Grid-forming control of inverter-interfaced renewable resources, modeling of power system dynamics and stability, synchrophasor data analytics, dc microgrids and power conversion systems

Grid-forming inverter-based resource modeling and analysis; reduced-order dynamic modeling including coherency identification and aggregation of grid-forming resources within the bulk power system; large-signal stability of power electronics-based power systems; multiple-harmonic dynamic phasor modeling; microgrids; hardware validation of grid-tied grid-forming inverter controls; power system stability; energy storage.• Grid-forming control development and validation, including advanced voltage regulation, current regulation, 'model-preserving' control development, virtual impedance and coherency enforcement.• Reduced-order dynamic modeling and stability analysis of power systems containing substantial levels of power-electronics-based distributed generation, with focus on grid-forming inverter networks.• Dynamic modeling, optimal design and control of the Hybrid Energy Module, a modular power generation ‘building block’ for microgrid systems, with energy storage, combined heating and power, and renewable sources (2014-2015).• Integration of second-life batteries into an EV charging station hybrid microgrid (2012-2013).