Multi-scale Integration of Physics-Based and Data-Driven Models in Power Systems

The major subject of this paper is the introduction and testing of a new modeling paradigm necessary for enabling sustainable performance of electric energy systems. In previous work we have identified major challenges to systematically modeling distributed, non-uniform resources emerging in power g...

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Bibliographic Details
Published in:2012 IEEE/ACM Third International Conference on Cyber-Physical Systems pp. 129 - 137
Main Authors: Xie, Le, Zhang, Yun, Ilic, Marija D.
Format: Conference Proceeding
Language:English
Published: Washington, DC, USA IEEE Computer Society 17.04.2012
IEEE
Series:ACM Conferences
Subjects:
Biological system modeling
Computational modeling
Computing methodologies
Computing methodologies > Modeling and simulation
Computing methodologies > Modeling and simulation > Model development and analysis
Computing methodologies > Modeling and simulation > Model development and analysis > Modeling methodologies
Data models
data-driven modeling
Generators
Load modeling
Mathematical model
Multi-scale modeling
Power system dynamics
spatial aggregation
structure-preserving modeling
temporal aggregation
spatial aggregation
temporal aggregation
Multi-scale modeling
structure-preserving modeling
data-driven modeling
ISBN:9780769546957, 0769546951, 1467315370, 9781467315371
Online Access:Get full text
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Summary:The major subject of this paper is the introduction and testing of a new modeling paradigm necessary for enabling sustainable performance of electric energy systems. In previous work we have identified major challenges to systematically modeling distributed, non-uniform resources emerging in power grids. Today's modeling of electric energy systems is either entirely based on first principles which suffers significantly from the ever-increasing complexity of non-uniform devices, or is purely based on computer science data-driven approaches which lose the fundamental physical insights of electric power networks. Therefore, it is very difficult with today's modeling practices to integrate distributed non-uniform resources using both first-principle and data driven approaches in large-scale cyber-physical energy systems. In sharp contrast, this paper presents a holistic multi-scale modeling approach by combing advances from (1) physics based modeling of emerging distributed resources (e.g. wind generation and storage devices), and (2) data-driven modeling of load resources. With both physics-based models of distributed resources and data-driven models of flexible demands, key parameters are abstracted and identified from the detailed dynamical models necessary for the multi-scale power system operations. The proposed modeling framework is tested using realistic phasor measurement unit data obtained from Electric Reliability Council of Texas (ERCOT).
ISBN:9780769546957
0769546951
1467315370
9781467315371
DOI:10.1109/ICCPS.2012.21