Maximizing DG penetration in distribution networks by means of GA based reconfiguration

The Distributed Generation (DG) capacity will increase considerably in the future distribution networks, involving more and more complex control systems able to integrate DG supervision and control into network control schemes. This paper proposes a reconfiguration methodology based on a Genetic Algorithm (GA), that aims at achieving the maximum DG penetration, while observing thermal and voltage constraints. The proposed methodology has been tested on a 33-bus system with DG units. Simulation results demonstrated its effectiveness in increasing both individual and overall DG penetration allowing to exploit network capability. The methodology can assist Distribution System Operators (DSOs) in planning and managing DG connections and in maximizing the total GD penetration and renewable sources exploitation.