Transforming an Existing Distribution Network Into Autonomous MICRO-GRID using particle swarm optimization (Review)

A distribution network with renewable and fossil-based resources can be operated as a microgrid,\ud in autonomous or nonautonomous modes. Autonomous operation of a distribution\ud network requires cautious planning. In this context, a detailed methodology to develop a\ud sustainable autonomous micro-grid is presented in this paper. The proposed methodology\ud suggests novel sizing and siting strategies for distributed generators and structural\ud modifications for autonomous micro-grids. This paper introduces the Particle Swarm\ud Optimization (PSO) algorithm to solve the optimal network reconfiguration problem for\ud power loss reduction. The PSO is a relatively new and powerful intelligence evolution\ud method for solving optimization problems. It is a population-based approach. The PSO was\ud inspired from natural behavior of the bees on how they find the location of most flowers. The\ud proposed PSO algorithm is introduced with some modifications such as using an inertia\ud weight that decreases linearly during the simulation. This setting allows the PSO to explore a\ud large area at the start of the simulatio