2 citations · 2 across the 2 of their papers we have counts for
3 papers
eess.SY2022★ 2 cited
Deep Reinforcement Learning for Long-Term Voltage Stability Control
Hannes Hagmar, Le Anh Tuan, Robert Eriksson
Deep reinforcement learning (DRL) is a machine learning-based method suited for complex and high-dimensional control problems. In this study, a real-time control system based on DR…
eess.SY2020
Comparison of security margin estimation methods under various load configurations
Hannes Hagmar, Robert Eriksson, Le Anh Tuan
The post-contingency loadability limit (PCLL) and the secure operating limit (SOL) are the two main approaches used in computing the security margins of an electric power system. W…
eess.SY2019
Voltage Instability Prediction Using a Deep Recurrent Neural Network
Hannes Hagmar, Lang Tong, Robert Eriksson +1
This paper develops a new method for voltage instability prediction using a recurrent neural network with long short-term memory. The method is aimed to be used as a supplementary…