGT)
Publisher
Institute of Electrical and Electronics Engineers
Citation
Wang, J., Pedro M. S. Carvalho, and J. Kirtley. Emergency Reconfiguration and Distribution System Planning Under the Single-Contingency Policy. In 2012 IEEE PES Innovative Smart Grid Technologies (ISGT), 1-5. Institute of Electrical and Electronics Engineers, 2012.
Version
Author's final manuscript
Abstract
Emergency reconfiguration can improve distribution systems' reliability by enabling load transfer among substations. Previous studies, although present its operation strategies, seldom explore emergency reconfiguration's effects on distribution system planning. This paper explores how reconfiguration affects planning decisions and what benefits reconfiguration can bring to distribution system planning. For this purpose, two specific planning problems, planning substation capacity and allocating transformers, are studied under the Single-Contingency Policy (SCP). LP models are developed to find the optimal decisions in above problems. The main implications of this paper are: (1) enabling reconfigurable feeders can increase reliability with lower capital investment and operational cost when comparing to reinforcing transformer capacity; (2) the max-load of individual substation depends on its neighboring substations' characteristics; (3) the reliability of a set of well interconnected substations depends on the max-shortage of one of its substations; and (4) allocating transformers according to distribution networks' reconfiguration capability can improve distribution systems' reliability.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
https://doi.org/10.1109/ISGT.2012.6175678
