Enhancing power distribution network operational resilience to extreme wind events
Enhancing power distribution network operational resilience to extreme wind events
复制标题
增强配电网络对极端风事件的运营弹性
DOI：
10.1002/met.2127
复制
发表时间：
2023
影响因子：
2.7
通讯作者：
Donaldson D
中科院分区：
文献类型：
--
作者：
Donaldson D
极端天气事件会对配电网络基础设施造成重大破坏，经常导致停电。配电网络运营商（DNO）面临着在保持弹性电网的同时真实的响应这些中断的挑战性任务。我们的论文提出了一种创新的方法，通过归一化的脆弱性曲线来提醒运营商与即将到来的极端天气相关的潜在风险。该曲线的独特性在于能够捕捉DNO领土上的区域差异，同时为运营商提供设置统一风险阈值的方法。这可以支持主动应对，并允许安排必要的资源，以尽量减少此类事件造成的威胁。我们的方法捕获了与不同风况相关的故障概率的变化，并证明了次区域气象信息的好处。所提出的方法证明了风事件使用20年的历史故障记录从DNO在英国（UK）。虽然它的有效性在英国的风暴中得到了证明，但这种方法可以在全球范围内应用，为其他类型的季节性极端天气事件（如暴风雪，飓风或野火等相关危害）制定标准化的脆弱性曲线。该方法还可以促进了解基础设施在未来气候条件下如何运作，支持积极主动的适应。
Extreme weather events can cause significant damage to power distribution network infrastructure, often resulting in power outages. Distribution Network Operators (DNOs) are faced with the challenging task of responding to these outages in real time while maintaining a resilient grid. Our paper presents an innovative approach to alert operators about the potential risk associated with upcoming extreme weather through a normalized fragility curve. The uniqueness of the curve is the ability to capture regional differences across a DNO's territory while presenting operators with a means of setting unified risk thresholds. This can support a proactive response and allow the staging of necessary resources to minimize the threat posed by such events. Our approach captures the changes in failure probability associated with differing wind regimes and demonstrates the benefit of sub‐regional meteorological information. The proposed approach is demonstrated for wind events using 20 years of historical fault records from a DNO in the United Kingdom (UK). While its efficacy is demonstrated for windstorms in the UK, the approach could be applied globally to develop normalized fragility curves for other types of seasonal extreme weather events such as snowstorms, hurricanes, or linked hazards such as wildfires. The approach can also facilitate an understanding of how infrastructure may operate under future climate conditions, supporting proactive adaptation.
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影响因子：
2.7
作者：
S. Dunn;S. Wilkinson;David Alderson;H. Fowler;C. Galasso
通讯作者：
S. Dunn;S. Wilkinson;David Alderson;H. Fowler;C. Galasso
影响因子：
5.5
作者：
Seong-Hoon Jeong;A. Elnashai
通讯作者：
Seong-Hoon Jeong;A. Elnashai
天气事件对美国电力输送系统的主要影响
DOI：
--
发表时间：
2021
期刊：
影响因子：
--
作者：
Stephen A. Shield;S. Quiring;J. V. Pino;Ken Buckstaff
通讯作者：
Ken Buckstaff
影响因子：
6.6
作者：
M. Panteli;C. Pickering;S. Wilkinson;R. Dawson;P. Mancarella
通讯作者：
M. Panteli;C. Pickering;S. Wilkinson;R. Dawson;P. Mancarella
影响因子：
6.6
作者：
Tomas Lagos;R. Moreno;Alejandro Navarro Espinosa;M. Panteli;Rafael Sacaan;F. Ordóñez;H. Rudnick
通讯作者：
Tomas Lagos;R. Moreno;Alejandro Navarro Espinosa;M. Panteli;Rafael Sacaan;F. Ordóñez;H. Rudnick