Water, Energy and Food Algorithm with Optimal Allocation and Sizing of Renewable Distributed Generation for Power Loss Minimization in Distribution Systems (WEF)

Distributed generation (DG) plays a vital role in electrical power networks. However, loss reduction, voltage profile improvement, friendly environment, and reliability are all benefits of DG units. In this research work, worthwhile methodology is recommended for optimal allocation traditional (gas turbine) renewable energy sources that based on distributed generators which include solar wind the distribution system. The major objective paper minimization real, reactive losses emissions produced during application these conventional sources. Originally, best locations to place identified using concept water, energy, food algorithm (WEFA). number sizes selected (wind solar) determined by applying concepts Dragonfly Algorithm. Weibull beta functions modeled extract exact position fix our DGs minimize within network. To assess performance WEF five different cases scenario considered capacity, Location Bus, profile, maximum as well utilization rate. proposed Algorithm tested IEEE standard 33-bus simulated results were compared with others found literature be better terms reductions.