Convex optimization model for Network Reconfiguration of Smart Grids

This study proposed a smart grid reconfiguration strategy that takes technical aspects into account. Convex optimization is used to answer the strategy. We find original quadratically constrained and second-order cone approximations to power flow in radial networks during the derivation of each model. Using standard commercial software, the proposed formulation guarantees global optimality with reliable and efficient outcomes. We use IEEE 33 and add DGs to model active distribution systems to evaluate the proposed method. The simulation findings show that the proposed method is capable of solving reconfiguration efficiently.