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NOVEL HYBRID OPTIMIZATION TECHNIQUES FOR ANALYZING THE PERFORMANCE OF TRANSMISSION LINES USING SVC DEVICE

Journal: International Journal of Electrical Engineering and Technology (IJEET) (Vol.11, No. 1)

Publication Date:

Authors : ; ;

Page : 1-14

Keywords : Flexible AC Transmission System (FACTS); Power system; Transmission system; SVC; Firing Angle; Hybrid GA-PSO; GA-DA and DA-PSO;

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Abstract

The primary concern for contemporary power system networks in service are minimization of transmission loss, and Improvement of Voltage Stability under highly strained conditions due to continuously increased power demand. Hence, it is essential to examine the power system taking into account these factors. Static VAR Compensator (SVC) which is a flexible AC Transmission System (FACTS) in a power system improves the voltage stability, reduce the power loss of the system. The addition of SVC FACTS devices in the overall system has different approaches. This proposed paper will present new approach on modeling of the device by varying the firing angle of the control power electronic device of the FACTS device. This is achieved by using Hybrid Optimization which is participated to confirm the finest location of the SVC device and optimal firing angle of the SVC. Different methods of Hybrid GA-PSO, GA-DA and DA-PSO are proposed in this paper, to find out the most favorable location and firing angle of SVC in the power system. The location of the device is optimized by GA or DA and the optimized firing angle is done by means of DA and PSO. As the two different Optimizing techniques are made use of to resolve single objective function, it is known as Hybridization. The predictable optimization is an efficient method to find the optimal location of SVC device and also rising voltage profile and falling the power system losses in the line. The Hybrid GA-PSO, GA-DA and DA-PSO methods are tested on IEEE 30 bus test systems and simulation results are presented. Simulations have been implemented in MATLAB Software and the IEEE 30 bus systems have been used as case studies.

Last modified: 2020-05-19 23:02:31