An Operational Resilience Metric for Modern Power Distribution Systems

An Operational Resilience Metric for Modern Power Distribution Systems
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DOI:
10.1109/qrs-c51114.2020.00065
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发表时间:
2020-12
期刊:
2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C)
影响因子:
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通讯作者:
T. Phillips;T. McJunkin;C. Rieger;J. Gardner;Hoda Mehrpouyan
T. Phillips;T. McJunkin;C. Rieger;J. Gardner;Hoda Mehrpouyan
中科院分区:
其他
文献类型:
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作者:
T. Phillips;T. McJunkin;C. Rieger;J. Gardner;Hoda Mehrpouyan

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电力系统是我国关键基础设施的支柱。它的设计是基于一组在正常操作条件下已被证明是可接受的可靠性指标,以承受单组件故障。然而,近年来极端天气事件越来越频繁。许多事故导致了大范围的长期停电,证明可靠性指标不能提供足够的能源安全。因此,研究人员将精力集中在弹性指标上,以确保电力系统在极端事件下的有效运行。弹性系统具有抵抗、适应和从中断中恢复的能力。因此,对于目前配电系统面临的挑战,弹性已被证明是一个有前途的概念。在这项工作中,我们提出了一个现代配电系统的运行弹性度量。该指标是基于系统资产在实功率和无功功率下的自适应能力的总和。这个度量给出了系统可以承受的扰动的大小和持续时间的信息。我们在一个案例研究中展示了在正常运行和微电网突发事件期间的弹性度量。在未来,这些信息可以被运营商用来根据系统弹性做出更明智的决策,以防止停电。
The electrical power system is the backbone of our nations critical infrastructure. It has been designed to withstand single component failures based on a set of reliability metrics which have proven acceptable during normal operating conditions. However, in recent years there has been an increasing frequency of extreme weather events. Many have resulted in widespread long-term power outages, proving reliability metrics do not provide adequate energy security. As a result, researchers have focused their efforts resilience metrics to ensure efficient operation of power systems during extreme events. A resilient system has the ability to resist, adapt, and recover from disruptions. Therefore, resilience has demonstrated itself as a promising concept for currently faced challenges in power distribution systems. In this work, we propose an operational resilience metric for modern power distribution systems. The metric is based on the aggregation of system assets adaptive capacity in real and reactive power. This metric gives information to the magnitude and duration of a disturbance the system can withstand. We demonstrate resilience metric in a case study under normal operation and during a power contingency on a microgrid. In the future, this information can be used by operators to make more informed decisions based on system resilience in an effort to prevent power outages.