Using Utility Outage Statistics to Quantify Improvements in Bulk Power System Resilience
Using Utility Outage Statistics to Quantify Improvements in Bulk Power System Resilience
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DOI：
10.1016/j.epsr.2020.106676
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发表时间：
2020-12-01
影响因子：
3.9
通讯作者：
Dobson, Ian
中科院分区：
文献类型：
--
作者：
Kelly-Gorham, Molly Rose;Hines, Paul D. H.;Dobson, Ian
CRISP是一种由公用事业数据驱动的新的高级统计方法，用于量化电力传输网络的弹性。我们扩展CRISP模型的能量存储，photopolyics，和发电机停电，占空间分布的级联停电，并优化恢复过程。说明性的结果表明，CRISP可以测量的组合的能量存储和photochemics对电力系统的弹性影响。
CRISP is a new high-level statistical approach driven by utility data to quantify resilience in electric power transmission networks. We extend CRISP to model energy storage, photovoltaics, and generator outages, to account for the spatial spread of cascading outages, and to optimize the restoration process. Illustrative results show how CRISP can measure the resilience impact of combinations of energy storage and photovoltaics on a power system.