Optimal Allocation and Size of Multi-type Distributed Generators in Distribution System Using Dragonfly Optimization Algorithm

In this paper, a very newly swarm optimization technique namely a dragonfly optimization algorithm (DFOA) is used to allocate and size the distributed generators (DGs) along distribution networks. The multi-objective function is adapted to reduce the total system power loss, decrease the cost of DGs and improve the voltage profile with the resolve of improving the operating performance. In addition, the loaded power factor and reduction in network reactive power loss are spotted. The proposed methodology is agreed to challenge of loss sensitivity to decide the final sitting and size of the DGs. Two types of the DGs are studied and investigated. The proposed method is established and validated finished in distribution networks with different sizes and complexities. The DFOA methodology can efficiently produce highquality solutions compared to other competitive techniques such as Harmony Search (HS).