Modeling of a Networked Community Microgrid with High Solar Penetration Considering Control Dynamics of Inverter-Based Resources

Dingrui Li, Yu Su, Fred Wang, Mohammed Olama, Maximiliano Ferrari, Ben Ollis

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

Abstract

Microgrids help facilitate the integration of renewable energy in distribution-level grids and increase the resilience of the electric grid to extreme weather, especially in rural areas. Compared to traditional microgrids, a networked microgrid leverages multiple grid-forming sources to form a potential meshed grid and is more flexible in operation. This paper demonstrates the simulation modeling of an actual networked microgrid located in Adjuntas, Puerto Rico. The model contains representations of power inverters that connect the battery energy storage systems and photovoltaic generation systems to the networked microgrid and is capable of simulating fast grid transients as well as long-term operation of the networked microgrid. The modeling technique for power inverters allows the time-efficient simulation of the microgrid with a minimal penalty on model accuracy.

Original languageEnglish
Title of host publication2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages120-124
Number of pages5
ISBN (Electronic)9798350336962
DOIs
StatePublished - 2023
Event2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023 - San Juan, United States
Duration: Nov 6 2023Nov 9 2023

Publication series

Name2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023

Conference

Conference2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023
Country/TerritoryUnited States
CitySan Juan
Period11/6/2311/9/23

Funding

ACKNOWLEDGMENT This material is based upon work supported by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) under the Solar Energy Technologies Office Award Number DE-EE0002243-2144. The views expressed 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 (https://www.energy.gov/doe-public-access-plan).

FundersFunder number
DOE Public Access Plan
U.S. Department of Energy
Office of Energy Efficiency and Renewable Energy
Solar Energy Technologies OfficeDE-EE0002243-2144
Solar Energy Technologies Office

    Keywords

    • Networked microgrid
    • control dynamics
    • inverter-based resources
    • microgrid modeling

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