| Title | Risk-Based Power System Resilience Assessment Considering the Impacts of Hurricanes |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Pan, Aiqiang, Fang, Xiaotao, Yan, Zheng, Dong, Zhen, Xu, Xiaoyuan, Wang, Han |
| Conference Name | 2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) |
| Keywords | composability, CPS modeling, Hurricane, Hurricanes, Hypercubes, Latin Hypercube Sampling, load shedding, Metrics, power transmission lines, probabilistic load flow, pubcrawl, resilience, resilience assessment, Resiliency, simulation, transmission line outage, Voltage, Wind speed |
| Abstract | 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. |
| DOI | 10.1109/ICPSAsia55496.2022.9949709 |
| Citation Key | pan_risk-based_2022 |
Risk-Based Power System Resilience Assessment Considering the Impacts of Hurricanes