Two-Stage Distributionally Robust Voltage Regulation of Active Distribution Network with Hybrid Energy Storage

Abstract

Due to inherent volatility and intermittence, the increasing penetration of distributed renewable energies brings significant voltage deviation problem in active distribution network. In this paper, a novel two-stage distributionally robust optimization (TSDRO) strategy of hybrid energy storage systems is proposed for voltage regulation in active distribution network. The prediction errors of distributed renewable generation with different time-scales are considered in constructing Wasserstein ambiguity sets. In the first stage, distributed battery energy storage systems are scheduled day-ahead in distributionally robust optimization with chance constraints. In the second stage, model predictive control is utilized to roll optimize the intraday charging/discharging strategy of the supercapacitor energy storage systems. The simulation results show the effectiveness of the proposed TSDRO strategy.