Enhancing Energy Efficiency in Power Systems: Particle Swarm Optimization for Minimizing Power Losses in the IEEE 14-Bus System

Abstract

The Particle Swarm Optimization (PSO) algorithm, renowned for its expeditious attainment of optimal solutions, demonstrates exceptional efficacy when utilized in the context of the IEEE 14-bus system. Importantly, the algorithm's remarkable effectiveness in the reduction of power losses is clearly evidenced by its rapid convergence within a restricted number of iterations. This serves to underscore its capacity to significantly augment energy efficiency within power systems. The findings accentuate PSO's invaluable status as a versatile optimization tool with multifaceted applications, even in the intricate scenarios encountered within power systems. The ability of PSO to adeptly navigate complex problem spaces situates it as a potent instrument for addressing challenges pertaining to energy loss, thereby showcasing its adaptability and usefulness across a diverse range of contexts within the domain of power system optimization. The demonstrated triumph of PSO within the IEEE 14-bus system underscores its importance as a pragmatic and efficient solution for optimizing power system performance and minimizing energy dissipation.