Robust Network Hardening Strategy for Enhancing Resilience of Integrated Electricity and Natural Gas Distribution Systems Against Natural Disasters
Robust Network Hardening Strategy for Enhancing Resilience of Integrated Electricity and Natural Gas Distribution Systems Against Natural Disasters
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DOI：
10.1109/tpwrs.2018.2820383
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发表时间：
2018-03
影响因子：
6.6
通讯作者：
Chuan He;Chenxi Dai;Lei Wu;Tianqi Liu
中科院分区：
文献类型：
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作者：
Chuan He;Chenxi Dai;Lei Wu;Tianqi Liu
最近电力分配部门的革命，特别是燃气分布式发电（dg）的深入渗透，加剧了电力对天然气分配系统的依赖。这种电力和天然气综合配电系统面临着频繁发生的自然灾害带来的巨大经济损失的重大威胁。网络加固被认为是增强终端系统抵御自然灾害的有效技术。考虑硬化预算限制和不同严重程度灾害造成的随机损害，提出了一种基于三层鲁棒优化的网络硬化模型，以最小化iends最坏情况下的总加权电力和天然气负荷下降。具体而言，考虑架空电力线路和地下输气管道的不同故障概率，并将dg和储气库建模为灾害期间提供高优先级电/气负荷的有效应急响应资源。该模型采用柱约束生成方法求解，其中非线性气体网络约束通过泰勒级数展开进行线性化。数值实例研究评估了所提出的针对自然灾害的鲁棒强化策略。
Recent revolution of the electricity distribution sector, especially a deeper penetration of gas-fired distributed generations (DGs), intensifies the interdependence of electricity on natural gas distribution systems. Such integrated electricity and natural gas distribution systems (IENDS) are facing with significant threats from frequent natural disasters that cause enormous economic losses. Network hardening is regarded as an effective technique for enhancing resilience of IENDSs against natural disasters. This paper presents a trilevel robust optimization-based network hardening model for minimizing worst-case total weighted electricity and gas load shedding of IENDSs with respect to hardening budget limits and random damages caused by disasters of different severity levels. Specifically, distinct failure probabilities of overhead power lines and underground gas pipelines are considered, while DGs and gas storages are modeled as effective emergency response resources for supplying high-priority electricity/gas loads during disasters. The proposed model is solved by a column-and-constraint generation approach, in which nonlinear gas network constraints are linearized via Taylor series expansion. Numerical case studies evaluate the proposed robust hardening strategy against natural disasters.