Risk-Based Power System Resilience Assessment Considering the Impacts of Hurricanes

被引：1

作者：

Pan, Aiqiang ^{[1
]}

Fang, Xiaotao ^{[2
]}

Yan, Zheng ^{[1
,2
]}

Dong, Zhen

Xu, Xiaoyuan ^{[2
]}

Wang, Han ^{[2
]}

机构：

[1] State Grid Shanghai Municipal Elect Power Co, Shanghai, Peoples R China

[2] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai, Peoples R China

来源：

2022 IEEE/IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA (I&CPS ASIA 2022) | 2022年

关键词：

Hurricane; Latin Hypercube Sampling; probabilistic load flow; resilience assessment; transmission line outage;

D O I：

10.1109/ICPSAsia55496.2022.9949709

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In this paper, a novel method is proposed to assess the power system resilience considering the impacts of hurricanes. Firstly, the transmission line outage model correlated to wind speed is developed. Then, Probability Load Flow (PLF) considering the random outage of lines and the variation of loads is designed, and Latin Hypercube Sampling (LHS) is used to improve the efficiency of Monte Carlo Simulation (MCS) in solving PLF. Moreover, risk indices, including line overloading, node voltage exceeding limit, load shedding and system collapse, are established to assess the resilience of power systems during hurricanes. The method is tested with a modified IEEE 14-bus system, and simulation results indicate the effectiveness of the proposed approach.

引用

页码：1714 / 1718

页数：5

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