Eliminating Distribution Network Congestion Based on Spatial-Temporal Migration of Multiple Base Stations

Abstract

The integration of high proportions of distributed energy resources and the soaring development of 5G base stations (BSs) could lead to operational issues such as grid congestion in distribution networks. Meanwhile, 5G BSs can also serve as the flexible resources to support the distribution network. In this regard, this paper proposes a novel method to eliminate distribution network congestion with spatial-temporal migration of multiple base stations (BSs). First, the collaborative structure of the distribution network operator (DNO) and mobile network operator (MNO) is presented and the event-driven congestion management framework of the distribution network with multiple BSs is illustrated. Secondly, the specific spatial-temporal migration models of multiple BSs are established, which contain traffic migration, BS sleeping, and dispatchable capacity of the BS backup energy storage system. Then, the event-driven adaptive congestion management model is proposed, which includes congestion detection, congestion response and elimination model, and the step-wise algorithm of the congestion response is proposed. Finally, the modified IEEE 33-node and IEEE 123-node distribution system are adopted for case studies, from numerical analysis we can draw that, the proposed congestion management method can alleviate the congestion issue of the distribution network effectively while reducing costs of both DNO and MNO.