Stochastic pre‐disaster planning and post‐disaster restoration to enhance distribution system resilience during typhoons

In recent years, extreme weather events, such as typhoons, have led to large‐scale power outages in distribution systems. As a result, developing strategies to bolster distribution system resilience has become imperative. This paper proposes a two‐stage stochastic programming model aimed at enhancin...

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Bibliographic Details
Published in:Energy conversion and economics 2023-10, Vol.4 (5), p.346-363
Main Authors: Hou, Hui, Tang, Junyi, Zhang, Zhiwei, Wu, Xixiu, Wei, Ruizeng, Wang, Lei, He, Huan
Format: Article
Language:English
Subjects:
Crews
Disaster recovery
Disasters
distribution system
Electric power distribution
Electricity distribution
Emergency preparedness
Extreme values
Generators
Hurricanes
Linear programming
Load shedding
mobile emergency generators
Monte Carlo simulation
Outages
Power failures
Power supply
Probability
Reconfiguration
repair crews
Resilience
Stochastic models
Stochastic programming
transportation network
Transportation networks
Typhoons
wind field model
Wind speed
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Summary:In recent years, extreme weather events, such as typhoons, have led to large‐scale power outages in distribution systems. As a result, developing strategies to bolster distribution system resilience has become imperative. This paper proposes a two‐stage stochastic programming model aimed at enhancing this resilience. Prior to a typhoon, the first stage establishes a comprehensive wind field model based on extreme value distribution for accurate wind speed predictions. Simultaneously, a refined stress–strength interference model is used to determine the likelihood of distribution line failures. Taking into account the uncertainty of line damage, repair crews and mobile emergency generators are then strategically positioned at staging depots. Following the typhoon, the second stage coordinates network reconfiguration, dispatches repair crews, and mobilizes mobile emergency generators to minimize load shedding and expedite repairs. This model was validated on the IEEE 33‐bus distribution system, coupled with a corresponding transportation network, utilizing data from the 2018 super typhoon Mangkhut'' in China. Simulations indicate that our approach can effectively reduce load shedding and power outage durations, thereby enhancing the resilience of distribution systems.
ISSN:2634-1581
2634-1581
DOI:10.1049/enc2.12098