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Measurement-Based Hierarchical Framework for Time-Varying Stochastic Load Modeling

Leverage practical AMI, SCADA, PMU and laboratory experiment data to develop static, dynamic as well as customer behavior-driven and demand response-enabled load/DG models at component, customer, feeder and substation levels. The developed hierarchical load/DG models will facilitate the development of planning models and integrated transmission and distribution models (Topic 4). Successful completion of this project will deliver a set of load/DG models and commercially-available software tools (PSS/E, CYME, RTDS/OPAL-RT) with the developed models.

Project Quick Facts

Topic ID: GM0094
Technical Area: Planning
Funding : $3 Million
Duration: 3.5 Years

Technical Project Team

  • Lead

    Jianhui Wang, ANL

  • Barry Mather,
    NREL

Project Partners

Iowa Energy Center
Siemens Corporation
Eaton/CYME
ComED
Alliant Energy
MidAmerican Energy
Electric Reliability Council of Texas (ERCOT)
PJM Interconnection
City of Ames
Cedar Falls Utilities
Iowa State University
ISU's Electric Power Research Center

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