Reconfiguration of Distribution Systems for Real Power Loss Minimization Using Adaptive Particle Swarm Optimization

This article presents a new method for reconfiguration of radial distribution systems for minimization of real power loss using adaptive particle swarm optimization without involving any additional cost for the installation of tap changing transformers, capacitors, and concerned switching equipment. The initial population for particle swarm optimization is created using a heuristic approach, and the particles are adapted with the help of graph theory to generate feasible individuals. This not only avoids tedious mesh check but also reduces the computational burden. The effectiveness of the proposed method is demonstrated on two different test systems. The application results show that the proposed method is efficient and promising for the minimization of real power loss of radial distribution systems.