On Statistical Modeling of Load in Systems with High Capacity Distributed Energy Resources

no code implementations • 22 Jul 2022 • Aaqib Peerzada, Miroslav Begovic, Wesam Rohouma, Robert S. Balog

The emergence of distributed energy resources has led to new challenges in the operation and planning of power networks.

PyProD: A Machine Learning-Friendly Platform for Protection Analytics in Distribution Systems

no code implementations • 13 Sep 2021 • Dongqi Wu, Dileep Kalathil, Miroslav Begovic, Le Xie

This paper introduces PyProD, a Python-based machine learning (ML)-compatible test-bed for evaluating the efficacy of protection schemes in electric distribution grids.

BIG-bench Machine Learning Decision Making

Deep Reinforcement Learning-BasedRobust Protection in DER-Rich Distribution Grids

no code implementations • 5 Mar 2020 • Dongqi Wu, Dileep Kalathil, Miroslav Begovic, Le Xie

This paper introduces the concept of Deep Reinforcement Learning based architecture for protective relay design in power distribution systems with many distributed energy resources (DERs).

reinforcement-learning Reinforcement Learning (RL)