Title :
Optimal Location of TCSCs in a Power System by Means of Genetic Algorithms Considering Loss Reduction
Author :
Kazemi, A. ; Jamali, S. ; Habibi, M. ; Ramezan-Jamaat, S.
Author_Institution :
Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran
Abstract :
This paper presents a genetic algorithm based method to use TCSCs in power systems in order to increase system loadability and to decrease the total loss. Optimizations are done on two parameters: the location of TCSCs and their values. A sensitivity analysis is used and the most sensitive lines are chosen to be compensated by TCSCs. For this purpose, the steady state model of TCSC is utilized. The proposed algorithm is realized on a 30-bus standard IEEE network and results are mentioned. Obtained results show that the choice of optimum number and values of TCSCs in transmission lines increases the system loadability and decreases the total loss.
Keywords :
capacitor switching; genetic algorithms; power transmission lines; sensitivity analysis; thyristor applications; 30-bus standard IEEE network; TCSC; genetic algorithm based method; optimization; sensitivity analysis; steady state model; thyristor controlled series capacitor; transmission line; Genetic algorithms; Power capacitors; Power system analysis computing; Power system modeling; Power systems; Power transmission lines; Propagation losses; Sensitivity analysis; Steady-state; Thyristors; TCSC; genetic algorithms; loss reduction; optimal location; system loadability;
Conference_Titel :
Power and Energy Conference, 2006. PECon '06. IEEE International
Conference_Location :
Putra Jaya
Print_ISBN :
1-4244-0273-5
Electronic_ISBN :
1-4244-0274-3
DOI :
10.1109/PECON.2006.346634
