Cyber-Physical Interdependent Restoration Scheduling for Active Distribution Network via Ad Hoc Wireless Communication
Cyber-Physical Interdependent Restoration Scheduling for Active Distribution Network via Ad Hoc Wireless Communication
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DOI：
10.1109/tsg.2023.3244785
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发表时间：
2022-11
影响因子：
9.6
通讯作者：
Chongyu Wang;Mingyu Yan;Kaiyuan Pang;F. Wen;Fei Teng
中科院分区：
文献类型：
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作者：
Chongyu Wang;Mingyu Yan;Kaiyuan Pang;F. Wen;Fei Teng
本文提出了一种考虑网络和物理网络同时损坏的有源配电网灾后网络-物理相互依赖恢复调度框架。首次利用自组织无线设备对设备（D2D）通信，在灾难发生后立即建立网络，以支持ADN恢复。在信息物理交互作用下，修运人员调度、远程控制网络重构和带DERs的系统运行能够得到有效协调。用预算约束多面体不确定性集来表示可再生能源的不确定性产出。通过在析取表达式上实现线性化技术，建立了基于单片混合整数线性规划（MILP）的两阶段鲁棒优化模型，并用定制的列约束生成（C&CG）算法求解该模型。在IEEE 123节点配电系统上的仿真结果表明了该方法的有效性和优越性。
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.