5 papers · 1 filter
Neural Network-Assisted Model Predictive Control for Implicit Balancing
Seyed Soroush Karimi Madahi, Kenneth Bruninx, Bert Claessens +1
In Europe, balance responsible parties can deliberately take out-of-balance positions to support transmission system operators (TSOs) in maintaining grid stability and earn profit,…
Herd Behavior in Decentralized Balancing Models: A Case Study in Belgium
Max Bruninx, Seyed Soroush Karimi Madahi, Timothy Verstraeten +3
In a decentralized balancing model, Balance Responsible Parties (BRPs) are encouraged by the Transmission System Operator (TSO) to deviate from their schedule to help the system re…
Model Predictive Control-Guided Reinforcement Learning for Implicit Balancing
Seyed Soroush Karimi Madahi, Kenneth Bruninx, Bert Claessens +1
In Europe, profit-seeking balance responsible parties can deviate in real time from their day-ahead nominations to assist transmission system operators in maintaining the supply-de…
Gaming Strategies in European Imbalance Settlement Mechanisms
Seyed Soroush Karimi Madahi, Kenneth Bruninx, Bert Claessens +1
Transmission System Operators (TSOs) rely on balancing energy provided by Balancing Service Providers (BSPs) to maintain the supply-demand balance in real time. Balance Responsible…
Predicting and Publishing Accurate Imbalance Prices Using Monte Carlo Tree Search
Fabio Pavirani, Jonas Van Gompel, Seyed Soroush Karimi Madahi +2
The growing reliance on renewable energy sources, particularly solar and wind, has introduced challenges due to their uncontrollable production. This complicates maintaining the el…