This paper presents a method for predicting power-grid failure rates in typhoons and water logs and suggests a strategy for improving network elasticity after the disaster. It is crucial for the
Based on the typhoon asymmetric wind field disaster model, a dual-layer architecture of distribution networks is proposed based on the improved normal constraint method to support multi-dimensional
This study analyzes the resilience model of power distribution networks based on the structural reliability concept. First, the load impact of conductors and towers is analyzed using a physical model of
The typhoon–rainstorm–flood disaster chain poses a significant flooding risk to urban distribution network (DN) equipment, often leading to power system outages. The increasing
Distribution line damage usually lasts for a long time. Hence, the core of resilience modeling work is to select fault scenarios with a high probability of occurring in the power distribution
Distribution system infrastructures are vulnerable to extreme weather events, such as hurricane, ice coating, flood, and wildfires. Resilience is a me
Pre-disaster reinforcement often uses physical means to improve defense, such as increasing distribution line/tower strength. Pre-disaster early warning is committed to establishing a
Among these extreme events, typhoons represent one of the most destructive hazards for distribution networks, with particularly significant impacts
The increasing prevalence of extreme weather events poses significant challenges to the stability of distribution networks (DNs). To enhance
Macao, like many coastal cities, is prone to typhoons, and the city has been using big data and AI to improve its disaster risk reduction (DRR) efforts. One example of the use of big data and AI
To address this limitation, this study proposes a pre-disaster resilience enhancement scheme for DCPS that integrates the temporal characteristics of typhoon evolution and cyber
Most studies focus on distribution networks (DNs) without considering the important coupling relationship between transportation networks (TNs) and DNs. This paper addresses this
Typhoon disasters can easily cause large-scale line failures in distribution networks, so it is crucial to formulate scientific reinforcement plans. This paper proposes a reinforcement strategy for distribution
Existing studies on enhancing pre-disaster resilience of distribution networks ignore the temporal characteristics of typhoon evolution and the system''s real-time response during disasters,
In order to improve the resilience of distribution networks against typhoon disasters, a differentiated reinforcement method for distribution networks based on an improved proximal policy
This paper proposes a scheme that utilizes microgrids and is based on demand response to enhance the resilience of distribution networks.
Abstract: The occurrence of high-impact low-probability (HILP) natural disasters such as typhoons poses a significant threat to the secure operation of transmission and distribution (T&D) network system.
Therefore, the utilities aim to develop optimization models that can enhance the resilience of distribution networks against typhoon disaster. In recent years, the concept of
The deployment of distribution network automation technology, which leverages the combined power of smart devices, communication networks, and automated control systems, enables continuous
Climate-related extreme weather events, such as typhoons and their consequent flooding and storm surges, exert significant pressure on electricity systems in these vulnerable regions,
By analysing the impact of the typhoon–rainstorm–flood disaster chain on the urban distribution network (DN), we propose a method for assessing outage risk before a typhoon makes
To improve the accuracy of typhoon-induced hazard intensity forecasting, an LSTM network enhanced with multi-scale attention (LSTM-MSA) is developed, which overcomes the deficiency of the
To enhance the distribution network resilience against typhoon attacks, this paper proposes a resilience-oriented two-stage robust optimization model, in which resilience-constrained
4.3 Distribution network outage risk analysis Based on the influencing factors shown in Figure 6, we analysed and quantified the distribution network (DN) outage risk under the
This paper mainly studies the influence of typhoon disaster on distribution network, and summarizes the research results of existing resilient distribution network in typhoon model, pre
At present, the prediction technology of distribution network loss under the influence of typhoon has been improved constantly and the result of high precision prediction has been obtained.
To enhance the resilience of cyber-physical distribution systems against typhoons, this paper proposes a resilience-oriented robust optimization model, in which planning-operational...
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