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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,

Project Partners

Iowa Energy Center
Siemens Corporation
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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