Title :
Optimal placement of SVC to improve voltage profile using hybrid genetics algorithm and Sequential Quadratic Programming
Author :
Khandani, Farzad ; Soleymani, Soodabeh ; Mozafari, Babak
Author_Institution :
Sci. & Res. Branch, Islamic Azad Univ., Tehran, Iran
Abstract :
This paper concentrates on optimal placement of Static VAR Compensator (SVC) controller to improve voltage profile using a novel hybrid Genetic Algorithm and Sequential Quadratic Programming (GA-SQP) method. The proposed algorithm is used to determine optimal placement of SVC controller and solving optimal power flow (OPF) to improve voltage profile simultaneously. The proposed OPF is used to improve voltage profile within real and reactive power generation limits, line thermal limits, voltage limits and SVC operation limits. A 5 bus test system is used to demonstrate the effectiveness of the GA-SQP algorithm to improve voltage profile of the system. The results clearly indicate that introduction of SVC with proper parameters and location could improve voltage profile.
Keywords :
genetic algorithms; load flow; quadratic programming; reactive power; static VAr compensators; 5 bus test system; SVC operation limits; hybrid genetics algorithm; line thermal limits; optimal placement; optimal power flow; reactive power generation limit; real power generation limit; sequential quadratic programming; static VAR compensator; voltage limits; voltage profile improvement; Genetic Algorithm Sequential Quadratic Programming; Optimal Power Flow; SVC; Voltage profile;
Conference_Titel :
Electrical Power Distribution Networks (EPDC), 2011 16th Conference on
Conference_Location :
Bandar Abbas
Print_ISBN :
978-1-4577-0666-0