Assessing grid hardening strategies to improve power system performance during storms using a hybrid mechanistic-machine learning outage prediction model
Improvements of power system performance during severe weather events are targeted
through grid hardening actions, such as strengthening aging infrastructure or performing …
through grid hardening actions, such as strengthening aging infrastructure or performing …
Non-Parametric Machine Learning Modeling of Tree-Caused Power Outage Risk to Overhead Distribution Powerlines
Trees in proximity to power lines can cause significant damage to utility infrastructure during
storms, leading to substantial economic and societal costs. This study investigated the …
storms, leading to substantial economic and societal costs. This study investigated the …
Transmission Failure Prediction using AI and Structural Modeling Informed by Distribution Outages
Understanding and quantifying the impact of severe weather events on the electric
transmission and distribution system is crucial for ensuring its resiliency in the context of the …
transmission and distribution system is crucial for ensuring its resiliency in the context of the …
A Probabilistic Method for Integrating Physics-Based and Data-Driven Storm Outage Prediction Models for Power Systems
To predict power outages for upcoming storm events and assess the resilience of power
systems, accurate models of power outage probabilities are necessary. Although physics …
systems, accurate models of power outage probabilities are necessary. Although physics …
Sensitivity Analysis of Machine Learning Algorithms for Outage Risk Prediction
Severe weather conditions are known for causing forced outages in the electric distribution
grid. Recent research efforts were aimed at predicting outages using weather and historical …
grid. Recent research efforts were aimed at predicting outages using weather and historical …
A Machine Learning System for Predicting Severity Under Single Transmission Line Outages
The electric power system requires a deep comprehension of possible dangers and effective
mitigation measures. Space-weather-caused single transmission line outages (STLO) …
mitigation measures. Space-weather-caused single transmission line outages (STLO) …
Research of Outage Duration Prediction Based on CNN-SVR Under Gray Wolf Optimization
Q Chengfei, L Yan, B Chaoran, Z Shi… - 2023 2nd Asia …, 2023 - ieeexplore.ieee.org
The outage duration prediction can improve utility decision-making practices and enhance
restoration management procedures for electric utilities. For the purpose of precise outage …
restoration management procedures for electric utilities. For the purpose of precise outage …
Substation flood control risk prediction based on improved neural network
K Chen, X Xia, Z Li - … on Energy System, Electricity, and Power …, 2024 - spiedigitallibrary.org
With the frequent extreme rainstorm and flood events at present, it is necessary to carry out
flood control transformation of substation in operation to avoid its damage by flood. By …
flood control transformation of substation in operation to avoid its damage by flood. By …
[PDF][PDF] Paper number 1185 Paper title Use of ML and AI for automated outage prediction and risk management for improved system resilience Study Committee SC B5 …
The power system operators, as well as asset and outage management personnel are now
experiencing significantly enlarged amount of data obtained through field measurements …
experiencing significantly enlarged amount of data obtained through field measurements …
Implementation of Probabilistic Risk Assessment in the Short-Term Operational Planning at the Swedish National Grid
S Axén - 2024 - diva-portal.org
Probabilistic Risk Assessment is a method in operational security management for power
systems which offers transmission system operators a framework to assess the probability …
systems which offers transmission system operators a framework to assess the probability …