Solution of Optimal Power Flow Using Genetic Algorithm with Facts Devices.

Optimal Power Flow (OPF) minimizes operational costs while ensuring power system stability. Incorporating Flexible AC Transmission System (FACTS) devices enhances efficiency by improving power transfer, reducing congestion, and enhancing voltage stability. These controllers provide dynamic compensation, minimizing infrastructure expansion needs. This study proposes a Genetic Algorithm (GA)-based OPF approach for tuning system parameters. Implemented on the IEEE 30-bus system, it minimizes fuel costs and the L-index (voltage stability metric). Unlike deterministic methods, GA efficiently handles non-convex OPF constraints. FACTS devices within the optimization framework improve voltage regulation and power flow control. Simulation results show that GA outperforms conventional techniques in cost-effectiveness, voltage stability, and computational efficiency. A comparative analysis highlights GA’s advantages, proving bio- inspired algorithms offer scalable solutions for modern grids. Key Words: Thyristor controlled series capacitor, optimal power flow, L-index.