Multi-timescale active distribution network optimal scheduling considering temporal-spatial reserve coordination

Abstract

To improve the self-adjusting ability of the distribution network and reduce the impact of fluctuated power on the upstream transmission network, a multi-timescale active distribution network (ADN) scheduling method, which includes a reserve coordination strategy and a scheduling framework, is proposed in this paper. The reserve coordination strategy can schedule available reserve resources according to their temporal-spatial characteristics, and the scheduling framework further uses the reserve margin as feedback signals and optimizes resources in both the transmission and distribution network under different timescale. In the day-ahead stage, reserve provided by transmission network and operation of slow-response resources are optimized based on the day-ahead forecast. In the intraday stage, the reserve and output of remaining distributed energy resources (DERs) in the distribution network are updated according to the renewed forecast with more accuracy. In the real-time stage, combining with the model predictive control (MPC), deviations from the dispatched results are minimized to adjust the output of DERs on a rolling basis. The temporal reserve coordination for day-ahead and intraday can reduce the real-time deviation, and the spatial reserve coordination for transmission and distribution network can minimize the impact of power fluctuations on the upstream transmission. Case study on an IEEE 33-bus system verified the effectiveness of the proposed method.