Distribution Network Scheduling with Distributed Energy Resources Based on Power Scenarios

Abstract

With the development of distributed energy resources (DER) in distribution network, system operations such as peak shaving and voltage stability face more challenges. Battery energy storage (BES) has been widely accepted as the most potential application to cope with the challenge of high penetration of DER. To cope with the uncertainties and variability of DER, a stochastic distribution network scheduling method is proposed. The overall economy is achieved by fully considering the cell degradation, DER, electricity purchasing and active power losses. DER power scenarios are generated to consider the uncertainties and correlations based on the Copula theory. Finally, numerical studies for the day-ahead distribution network scheduling in the IEEE 123-node test feeder are presented to demonstrate the merits of the proposed method. Results show that the problems caused by DER are greatly alleviated by capturing the uncertainties and correlations.