Modeling Electrical Grid Resilience Under Hurricane Wind Conditions With Increased Solar and Wind Power Generation

被引：77

作者：

Watson, Eileen B. ^{[1
]}

Etemadi, Amir Hossein ^{[2
]}

机构：

[1] SAIC, Lorton, VA 22079 USA

[2] George Washington Univ, Sch Engn & Appl Sci, Washington, DC 20052 USA

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2020年 / 35卷 / 02期

关键词：

Fragility curves; hurricane; resilience; wind; solar; CYCLE COST-ANALYSIS; ADAPTATION;

D O I：

10.1109/TPWRS.2019.2942279

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper develops models for hurricane exposure, fragility curve-based damage to electrical transmission grid components and power generating stations using Monte-Carlo simulation, and restoration cost to predict resiliency factors including power generation capacity lost and the restoration cost for electrical transmission grid and power generation system damages. Synthetic grid data are used to model the Energy Reliability Council of Texas (ERCOT) electrical grid. A case study is developed based on Hurricane Harvey. This work is extended to evaluate the changes to resiliency as the percentage of renewable sources is increased from 2017 levels to levels corresponding to the NREL Futures Study 2050 Texas scenarios for 50% and 80% renewable energy.

引用

页码：929 / 937

页数：9