A Multi-Time Scale Energy Management Method for Active Distribution Networks with Multiple Terminal Soft Open Point

This paper proposed a multi-time scale robust energy management method for active distribution networks with the multiple terminal soft open point where the active distribution network and microgrids belonged to different ownerships. In the day-ahead
Stackelberg game model, the time-of-use price and active power exchange plan between the active distribution network and microgrids were optimized under power flow constraints to balance economic benefits of all participants. Then a reactive power re-optimization model was established to minimize system voltage deviation under the tolerant cost constraint by utilizing residual capacity of voltage source converters. In the intraday model, considering the fluctuations of actual power exchange of microgrids,  V² - P and V² - Q droop control mode was implemented in the soft open point, and a slope robust optimization model was established to improve system robust security within the uncertainty set. Case studies show that the proposed method can efficiently utilize the flexible power flow regulation capability of the multiple terminal soft open point, and improve both economic benefits and reliability of the system.