2 citations · 2 across the 4 of their papers we have counts for
5 papers
A Decentralized Local Flexibility Market for Local Energy Communities to Mitigate Grid Congestion: A Case Study in Sweden
Maryam Mohiti, Mohammadreza Mazidi, David Steen +1
This paper proposes a preventive congestion management framework with joint Local Flexibility Capacity Market (LFCM) and Local Energy Markets (LEMs). The framework enables Local En…
Optimal Scheduling of Battery Storage Systems in the Swedish Multi-FCR Market Incorporating Battery Degradation and Technical Requirements
Nima Mirzaei Alavijeh, Rahmat Khezri, Mohammadreza Mazidi +2
This paper develops a novel mixed-integer linear programming (MILP) model for optimal participation of battery energy storage systems (BESSs) in the Swedish frequency containment r…
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…
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…
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…