控制重构
云计算
分布式计算
计算机科学
GSM演进的增强数据速率
节点(物理)
功率(物理)
分布式发电
服务(商务)
工程类
嵌入式系统
电信
物理
结构工程
量子力学
操作系统
经济
经济
作者
Hongjun Gao,Wang Ma,Shuaijia He,Lingfeng Wang,Junyong Liu
标识
DOI:10.1109/tsg.2022.3156433
摘要
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.
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