Physics-Informed Machine Learning for Data Anomaly Detection, Classification, Localization, and Mitigation: A Review, Challenges, and Path Forward

no code implementations • 19 Sep 2023 • Mehdi Jabbari Zideh, Paroma Chatterjee, Anurag K. Srivastava

Advancements in digital automation for smart grids have led to the installation of measurement devices like phasor measurement units (PMUs), micro-PMUs ($\mu$-PMUs), and smart meters.

Anomaly Detection Physics-informed machine learning +1

Securely implementing and managing neighborhood solar with storage and peer to peer transactive energy

1 code implementation • 23 Feb 2023 • Steven Knudsen, Subir Majumder, Anurag K. Srivastava

The proposed infrastructure would (i) increase the resilience of the customers in case the utility grid becomes unavailable, (ii) reduce AC/DC conversion losses since a majority of the DER generation is in DC, and (iii) with the help of BESS, the customers will have a lesser impact on the utility grid in terms of California 'duck curve.'

Reinforcement Learning based Proactive Control for Transmission Grid Resilience to Wildfire

no code implementations • 12 Jul 2021 • Salah U. Kadir, Subir Majumder, Ajay D. Chhokra, Abhishek Dubey, Himanshu Neema, Aron Laszka, Anurag K. Srivastava

We model and solve the proactive control problem as a Markov decision process and introduce an integrated testbed for spatio-temporal wildfire propagation and proactive power-system operation.

Decision Making reinforcement-learning +1