This project is a collaboration between MIT and Lehigh University to include fundamental risk tools from economics to balance uncertain supply and demand in the electricity sector and improve adoption of renewable energy sources.

The main objective of this project is to formalize ground-breaking general principles in support of investment planning and operating protocols for the changing electric energy systems. This is crucial for assessing effects of candidate hardware and software technologies and for creating an environment in which flexible technologies are utilized by complementing each others' performance and by jointly meeting societal needs.

In this project we utilize the concept of Dynamic Monitoring and Decision Systems (DyMoNDS) framework for IT-enabled engineering of end-to-end retail level energy services. The main architecture of interest is a fully integrated retail level energy service system for enhanced efficient, clean and reliable energy services.

The requirement of fast generation for the case when the aggregate of small end-devices respond versus when they do not, decreases significantly. As a result, the wear-and-tear of the fast units reduce significantly and more importantly, the need for these expensive units can be minimized.

This project will develop and demonstrate an active defense mechanism of cyber-resilient PV distribution system operation using a dynamic watermarking technique to monitor cybersecurity. The technique involves injecting a probe signal onto the grid to authenticate grid actions.

This project will develop and demonstrate an active defense mechanism of cyber-resilient PV distribution system operation using a dynamic watermarking technique to monitor cybersecurity. The technique involves injecting a probe signal onto the grid to authenticate grid actions.

MIT is developing a modeling and HLA-compatible simulation platform called SEPSS. This platform builds on an earlier TCP/IP based multi-layered interactive computer platform named Smart Grid in a Room Simulator (SGRS) developed in collaboration with NIST.