Optimal allocation of SVC to enhance Total Transfer Capability using Hybrid Genetics Algorithm and Sequential Quadratic Programming

This paper concentrates on studying the effects of SVC controller on Total Transfer Capability (TTC) of power transactions between source and sink areas using Hybrid Genetic Algorithm-Sequential Quadratic Programming (GA SQP). GA-SQP is a novel algorithm in power systems. The proposed algorithm is used to determine optimal placement of SVC controller and solving optimal power flow (OPF) to enhance TTC simultaneously. The proposed OPF is used to evaluate feasible TTC value 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 enhance the TTC of the system. The results clearly indicate that introduction of SVC with proper parameters and location could enhance TTC.