信息物理系统
计算机科学
整数规划
无线自组网
线性规划
调度(生产过程)
分布式计算
需求响应
无线
计算机网络
数学优化
工程类
电
电信
电气工程
操作系统
数学
算法
作者
Chongyu Wang,Mingyu Yan,Kaiyuan Pang,Fushuan Wen,Fei Teng
标识
DOI:10.1109/tsg.2023.3244785
摘要
This paper proposes a post-disaster cyber-physical interdependent restoration scheduling (CPIRS) framework for active distribution networks (ADN) where the simultaneous damages on cyber and physical networks are considered. The ad hoc wireless device-to-device (D2D) communication is leveraged, for the first time, to establish cyber networks instantly after the disaster to support ADN restoration. The repair and operation crew dispatching, the remote-controlled network reconfiguration and the system operation with DERs can be effectively coordinated under the cyber-physical interactions. The uncertain outputs of renewable energy resources (RESs) are represented by budget-constrained polyhedral uncertainty sets. Through implementing linearization techniques on disjunctive expressions, a monolithic mixed-integer linear programming (MILP) based two-stage robust optimization model is formulated and subsequently solved by a customized column-and-constraint generation (C&CG) algorithm. Numerical results on the IEEE 123-node distribution system demonstrate the effectiveness and superiorities of the proposed CPIRS method for ADN.
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