In HARMONY-LAB, we pioneer the integration of inverter-based resources (IBRs) by treating them as autonomous holonic entities that serve as both self-governing units and critical components of a larger, nested grid architecture. Our research moves beyond traditional linear models to address the nonlinear, multi-physics dynamics inherent in high-penetration renewable grids. By modeling these systems as multiscale holarchies, we develop frameworks capable of identifying and managing complex interactions that span from the high-speed switching of power electronics to the long-term stability of the bulk power system.

Central to our methodology is the deployment of advanced algorithmic heuristics, including non-Bayesian unsupervised learning and convolution-based system identification. We are redefining power system metrology by developing non-Euclidean measurement tools and manifold-based analytics, providing a more accurate geometric perspective on system stability and contingency management. Furthermore, the HARMON-LAB explores the frontier of quantum-inspired optimization to enhance grid resilience, ensuring that the transition to sustainable energy is both technologically robust and equitably distributed, benefiting underserved communities.

​

Our work can be categorized into three main incentives: