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Reed, Gregory F.

Publications and source records attributed to Reed, Gregory F..

An Analytical Model for Predicting Turn-ON Overshoot in Normally-OFF GaN HEMTs

Recently, a major challenge in the adoption of wide bandgap semiconductors for power electronic applications is the need to trade device performance for device safety. In this article, methods for predicting gate voltage overshoot in normally-OFF gallium nitride (GAN) high electron mobility transistors (HEMTs) are derived in order to deliver optimal device performance. Two models are proposed; a simple, yet less accurate second order model and a complex, yet more accurate fourth order model. These models allow for the calculation of gate resistances necessary for a desired amount of gate voltage overshoot. The nonlinear capacitances of the device are considered in the analysis. The models are validated with an experimental double-pulse tester. Furthermore, these newly developed models allow design engineers to extract the best possible performance of commercially available GaN devices while keeping the devices in their safe-operating region.

42 ENGINEERING↗

Electric Power Distribution System Model Simplification Using Segment Substitution

Quasi-static time-series (QSTS) simulation is used to simulate the behavior of distribution systems over long periods of time (typically hours to years). The technique involves repeatedly solving the load-flow problem for a distribution system model and is useful for distributed energy resource (DER) planning. When a QSTS simulation has a small time step and a long duration, the computational burden of the simulation can be a barrier to integration into utility workflows. One way to relieve the computational burden is to simplify the system model. The segment substitution method of simplifying distribution system models introduced in this paper offers model bus reduction of up to 98% with a simplification error as low as 0.2% (0.002 pu voltage). In contrast to existing methods of distribution system model simplification, which rely on topological inspection and linearization, the segment substitution method uses black-box segment data and an assumed simplified topology.

Reiman, Andrew P. (ORCID:0000000302042960)↗