An Enhanced Evolutionary Algorithm for Providing Energy Management Schedule in the Smart Distribution Network

Penetration of distributed generation resources including wind power and solar photovoltaicunits in distribution system has been increased, and it is important to examine their impact on the distribution systems’ operationin term of reliability. In this paper, the multi-objective dynamicfeeder reconfiguration is introduced as an efficient approach for providing an energy management schedule in the distribution gridconsidering energy lossandenergy not supplied as the objective functions in the presence of renewable energy sourcesandcapacitor units.In addition, the effect of uncertaintyrelated to power demand is considered in the evaluations. Tothis end, anenhancedparticle swarm optimization algorithm is provided in this paper,the proposed approach is applied to the 33-node testing system.