Time-Segmented Multi-Level Reconfiguration in Distribution Network: A Novel Cloud-Edge Collaboration Framework
Hongjun Gao, Wang Ma, Shuaijia He, Lingfeng Wang, Junyong Liu
Abstract
Dynamic reconfiguration is an effective method to improve the unbalanced distribution of load demand. The traditional global dynamic reconfiguration based on the centralized cloud service system may lead to large-scale power flow regulation and increase the computational burden in large-scale distribution networks. In this letter, a time-segmented multi-level method preferring local reconfiguration is proposed to minimize the photovoltaic power generation curtailment and load shedding. Furthermore, a novel cloud-edge collaboration framework is devised to alleviate the huge pressure bought by excessive concentration of computational tasks. Numerical results on a 445-node system are presented to demonstrate the effectiveness of the proposed method.