Congestion Management and Tariffs for Electric Distribution Networks

Two concurrent developments lead to challenges for electric distribution networks: On the demand side, there is an increase in the electrification of heating, transportation, and industrial processes, and on the supply side, there is significant growth in the capacity of intermittent electric generation based on wind and solar. Both of these...

Risk Aversion and Guided Exploration in Safety-Constrained Reinforcement Learning

In traditional reinforcement learning (RL) problems, agents can explore environments to learn optimal policies through trials and errors that are sometimes unsafe. However, unsafe interactions with environments are unacceptable in many safety-critical problems, for instance in robot navigation tasks. Even though RL agents can be trained in...

Anomaly Detection and Synthetic Data Generation for Power Systems Using Autoencoder Neural Networks

The scale of the power system has been significantly expanded in recent decades. To gain real-time insights into the power system, an increasing number of sensors have been deployed tomonitor grid states, resulting in a rapidly growing number of measurement points. Simultaneously, there has also been a rise in the penetration of renewable energy...