DocumentCode :
735848
Title :
Temperature-based instanton analysis: Identifying vulnerability in transmission networks
Author :
Kersulis, Jonas ; Hiskens, Ian ; Chertkov, Michael ; Backhaus, Scott ; Bienstock, Daniel
Author_Institution :
Elec. Eng. & Comput. Sci., Univ. of Michigan, Ann Arbor, MI, USA
fYear :
2015
fDate :
June 29 2015-July 2 2015
Firstpage :
1
Lastpage :
6
Abstract :
A time-coupled instanton method for characterizing transmission network vulnerability to wind generation fluctuation is presented. To extend prior instanton work to multiple-time-step analysis, line constraints are specified in terms of temperature rather than current. An optimization formulation is developed to express the minimum wind forecast deviation such that at least one line is driven to its thermal limit. Results are shown for an IEEE RTS-96 system with several wind-farms.
Keywords :
power transmission protection; wind power plants; IEEE RTS-96 system; temperature based instanton analysis; time-coupled instanton method; transmission network vulnerability; wind generation fluctuation; Heating; Forecast uncertainty; Optimization; Transmission operations; Wind energy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PowerTech, 2015 IEEE Eindhoven
Conference_Location :
Eindhoven
Type :
conf
DOI :
10.1109/PTC.2015.7232816
Filename :
7232816
Link To Document :
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