Inertial response study on the year 2030 U.S. Eastern Interconnection (EI) high wind scenario

Gefei Kou, Yilu Liu, Samantha White, Stanton Hadley, Tom King

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

2 Scopus citations

Abstract

This paper documents a dynamic simulation study of inertial response on the U.S. Eastern Interconnection (EI) in the year 2030. The 2030 EI model features 17% wind penetration, which is mainly located in the Midcontinent Independent System Operator (MISO) and the Southwest Power Pool (SPP) territories. This comparison study looks at the difference in system wide inertial responses between wind and conventional generators by displacing the wind machines with synchronous generators. Simulation results show the impact of reduced inertia due to the wind penetration. The performance of wind inertia control is also studied.

Original languageEnglish
Title of host publication2016 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509021574
DOIs
StatePublished - Jul 22 2016
Event2016 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2016 - Dallas, United States
Duration: May 3 2016May 5 2016

Publication series

NameProceedings of the IEEE Power Engineering Society Transmission and Distribution Conference
Volume2016-July
ISSN (Print)2160-8555
ISSN (Electronic)2160-8563

Conference

Conference2016 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2016
Country/TerritoryUnited States
CityDallas
Period05/3/1605/5/16

Funding

This work was supported in part by the Engineering Research Center closely investigated: Program of the National Science Foundation and the Department of Energy under NSF Award Number EEC-1041877 and the CURENT Industry Partnership Program. The authors would like to acknowledge the support of the Oak Ridge National Laboratory and the U.S. Department of Energy's Office of Electricity Delivery and Energy Reliability under the Advanced Modeling Grid Research Program

FundersFunder number
National Science FoundationEEC-1041877
U.S. Department of Energy
Oak Ridge National Laboratory

    Keywords

    • Power system dynamics
    • power system modeling
    • wind power generation

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