Optimal localization of UPFC for transmission line losses minimizing using particle swarm optimization

الملخص EN

Losses in the transmission line have a significant and growing impact on power systems around the world.

Line losses overheat power lines, therefore electrical power systems require powerful processors and intelligent management methods.

Flexible AC Transmission System (FACTS) device UPFC is one of the most important devices due to its ability to reduce total line losses that cause an increase in the transmission line capacity of the power system.

In this paper, we used Particle Swarm Optimization (PSO) to determine the optimal location for the installation of UPFC device to minimize losses in the transmission line in the Iraqi international grid (ING) 400kV using a proportional-integral (PI) based UPFC controller.

The potential solutions of PSO are called particles.

All the particles selected in this controller depend on their parameter only, which keeps feasible solutions in their memory.

The algorithm is coded in MATLAB and it is incorporated with the conventional Newton Raphson's load flow analysis.

The result shows that the proposed optimization method applied for two UPFC compensator parameters in the power system contributed to minimizing the active and reactive power losses under normal operating conditions using a modified version of the PSO Losses in the transmission line have a significant and growing impact on power systems around the world.

Line losses overheat power lines, therefore electrical power systems require powerful processors and intelligent management methods.

Flexible AC Transmission System (FACTS) device UPFC is one of the most important devices due to its ability to reduce total line losses that cause an increase in the transmission line capacity of the power system.

In this paper, we used Particle Swarm Optimization (PSO) to determine the optimal location for the installation of UPFC device to minimize losses in the transmission line in the Iraqi international grid (ING) 400kV using a proportional-integral (PI) based UPFC controller.

The potential solutions of PSO are called particles.

All the particles selected in this controller depend on their parameter only, which keeps feasible solutions in their memory.

The algorithm is coded in MATLAB and it is incorporated with the conventional Newton Raphson's load flow analysis.

The result shows that the proposed optimization method applied for two UPFC compensator parameters in the power system contributed to minimizing the active and reactive power losses under normal operating conditions using a modified version of the PSO algorithm.