Optimal Capacitor Placement Using Particle Swarm Optimization (PSO) Algorithm

The program referenced in this document achieves optimal capacitor placement using the Particle Swarm Optimization (PSO) algorithm. This program finds applications across multiple engineering disciplines, with particular significance in electrical engineering, mechanical engineering, and control systems. The implementation utilizes PSO's population-based optimization approach where candidate solutions (particles) move through the search space to find optimal capacitor locations and sizes. The code typically includes fitness functions evaluating power loss reduction, voltage profile improvement, and cost minimization. Additionally, this program serves to enhance energy efficiency through intelligent capacitor deployment. In practical power systems, capacitors play crucial roles in energy storage and reactive power compensation. The algorithm's implementation involves parameter initialization, velocity updates, and position adjustments using social and cognitive components. This program will become increasingly important for improving energy utilization efficiency and enhancing power system stability, with key functions handling constraint validation and convergence criteria checking.