On a Future for Smart Inverters with Integrated System Functions

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

45 Scopus citations

Abstract

The modern electric power grid is gradually evolving to include high-penetration power electronics in a distributed architecture that will pose pressing new challenges on power quality, system control, and operation. The state-of-the-art smart inverters for solar photovoltaics may not be sufficient to address some of the stability and control challenges such as harmonic resonances due to the interactions of multiple power electronics converters. This paper discusses a future of smart inverters with integrated system functions and its associated challenges and identifies smart inverter research trends and features in the context of flexible control architectures. Future power electronics research will shift from hardware solutions to more control solutions with integrated system functions under distributed power grid scenarios with small-scale power electronics interfaced with distributed generations and loads.

Original languageEnglish
Title of host publication2018 9th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781538667057
DOIs
StatePublished - Aug 27 2018
Event9th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2018 - Charlotte, United States
Duration: Jun 25 2018Jun 28 2018

Publication series

Name2018 9th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2018

Conference

Conference9th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2018
Country/TerritoryUnited States
CityCharlotte
Period06/25/1806/28/18

Funding

ACKNOWLEDGMENT This material is based upon work supported by the US Department of Energy, Office of Electricity Delivery & Energy Reliability, Advanced Grid Modeling Program, and GMLC 1.2.1 Grid Architecture Project, under contract number DE-AC05-00OR22725. Partial work is also from research sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the US Department of Energy. This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

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