Network reconfiguration for renewable generation maximization: Application of a power-flow optimization algorithm on a distribution network in southern Sweden

Increasing the amount of renewable generation in distribution networks is a fundamental part of the energy transition. Multiple methods exist to increase the hosting capacity in a grid, to allow larger injections of generation and more efficiently utilize existing infrastructure before operational limits are breached. In this thesis, the method studied for this is network reconfiguration. Many distribution networks are built in a meshed structure but operated radially to allow the use of simple overcurrent protection. By closing and opening sectionalizing switches, new radial topologies can be found which enable a higher injection of distributed generation. In this work, optimal configurations for increased hosting capacity were found using a joint reconfiguration-optimal power flow algorithm. This was applied to a power flow model of a real 12 kV distribution network in southern Sweden, with 533 nodes and 45 tie switches. The results show that the reconfiguration optimization algorithm performs as intended and can be applied as decision support by a DSO to find new static, potentially overlooked, configurations. The relative increase in hosting capacity can be over 200% in certain scenarios, but large variations exist depending on time and location of the connections. To apply the algorithm in an automated and dynamic mode, robustness issues have to be addressed and grid adjustments made.