DocumentCode :
70314
Title :
Topology Control for Load Shed Recovery
Author :
Escobedo, Adolfo R. ; Moreno-Centeno, Erick ; Hedman, Kory W.
Author_Institution :
Dept. of Ind. & Syst. Eng., Texas A&M Univ., College Station, TX, USA
Volume :
29
Issue :
2
fYear :
2014
fDate :
Mar-14
Firstpage :
908
Lastpage :
916
Abstract :
This paper introduces load shed recovery actions for transmission networks by presenting the dc optimal load shed recovery with transmission switching model (DCOLSR-TS). The model seeks to reduce the amount of load shed, which may result due to transmission line and/or generator contingencies, by modifying the bulk power system topology. Since solving DCOLSR-TS is computationally difficult, the current work also develops a heuristic (MIP-H), which improves the system topology while specifying the required sequence of switching operations. Experimental results on a list of N-1 and N-2 critical contingencies of the IEEE 118-bus test case demonstrate the advantages of utilizing MIP-H for both online load shed recovery and recurring contingency-response analysis. This is reinforced by the introduction of a parallelized version of the heuristic (Par-MIP-H), which solves the list of critical contingencies close to 5x faster than MIP-H with 8 cores and up to 14x faster with increased computational resources. The current work also tests MIP-H on a real-life, large-scale network in order to measure the computational performance of this tool on a real-world implementation.
Keywords :
electric generators; load shedding; power supply quality; power transmission control; power transmission lines; power transmission planning; DC optimal load shed recovery; DCOLSR-TS; IEEE 118-bus test; N-1 critical contingency; N-2 critical contingency; bulk power system topology control; computational performance measurement; generator contingency; heuristic MIP-H; load shed recovery; load shed reduction; recurring contingency response analysis; transmission line; transmission networks; transmission switching model; Computational modeling; Generators; Load modeling; Network topology; Power transmission lines; Switches; Topology; Contingency analysis; heuristics; load shed recovery; parallel algorithms; transmission line switching;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2013.2286009
Filename :
6648720
Link To Document :
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