Reconfiguration of active distribution networks as a means to address generation and consumption dynamic variability

The integration of alternative energy sources, storage systems, and modern loads into the distribution grid is complicating its operation and maintenance. Variability in individual generation and consumption elements dynamically affects voltage profiles, which in turn undermines efficiency and power quality. This study proposes to address this dynamical variability using an online reconfiguration approach that involves opening and closing switches to modify the grid's topology and adjust voltage levels in response to load/generation variations. Other grid optimization techniques, based on reconfiguration, typically focus on static, fully instrumented grids with predictable parameters and homogeneous changes, aiming to minimize power losses but overlooking the dynamics of variable grid elements. This study proposes a testing approach that is dependent on the estimated transient status of the grid only using a limited number of measurement units and considering the individual-stochastic variations of loads and generators. The proposed approach was tested on the IEEE 33-bus test feeder with up to five varying distributed generators. The results confirm that the algorithm consistently finds a reconfiguration alternative that could enhance system efficiency and voltage profiles, even in the face of dynamic load/generator behavior, demonstrating its effectiveness and online adaptability for grid operation and management tasks. Real-time variability in distributed generation and consumption challenges voltage profiles and distribution grid efficiency. This study proposes an online reconfiguration approach, adjusting the grid topology in response to variations using a limited number of available measurement units. Unlike conventional methods, this approach adapts to real-time changes, demonstrably improving efficiency and voltage profiles on the IEEE 33-bus test feeder. image