کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
974202 1480108 2017 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Network topology and resilience analysis of South Korean power grid
ترجمه فارسی عنوان
توپولوژی شبکه و تجزیه و تحلیل پایداری شبکه برق کره جنوبی
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات فیزیک ریاضی
چکیده انگلیسی


• Detailed information on power grid may produce highly-skewed degree distribution.
• Resilience of KPG is analyzed with multiple approaches including recovery.
• KPG is revealed as most vulnerable compared to ER and BA networks.

In this work, we present topological and resilience analyses of the South Korean power grid (KPG) with a broad voltage level. While topological analysis of KPG only with high-voltage infrastructure shows an exponential degree distribution, providing another empirical evidence of power grid topology, the inclusion of low voltage components generates a distribution with a larger variance and a smaller average degree. This result suggests that the topology of a power grid may converge to a highly skewed degree distribution if more low-voltage data is considered. Moreover, when compared to ER random and BA scale-free networks, the KPG has a lower efficiency and a higher clustering coefficient, implying that highly clustered structure does not necessarily guarantee a functional efficiency of a network. Error and attack tolerance analysis, evaluated with efficiency, indicate that the KPG is more vulnerable to random or degree-based attacks than betweenness-based intentional attack. Cascading failure analysis with recovery mechanism demonstrates that resilience of the network depends on both tolerance capacity and recovery initiation time. Also, when the two factors are fixed, the KPG is most vulnerable among the three networks. Based on our analysis, we propose that the topology of power grids should be designed so the loads are homogeneously distributed, or functional hubs and their neighbors have high tolerance capacity to enhance resilience.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica A: Statistical Mechanics and its Applications - Volume 465, 1 January 2017, Pages 13–24
نویسندگان
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