8 citations · 11 across the 8 of their papers we have counts for
9 papers
Distributed HVDC Emergency Power Control; case study Nordic Power System
Danilo Obradovic, Mehrdad Ghandhari, Robert Eriksson
Frequency Containment Reserves might be insufficient to provide an appropriate response in the presence of large disturbances and low inertia scenarios. As a solution, this work as…
Estimating the Future Need of Balancing Power Based on Long-Term Power System Market Simulations
Henrik Nordström, Lennart Söder, Robert Eriksson
With increasing penetration of variable renewable energy sources (vRES) and a higher rate of electrification in the society, there will be future challenges in maintaining a contin…
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…
Market Integration of HVDC Lines: Cost Savings from Loss Allocation and Redispatching
Andrea Tosatto, Matas Dijokas, Danilo Obradovic +7
In the Nordic region, many interconnectors are formed by HVDC links, as Scandinavia, Continental Europe and the Baltic region are non-synchronous AC systems. This paper presents tw…
Sharing Reserves through HVDC: Potential Cost Savings in the Nordic Countries
Andrea Tosatto, Matas Dijokas, Tilman Weckesser +2
During summer 2018, the Nordic system's kinetic energy dropped below a critical level. As a consequence, Svenska kraftnät, the Swedish transmission system operator (TSO), requested…
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…
Efficient Database Generation for Data-driven Security Assessment of Power Systems
Florian Thams, Andreas Venzke, Robert Eriksson +1
Power system security assessment methods require large datasets of operating points to train or test their performance. As historical data often contain limited number of abnormal…
Optimal Dynamic Capacity Allocation of HVDC Interconnections for Cross-border Exchange of Balancing Services in Presence of Uncertainty - Extended Version
Stefanos Delikaraoglou, Pierre Pinson, Robert Eriksson +1
Considering that the existing setup of the European electricity markets promotes the spatial coordination of neighbouring power systems only on the day-ahead market stage, regional…