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Model Gap Quantification and Evaluation

by Shaobu Wang, Wei Du, Gang Zheng, Hong Wang, Zhenyu Huang
Publication Type
Conference Paper
Book Title
Proceedings of the 2024 UKACC 14th International Conference on Control
Publication Date
Page Numbers
57 to 59

In the real world, model gaps always exist because models cannot perfectly match the objective physical plants. Model gaps reflect the integrity of models, which is vital for model validation and calibration. This letter proposes a novel approach for model gap quantification and evaluation. First, a comprehensive metric is developed to quantify dynamic model gaps. Next, the model gaps are evaluated from a panoramic view of the probability distribution of the comprehensive metric for multiple scenarios. Finally, we demonstrate the proposed quantification and evaluation approach through synchronous machine models.