Microgrid-Based Smart Grids: Artificial Intelligence and Internet of Things for Improved Resilience/Self-Healing

In this presentation, first, a brief history of the production and evolution of electricity will be presented, then an overview of our body of work on the application of artificial intelligence (AI)-based control techniques and Internet of things (IoT) for control and management of microgrids (MGs), which are considered the cornerstone of smart distribution grid, will be presented.

In general, MG power management is a multi-objective problem and may not have a single solution, and it is hard to solve with conventional analytic techniques. Multi-agent systems and bargaining games between the smart agents is presented to obtain a set of trade-off solutions (called Pareto-frontier), and the application of Nash bargaining solution (NBS) is used to directly obtain the “best trade-off solution” on the Pareto-frontier. In addition, an MG-based distribution system architecture for enhancing resilience and self-healing of distribution systems will be presented.

Speaker: Hashem Nehrir, Montana State University, Emeritus

Attend in person or online (see weblink for Zoom information)

This talk was originally scheduled for September 19, 2024