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

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

Content Provider	ACM Digital Library
Author	Ilic, Marija D. Zhang, Yun Xie, Le
Abstract	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).
Starting Page	129
Ending Page	137
Page Count	9
File Format	PDF
ISBN	9780769546957
DOI	10.1109/ICCPS.2012.21
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-04-17
Access Restriction	Subscribed
Subject Keyword	Multi-scale modeling spatial aggregation temporal aggregation data-driven modeling structure-preserving modeling
Content Type	Text
Resource Type	Article

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