The thesis addresses a comparative analysis of two optimization methods — Particle Swarm Optimization (PSO) and the Genetic Algorithm (GA) — for the coordinated operation of Phase-Shifting Transformers (PST). The phase angle of the PST is determined by both methods with the aim of reducing active power losses and relieving selected transmission lines in the IEEE 39-bus test power system.
In the initial stage, PSTs were inserted into three selected transmission lines whose loading we aimed to reduce. The analysis was carried out separately for each case, with further emphasis on comparing PSO and GA in terms of achieving target power flows and objective function values, computation time, result consistency, and sensitivity to algorithm parameters.
For performing simulations and analyses, the MATLAB and Python environments were used. The optimization results are presented graphically and include a detailed analysis and discussion of the impact of phase angle adjustments on power flows, system losses, and the loading of individual network elements.
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