Category Archives: AI & ML seminar at RPI Sep. 29

Seminar at RPI on Power System Control with Machine Learning & Artificial Intelligence

August 2021

I want to thank Prof. Mona Mostafa Hella and Dr. Luigi Vanfretti, my friend and collaborator at the North American Synchrophasor Initiative (NASPI), for inviting me to offer a seminar at the Dept. of Electrical, Computer & Systems Engineering at the Rensselaer Polytechnic Institute on September 29th. I will review 2 of my works on generation control with machine learning (ML) and artificial intelligence (AI). I will start by discussing how to use top-down heuristically inducted binary decision trees of ML to actively control firm capacity by volatile resources operated (among others units) as a Virtual Power Plant. In the second part, I will present how voltage control can be modeled as a problem of classical mechanics physics; from there it can be solved as an AI implementation of the 2nd law of thermodynamics to redispatch active and reactive power generation. I plan to spark a discussion on conceiving new ML applications and AI models for power system operational control and monitoring.

The seminar will be virtual, but I will make myself available to all faculty, students & researchers of RPI, who would like us to talk before/after the seminar, so, please, do not hesitate to reach out!