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Comparison of Mincut and Differential Evolution Algorithms for SCOPF with FACTS Devices under normal and n-1 contingency conditions

I. Catherine Divya, Dr. S. Nagalakshmi

In recent years, the electrical power demand has grown rapidly and electricity utilities are in need to serve more demand and also to maintain system security. FACTS devices reduce the flows of heavily loaded lines, maintain the bus voltages at desired levels.This paper applies Min Cut algorithm and Differential Evolution (DE) algorithm to select Optimal location of TCSC, SVC for Security Constrained Optimal Power Flow (SCOPF) under normal and n-1 contingency operating condition for pool model of deregulated power system. The proposed method includes the installation cost of FACTS devices which helps the system operators to operate the system in a more economic way. To validate the proposed approach simulations are performed on IEEE 6 bus test system. The results indicate that for optimal location and control of FACTS devices, DE algorithm is more efficient with and minimum active power generating cost as compared to Min Cut algorithm.