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Towards Operational Validation: Mapping Power System Inputs to Operating Conditions

Validation is a critical component in the development of synthetic models, which aims to convince a user that a model achieves its claims of realism.
While users of power system test cases are primarily interested in operational results, which could be considered outputs, it is more convenient and feasible to control distributions of data inputs, both structural and otherwise.
Validation metrics, are therefore generally focused on input rather than operation features.
This paper investigates the link between input and output statistics in power system.
Better understanding of this relationship allows validation to continue to focus largely on input statistics, while at the same time offering some assurance about operational behavior.

Author(s):

Eran Schweitzer    
Arizona State University
United States

Ti Xu    
Texas A&M University
United States

Adam Birchield    
Texas A&M University
United States

Anna Scaglione    
Arizona State University
United States

Thomas Overbye    
Texas A&M University
United States

Robert Thomas    
Cornell University
United States

Zhifang Wang    
Virginia Commonwealth University
United States

 

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