DocumentCode :
648116
Title :
A benders decomposition approach to corrective security constrained OPF with power flow control devices
Author :
Mohammadi, Javad ; Hug, Gabriela ; Kar, Soummya
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
2013
fDate :
21-25 July 2013
Firstpage :
1
Lastpage :
5
Abstract :
This paper studies a DC Corrective Security-Constrained OPF (SCOPF) in electricity networks in which the transmission lines are potentially instrumented with Distributed Flexible AC Transmission Systems (DFACTS). Hence, in the considered SCOPF, the transmission lines´ reactance along with the generators´ output are considered as control variables. The objective of this SCOPF model is to obtain minimum generation cost while maintaining the system N-1 secure. Benders decomposition is applied to solve the discussed DC SCOPF problem. Case studies for the IEEE 30-bus test system, the IEEE 39-bus test system and the IEEE 118-bus test system are presented. The performance of Benders decomposition is compared to a brute force approach, in which the DC SCOPF is solved as a single optimization problem, with respect to run-time and accuracy of the results.
Keywords :
flexible AC transmission systems; load flow control; optimisation; power transmission lines; DFACTS; IEEE 118-bus test system; IEEE 30-bus test system; IEEE 39-bus test system; SCOPF model; benders decomposition approach; brute force approach; control variables; corrective security constrained OPF; distributed flexible AC transmission systems; electricity networks; minimum generation cost; power flow control devices; run-time; single optimization problem; transmission lines; Flexible AC transmission systems; Force; Generators; Optimization; Power transmission lines; Security; Benders Decomposition; DFACTS; SCOPF;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
ISSN :
1944-9925
Type :
conf
DOI :
10.1109/PESMG.2013.6672684
Filename :
6672684
Link To Document :
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