DocumentCode :
2677427
Title :
Particle Swarm Optimization Algorithm to Find the Location of Facts Controllers for a Transmission Line
Author :
Kiran, S. Harish ; Subramani, C. ; Dash, S.S. ; Arunbhaskar, M. ; Jagadeeshkumar, M.
Author_Institution :
Dept. of EEE, Velammal Eng. Coll., Chennai, India
fYear :
2011
fDate :
20-22 July 2011
Firstpage :
1
Lastpage :
5
Abstract :
The main purpose of this project is to find the optimal location of FACTS controllers in a multi machine power system using particle swarm optimization (PSO). Using the proposed method, the location of FACTS controller, their type and rated values are optimized simultaneously. Among the various FACTS controllers, Thyristor Controlled Series Compensator (TCSC) and Unified Power Flow Controller (UPFC) are considered. The proposed algorithm is an effective method for finding the optimal choice and location of FACTS controller and also minimizing the overall system cost, which comprises of generation cost and the investment cost of the FACTS controller using PSO and conventional Newton Raphson´s power flow method. A MATLAB coding is developed for Enhanced Genetic Algorithm. In order to verify the effectiveness of the proposed method, IEEE 14- bus system is used.
Keywords :
Newton-Raphson method; flexible AC transmission systems; genetic algorithms; particle swarm optimisation; power transmission control; power transmission lines; FACTS controllers location; IEEE 14- bus system; MATLAB coding; Newton Raphson power flow method; PSO; enhanced genetic algorithm; flexible AC transmission systems; multimachine power system; particle swarm optimization algorithm; thyristor controlled series compensator; transmission line; unified power flow controller; Cost function; Inverters; Load flow; Power capacitors; Thyristors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Process Automation, Control and Computing (PACC), 2011 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-61284-765-8
Type :
conf
DOI :
10.1109/PACC.2011.5978856
Filename :
5978856
Link To Document :
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