智能电网
网格
弹性(材料科学)
计算机科学
需求响应
电力系统
形势意识
响应时间
分布式计算
可靠性工程
数学优化
功率(物理)
拓扑(电路)
工程类
数学
电气工程
电
航空航天工程
计算机图形学(图像)
物理
热力学
量子力学
几何学
作者
Gang Huang,Jianhui Wang,Chen Chen,Junjian Qi,Chuangxin Guo
标识
DOI:10.1109/tpwrs.2017.2685640
摘要
Boosting the resilience of power systems is one of the core requirements of smart grid. In this paper, an integrated resilience response framework is proposed, which not only links the situational awareness with resilience enhancement, but also provides effective and efficient responses in both preventive and emergency states. The core of the proposed framework is a two-stage robust mixed-integer optimization model, whose mathematical formulation is presented in this paper as well. To solve the above model, an algorithm based on the nested column-and-constraint generation decomposition is provided, and computational efficiency improvement techniques are proposed. Preventive response in this paper considers generator re-dispatch and topology switching, while emergency response includes generator re-dispatch, topology switching and load shedding. Several numerical simulations validate the effectiveness of the proposed framework and the efficiency of the solution methodology. Key findings include the following: 1) in terms of enhancing power grid resilience, the integrated resilience response is preferable to both independent preventive response and independent emergency response; 2) the power grid resilience could be further enhanced by utilizing topology switching in the integrated resilience response.
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