Abstract: To be adpaptable to the evolving role of distribution power networks from the passive power consumption to active power supply, a robust optimal scheduling strategy was proposed for active distribution networks based on centralized information system. The AC power flow model was used to describe the power balance of a distribution network accounting for the impact of adjustment of the reactive power injection. A two-stage joint energy and reserve scheduling model was built. The uncertainty set of the renewable power outputs was constructed by using the roboust optimization technique. The optimization problem of high dimension and nonconvexity was transformed into convex problem to ensure the optimal solution performance. Simulation results of a test system showed that a substantial increase of flexibility was achieved through the optimal dispatch of various resources. The proposed robust optimal schedule strategy could enhance the capability of active distribution networks to integrate intermittent renewable generation.

Key words: active distribution network, optimal dispatch, information system, convex relaxation, uncertainty, robust optimization