Monte Carlo-based Transmission and Subtransmission Recovery Simulation of Hurricanes

被引：0

作者：

Maloney, Patrick ^{[1
]}

Ke, Xinda ^{[1
]}

Mahapatra, Kaveri ^{[1
]}

Vasios, Orestis ^{[1
]}

Zhao, Meng ^{[1
]}

Fan, Xiaoyuan ^{[1
]}

Ceballos, Juan Carlos Bedoya ^{[1
]}

Li, Xue ^{[1
]}

Elizondo, Marcelo ^{[1
]}

机构：

[1] Pacific Northwest Natl Lab, Richland, WA 99352 USA

来源：

2023 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES LATIN AMERICA, ISGT-LA | 2023年

关键词：

power system recovery; Puerto Rico power grid; resilience; transmission; subtransmission;

D O I：

10.1109/ISGT-LA56058.2023.10328222

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

High-impact low-probability (HILP) events can wreak havoc on electric power systems without appropriate preparedness. In this paper, the recent development of a tool, named Recovery Simulator and Analysis (RSA), is described and demonstrated. While there are many issues to consider when recovering electric power systems, the focus of RSA is on the coordination of transmission and subtransmission recovery with generation dispatch to minimize unserved energy. RSA focuses on recovery simulation to evaluate resilience as part of a planning process. RSA is demonstrated on an approximately 1400-bus Puerto Rican power system for 100 simulated instances of Hurricane Maria. Analysis of the recovery determines how many lines are critical to the recovery and which loads may experience delayed recovery. The results demonstrate the potential uses of RSA for identifying recovery decisions with low unserved energy and for identifying assets critical to recovery which can then be hardened prior to a HILP event.

引用

页码：115 / 119

页数：5

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