Particle Swarm Optimization (PSO) is being explored for enhancing power system state estimation, particularly in a final year project focused on the IEEE 30 bus system. The discussion highlights the complexity of implementing PSO compared to traditional methods like Newton-Raphson and Gauss-Seidel, with suggestions for a hybrid approach to avoid oscillations in power systems. Participants emphasize the need for a basic understanding of PSO, with references to pseudo code and MATLAB resources to aid in coding. The project is considered ambitious for a bachelor's level, raising questions about its scope and feasibility. Guidance on defining iteration variables in MATLAB coding is also sought, indicating a need for practical coding assistance.