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Damage Propagation from Component Level to System Level in the Electricity Sector

机译:电力部门从组件级别到系统级别的损害传播

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In the aftermath of an earthquake, the electric power supply system may have a reduced ability to maintain its intended function, leading to service disruptions of other interdependent facilities until the electricity sector gets restored. In order to analyze such extra functionality losses, the authors have developed an agent-based inoperability input-output model with a focus on damage propagation from a component level to a system level in the electricity sector. In addition, this research presents the probabilistic matrix for the quantification of correlation coefficients between two connected electricity sector components (e.g.,power generator and deliverer) and uses these coefficients to identify critical components from a perspective of the network's reliability. The developed model thus allows us to understand how a degradation of component affects the functionality of the whole electricity sector. To demonstrate the model's analytic capability, this research conducted case simulations using the data from 2011 Tohoku earthquake. The simulation results show that the impact of seismic damage in a network is generally underestimated because there is unforeseen damage propagation from the component to the system level. Moreover, the results demonstrate that demand-side efforts to conserve electricity usage and restoration priority setting in accordance with component criticality are crucial to ensure community resilience in case of disaster.
机译:地震后,电力供应系统维护其预定功能的能力可能会降低,从而导致其他相互依赖的设施的服务中断,直到电力部门恢复正常。为了分析此类额外的功能损失,作者开发了基于代理的不可操作性输入-输出模型,重点关注电力部门中从组件级别到系统级别的损害传播。此外,这项研究提出了概率矩阵,用于量化两个相连的电力部门组件(例如发电机和输电设备)之间的相关系数,并使用这些系数从网络的可靠性角度识别关键组件。因此,开发的模型使我们能够了解组件的退化如何影响整个电力部门的功能。为了证明该模型的分析能力,本研究使用了2011年东北地震的数据进行了案例模拟。仿真结果表明,通常会低估网络中地震破坏的影响,因为存在无法预测的从组件到系统级的破坏传播。此外,结果表明,需求侧为节省用电和根据组件的关键性确定恢复优先级而做出的努力对于确保灾难发生时社区的复原力至关重要。

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