Temporal assessment of operational resilience of transmission network and adaptation measures for a high-impact long duration cyclonic windstorm

IF 4.8 2区工程技术 Q2 ENERGY & FUELS Sustainable Energy Grids & Networks Pub Date : 2024-06-26 DOI:10.1016/j.segan.2024.101465

Abhishek Kumar Gupta, Kusum Verma

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Abstract

The exposure to High-Impact Low-Probability (HILP) events can have significant impact on the performance of transmission networks. Under such conditions, the power system components must be resilient and robust to meet the uninterrupted load demand. This paper proposes a quantitative framework for temporal assessment of operational resilience of transmission network and suggests suitable adaptation measures when the system is subjected to high impact cyclonic windstorm lasting for a long duration. The fragility curves of transmission lines are correlated with wind profiles during cyclone and failure probability each transmission line is determined using the Monte Carlo Simulation (MCS) The operational resilience of transmission networks is quantified by computing Total Transfer Capability (TTC), Available Transfer Capability (ATC), Existing Transmission Uses (ETU), Total Reliability Margin (TRM) and unserved load. To improve the operational resilience, adaptation measures with modifications in the robustness of the structural strength is proposed and investigated on standard IEEE 57 bus system and IEEE 118 bus system. Sensitivity analysis is performed to understand how changes in the percentage increase of robustness affect the overall system performance. The findings give valuable insights for evaluating the operational resilience of transmission line infrastructure during such extreme weather events.

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输电网络运行恢复能力的时间评估以及针对高影响、持续时间长的气旋风暴的适应措施

高影响低概率（HILP）事件会对输电网络的性能产生重大影响。在这种情况下，电力系统组件必须具有弹性和稳健性，以满足不间断的负荷需求。本文提出了一个定量框架，用于对输电网络的运行恢复能力进行时间评估，并建议在系统遭受持续时间较长的高影响气旋风暴时采取适当的适应措施。通过计算总传输能力 (TTC)、可用传输能力 (ATC)、现有传输用途 (ETU)、总可靠性边际 (TRM) 和未服务负荷，对输电网络的运行恢复能力进行量化。为提高运行恢复能力，提出了修改结构强度的适应措施，并在标准 IEEE 57 总线系统和 IEEE 118 总线系统上进行了研究。进行了灵敏度分析，以了解鲁棒性百分比增加的变化对整个系统性能的影响。研究结果为评估输电线路基础设施在此类极端天气事件中的运行恢复能力提供了有价值的见解。

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来源期刊

Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology

CiteScore

7.90

自引率

13.00%

发文量

206

审稿时长

49 days

期刊介绍： Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.