Compensation Of Transmission Grids By Using Optimal Allocation Of Facts Devices

Abstract

The increasing complexity and demand on modern power systems necessitate the efficient management of transmission grids to ensure reliability, optimal power flow and maximum power transfer capability. The goal of this research is to enhance power system network performance by means of Flexible Alternating Current Transmission System (FACTS) devices, specifically the Unified Power Flow Controller (UPFC). UPFCs are installed at optimum locations to minimize the Multiple Objective Index comprising of the individual objectives of Active Power Loss (APL), Reactive Power Loss (RPL) and voltage profile. This thesis introduces a novel advanced optimization technique i.e., Sea Horse Optimizer (SHO) to find the optimum locations and ratings for UPFC installation. Initially, the Newton-Raphson method is used without the UPFCs to compute APL, RPL and average Per Unit (p.u) voltage. SHO algorithm is then applied to determine the optimal locations and appropriate sizing for UPFC. The parameters—APL, RPL, and p.u voltage are then recalculated with the UPFC in place. The results demonstrate significant improvements in these parameters with the application of the SHO algorithm, showing superior performance as compared to the Artificial Bee Colony (ABC) optimization technique. The computational findings reveal that the SHO algorithm more accurately identifies optimal UPFC locations and sizing than the ABC optimization algorithm, thereby substantially reducing power losses and improving the voltage profile of the transmission system.