Open AccessProactive repair crew deployment to improve transmission system resilience against hurricanes
Author(s) -
Bian Yiheng,
Bie Zhaohong,
Li Gengfeng
Publication year - 2021
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/gtd2.12065
Subject(s) - crew , software deployment , resilience (materials science) , reliability engineering , computer science , electric power system , blackout , transmission system , transmission (telecommunications) , power transmission , operations research , engineering , power (physics) , aeronautics , quantum mechanics , telecommunications , physics , thermodynamics , operating system
Extreme weather events, such as hurricanes, impose severe impacts on power systems. A rapid repair for power systems is desired after hurricanes pass to mitigate load‐shedding losses. This study proposes a proactive repair crew deployment model to prepare for post‐disaster repair and restoration. A two‐stage stochastic optimisation framework is designed. In the first stage, the repair crews are allocated to candidate locations ahead of a hurricane. In the second stage, the repair dispatch and load restoration are implemented under several damage scenarios to support the first‐stage decision‐making. A novel repair crew routing method is proposed which considers repair crew cooperation on important damaged components to enable earlier restoration of critical load. A linear‐programming approximation of AC power flow is applied to model the restoration of the transmission system in which the generator start‐up characters and security constraints are incorporated. A scenario‐based decomposition algorithm is applied to solve the stochastic problem and a preprocessing method to identify necessary components is proposed to further reduce computation time. Case studies validate the effectiveness of the proposed model in improving transmission system resilience.