Nhu Energy is pleased to begin work on a recently launched project led by Florida State University’s Center for Advanced Power Systems (CAPS) and funded by the Dept. of Energy’s Office of Cybersecurity, Energy Security, and Emergency Response (CESER). In addition to Nhu Energy, FSU’s partners include UNC Charlotte, GE Research, and the New York Power Authority (NYPA). The ultimate objective is to enable energy delivery transmission and distribution systems to survive a cyber incident while sustaining critical functions. To help accomplish this, the R&D project is focused on development and testing of a concurrent learning cyberphysical framework for resilient electric power transmission and distribution system.

The aim is to leverage the cyber-physical nature of the energy delivery transmission and distribution process to develop a suite of concurrent learning resilient algorithms. The developed algorithms will seamlessly merge data-driven machine learning models, for the cyber layer, with domain knowledge physics-based models, for the physical layer, to simultaneously achieve high accuracy and high generalizability for detecting, localizing and neutralizing both known and unknown cyberattacks.

Nhu Energy is providing expertise, development, and controller hardware-in-the-loop (CHIL) testing of distribution level modeling and control systems that make up the the cyber-physical testbed for the suite of concurrent learning resilient algorithms for detection and mitigation.