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Sensitivity analysis of smart grids reliability due to indirect cyber-power interdependencies under various DG technologies, DG penetrations, and operation times

机译:在各种DG技术,DG穿透和运行时间下,由于间接的网络电源相互依赖性而导致的智能电网可靠性敏感性分析

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The cyber failures such as failures in protection and monitoring systems will not stop the operation or change the behavior of the power system instantly but will adversely affect the performance of the power system against the potential failure. Such indirect cyber-power interdependencies (ICPIs) may either intensify the probability of future failures or postpone the repercussion to the present failure of the power elements. The much less effort has been devoted in literature to investigate the ICPIs impacts, particularly in stochastic simulating space. In this paper, a novel stochastic-based reliability evaluation method which considers the ICPIs impacts under various uncertain parameters is proposed. The consideration of uncertainty regarding the renewable distributed generation (DG) units, consumption patterns, power and cyber elements, and ICPIs is one of the most important contributions of the proposed method. Further, a novel stochastic-based state upgrading is introduced to concern the ICPIs of protection and monitoring systems. By using the proposed state upgrading methodology, it is possible to evaluate the reliability of smart grid based on ICPIs by using conventional reliability evaluation methods.
机译:诸如保护和监视系统故障之类的网络故障不会立即停止运行或更改电源系统的行为,但是会对潜在故障的电源系统性能产生不利影响。这种间接的网络电源相互依赖关系(ICPI)可能会加剧未来发生故障的可能性,也可能会推迟对电源组件当前发生故障的影响。文献投入较少的精力来研究ICPI的影响,特别是在随机模拟空间方面。本文提出了一种新的基于随机性的可靠性评估方法,该方法考虑了ICPI在各种不确定参数下的影响。对可再生分布式发电(DG)单位,消费模式,电力和网络元素以及ICPI的不确定性的考虑是所提出方法最重要的贡献之一。此外,引入了一种新的基于随机的状态升级,以关注保护和监视系统的ICPI。通过使用提出的状态升级方法,可以使用常规的可靠性评估方法来基于ICPI评估智能电网的可靠性。

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