DocumentCode
2065203
Title
Computationally efficient optimal Transmission Switching: Solution space reduction
Author
Barrows, C. ; Blumsack, S. ; Bent, R.
Author_Institution
Dept. of Energy & Miner. Eng., Pennsylvania State Univ., University Park, PA, USA
fYear
2012
fDate
22-26 July 2012
Firstpage
1
Lastpage
8
Abstract
Recent studies have shown that the dynamic removal of transmission lines from operation (“Transmission Switching”) can reduce the costs associated with power system operation. Smart Grid technologies introduce flexibility into the transmission network topology and enable state dependent co-optimization of generation and network topology. The optimal transmission topology problem has been posed in previous research on small test systems. However, the problem complexity and large system size makes optimal transmission switching (OTS) intractable on real power systems. We analyze the optimal transmission switching results of prior work on the RTS-96 network and find that most of the economic benefits arise from switching a small number of lines. We decompose the results to determine the marginal savings contribution of each optimally switched line. Our marginal analysis leads to the development of an off-line screening method, based on network sensitivities, for identifying candidate switchable lines. When compared to OTS on the RTS-96 network, our screening tool generates near optimal solutions in a fraction of the time.
Keywords
optimisation; power transmission lines; smart power grids; RTS-96 network; computationally efficient optimal transmission switching; marginal analysis; network sensitivity; off-line screening method; optimal transmission topology problem; power system operation; power transmission lines; smart grid technology; solution space reduction; state dependent cooptimization; transmission network topology; Generators; Indexes; Load flow; Network topology; Power transmission lines; Security; Switches; Transmission switching; complex networks; smart grid;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location
San Diego, CA
ISSN
1944-9925
Print_ISBN
978-1-4673-2727-5
Electronic_ISBN
1944-9925
Type
conf
DOI
10.1109/PESGM.2012.6345550
Filename
6345550
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