DocumentCode :
3347414
Title :
Genetic Algorithm approach for Optimal Power Flow with FACTS devices
Author :
Banu, R. Narmatha ; Devaraj, D.
Author_Institution :
Dept. of Electr. & Electron. Eng., Arulmigu Kalasalingam Coll. of Eng., Srivilliputhur
Volume :
3
fYear :
2008
fDate :
6-8 Sept. 2008
Abstract :
This paper presents a genetic algorithm (GA) based approach for solving the optimal power flow with FACTS devices to eliminate line over loads in the system following single line outages. The proposed approach introduces an index called the single contingency sensitivity (SCS) index to rank the system branches according to their suitability for installing thyristor controlled series capacitors(TCSCs). Once the locations are determined, the problem of identifying the optimal TCSC parameters is formulated as an optimization problem and a GA based approach is applied to solve the optimal power flow (OPF) problem. IEEE 30 bus system is considered to demonstrate the suitability of this algorithm. Case studies on IEEE test system show the effectiveness of this algorithm.
Keywords :
capacitors; genetic algorithms; sensitivity analysis; thyristors; FACTS devices; genetic algorithm; optimal power flow; single contingency sensitivity index; single line outages; thyristor controlled series capacitors; Control systems; Genetic algorithms; Load flow; Optimal control; Power capacitors; Power system faults; Power system security; Power transmission lines; System performance; Thyristors; Flexible AC transmission system (FACTS) devices; Power system security; Security Enhancement; Thyristor controlled series capacitors (TCSCs);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems, 2008. IS '08. 4th International IEEE Conference
Conference_Location :
Varna
Print_ISBN :
978-1-4244-1739-1
Electronic_ISBN :
978-1-4244-1740-7
Type :
conf
DOI :
10.1109/IS.2008.4670477
Filename :
4670477
Link To Document :
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