D
Dragan Maksimovic
Researcher at University of Colorado Boulder
Publications - 469
Citations - 29081
Dragan Maksimovic is an academic researcher from University of Colorado Boulder. The author has contributed to research in topics: Converters & Buck converter. The author has an hindex of 84, co-authored 448 publications receiving 26814 citations. Previous affiliations of Dragan Maksimovic include California Institute of Technology & National Renewable Energy Laboratory.
Papers
More filters
Proceedings ArticleDOI
The Effect of Power Electronic Loads on Western Interconnection Stability
TL;DR: In this paper, the authors focus on the effect of changing load composition, specifically the transition from single phase air conditioner motors to power electronics backed air conditioners, on power system stability.
Proceedings ArticleDOI
Monolithic implementation of phase shifted switched capacitor step-down DC-DC converter for portable power applications
TL;DR: In this paper, a reconfigurable switched capacitor (SC) step-down DC-DC converter architecture is proposed for on-chip integrated portable power supplies, which can be viewed as a dual of the multiphase buck converter architecture.
Patent
Modular Scalable Power Conversion
TL;DR: In this paper, a cascaded architecture composed of interconnected blocks that are each designed to process constant power and eliminate bulk energy storage is provided, and local controls within each block natively achieve both block and system-level aims, making the system modular and scalable.
Patent
Modular DC-DC Converter including a DC transformer module
TL;DR: In this paper, a modular dc-dc boost converter system is provided that can substantially improve efficiency over a wide range of input and output voltages, including three modules: a buck module, a boost module, and a dc transformer module.
Control Design of Series-Connected PV-Powered Grid-Forming Converters via Singular Perturbation
TL;DR: In this article , a design approach where singular perturbation theory is used to decompose the timescales at which each control loop operates and provides a systematic framework for parametric selection is proposed.