Optimal Placement and Sizing of TCSC & SVC for Improvement Power System Operation using Crow Search Algorithm

Abstract: The need for more efficient power systems has prompted the use of a new technologies includes Flexible AC transmission system (FACTS) devices. FACTS devices provides new opportunity for controlling the line power flow and minimizing losses while maintaining the bus voltages within a permissible limit. In this thesis a new method is proposed for optimal placement and sizing of Thyristor controlled series compensator (TCSC) and Static VAR compensator (SVC) for improvement power system operation using crow search algorithm. Optimal place for installation of TCSC and SVC is determined based on line’s reactive power flow and voltage collapse proximity indication (VCPI), respectively. Optimal size of FACTS devices as long as reactive power of generating units and optimal tap of transformers is computed by solving an optimization problem. The objective function is defined as minimizing the sum of the network costs includes costs of energy losses and costs of FACTS devices. Crow search algorithm is a novel metaheuristic optimization method that inspired from the intelligent behavior of crows in storing and retrieving foods. That’s this thesis is used for the first time in optimal placement and sizing of TCSC and SVC. The proposed method is simulated on IEEE 30 bus and 57 bus sample networks in MATLAB environment. Simulation results shows that crow search algorithm converges to optimal solution while meets all technical constraints.And Improves the power system efficiency.