Multiobjective Elitism based Genetic Algorithm for Service Restoration Planning through Feeder Reconfiguration in Distribution System with DG

Abstract

This work intends to foresee an service restoration plan for distribution system with DGs through network reconfiguration. The objectives in the problem formulation are minimizing the out of service area, reducing the number of switching operations, reducing the total network losses along with radial network structure, voltage and current limits are considered as constraints. Rowlett wheel selection process and elitism is used in Genetic Algorithm which gave better optimization results. An efficient algorithm is developed which predicts proper service restoration plan for distribution system planned and unplanned outages.The proposed algorithm is tested on IEEE 33 bus system and practical 44 bus distribution system Mysuru.