DocumentCode :
1792988
Title :
A two stage initialization based particle swarm optimization algorithm for optimal power flow solution with TCSC
Author :
Naresh Babu, A.V. ; Suresh, C.V. ; Sivanagaraju, S. ; Rama Mohana Rao, M.
Author_Institution :
DVR & Dr. HS MIC Coll. of Technol., Kanchikacherla, India
fYear :
2014
fDate :
19-20 Sept. 2014
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents a novel concept to solve optimal power flow (OPF) problem in the presence of series flexible alternating current transmission systems (FACTS) controller which is thyristor controlled series capacitor (TCSC). In the proposed algorithm, a two stage initialization process have been adopted and also it gives optimal solution with less number of generations which results in the reduction of the computation time. Numerical results are carried out on IEEE 30-bus system to demonstrate the effectiveness of the proposed algorithm for different objective functions with TCSC. The OPF results of proposed algorithm is compared with existing algorithm. The results reveal better solution and computational efficiency of the proposed algorithm.
Keywords :
IEEE standards; flexible AC transmission systems; load flow control; particle swarm optimisation; power capacitors; power transmission control; thyristors; FACTS controller; IEEE 30-bus system; OPF problem; TCSC; computation time; computational efficiency; flexible alternating current transmission systems; initialization process; optimal power flow problem; optimal power flow solution; particle swarm optimization algorithm; thyristor controlled series capacitor; Linear programming; Load flow; Mathematical model; Minimization; Power capacitors; Power system stability; Thyristors; FACTS; TCSC and two stage initialization; optimal power flow; power injection model (PIM);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Smart Electric Grid (ISEG), 2014 International Conference on
Conference_Location :
Guntur
Print_ISBN :
978-1-4799-4104-9
Type :
conf
DOI :
10.1109/ISEG.2014.7005612
Filename :
7005612
Link To Document :
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