Robust Optimization of Active Distribution Networks Considering the Flexible Regulation Potential of Microgrids

Abstract

A robust optimization method for ADN （active distribution network） based on the flexible regulation capability of MG （microgrid） is proposed given the coordinated dispatching of uncertain ADN and MG with large-scale distributed new energies integrated. A flexible regulation model of distributed energy resources such as PV， energy storage， gas turbine and flexible load is established， and the flexible regulation capability of MG is described on the basis of robust optimization. An MG-ADN interaction method is proposed， and the influence of uncertainty and flexible regulation capability of MG on ADN is analyzed. Moreover， the robust optimization dispatching of AND is implemented based on the second-order cone relaxation. An ADN-MG iterative method based on flexible resource price regulation is designed， and the model is solved using a C&CG （column-and-constraint generation algorithm）. Simulation experiments based on the improved IEEE 33-node power distribution system show that the proposed strategy can effectively tap the flexible regulation resources within MG and enhance the robust optimization effect at the ADN level.

Keywords

• active distribution network
• robust optimization
• flexible regulation
• coordinated dispatching