Optimal Allocation and Size of FACTS Devices Using Several Optimizers: a Comprehensive Study

FACTS devices are playing an essential role in modern power systems, as they have the ability to control the parameters of a system's transmission lines so that the transferability of the system is improved, and the overall performance is enhanced. However, it is crucial to identify the best allocation and size of the incorporated FACTS device to achieve the best results considering the objective required. In this paper, several FACTS devices are incorporated into the IEEE 30-bus standard system, where the optimal allocation and size of such devices are required regarding the cost of generation and power losses as a single objective function of each, considering the integration of wind turbines in the system. The optimization is performed using several recent optimizers including Moth Flame Optimizer (MFO), Whales Optimization Algorithm (WOA), Skill Optimization Algorithm (SOA), and Equilibrium Optimizer (EO), investigating the best results concluded by such optimizers. Simulation results reveal that the EO algorithm is more efficient and superior for optimal allocation and size of FACTS devices solution compared with the other recent algorithms.