整数规划
孤岛
数学优化
计算机科学
软件部署
线性规划
网络规划与设计
可靠性工程
分布式计算
工程类
分布式发电
计算机网络
算法
数学
操作系统
电气工程
可再生能源
作者
Chongyu Wang,Kaiyuan Pang,Mohammad Shahidehpour,Fushuan Wen,Shuyin Duan
标识
DOI:10.1109/tsg.2022.3224605
摘要
This paper proposes a two-stage method for the robust design of resilient active distribution networks (ADNs) against high-impact and low-probability (HILP) events. The line hardening and the deployment of remote-controlled switches (RCSs) are considered as two powerful measures for resilience enhancement. Especially, the hardening of tie lines and the deployment of bilateral tie switches are emphasized as part of the resilient design. A novel progressive detection mechanism (PDM) is devised to estimate the potential propagation of outages and identify surviving nodes outside of the minimum outage area after intentional islanding. The proposed PDM method considers potential RCS locations among regular lines and tie lines on outage to calculate the global optimal design scheme. The two-stage robust design model is formulated as a mixed-integer linear programming (MILP). The nested column-and-constraint generation (nested C&CG) algorithm is customized to solve the proposed model. Numerical results on a modified IEEE 33-node distribution system demonstrate the effectiveness and the superiority of the proposed resilience enhancement method.
科研通智能强力驱动
Strongly Powered by AbleSci AI