DocumentCode :
1653668
Title :
Optimal Power Flow with TCSC using Genetic Algorithm
Author :
Lakshmi, G.V. ; Amaresh, K.
Author_Institution :
KSRM Coll. of Eng., Kadapa, India
fYear :
2012
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents solution of Optimal Power Flow (OPF) with different objective functions i.e. fuel cost minimization and active power loss minimization using heuristic technique namely Genetic Algorithm (GA). The basic OPF solution is obtained with fuel cost minimization as the objective function and the optimal settings of the power system are determined. For reactive power optimization, active power loss has been taken as the objective function. OPF solution with Thyristor Controlled Series Compensator (TCSC) device is carried out considering fuel cost minimization and active power loss minimization as objective. TCSC is used to minimize the total fuel cost and active power losses. All the above cases are studied using Genetic Algorithm. To evaluate the proposed method, IEEE 30 bus system is used. The suggested technique or method is programmed under MATLAB software. The results illustrate the efficiency of the proposed method.
Keywords :
IEEE standards; genetic algorithms; load flow control; mathematics computing; minimisation; thyristors; GA; IEEE 30 bus system; Matlab software; OPF; TCSC device; active power loss; active power loss minimization; fuel cost minimization; genetic algorithm; heuristic technique; optimal power flow; power system; reactive power optimization; thyristor controlled series compensator device; Biological cells; Fuels; Generators; Genetic algorithms; Minimization; Sociology; Statistics; Cost minimization; Genetic Algorithm; Loss minimization; MATLAB software; Optimal Power flow; TCSC;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics, Drives and Energy Systems (PEDES), 2012 IEEE International Conference on
Conference_Location :
Bengaluru
Print_ISBN :
978-1-4673-4506-4
Type :
conf
DOI :
10.1109/PEDES.2012.6484394
Filename :
6484394
Link To Document :
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