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arXiv · 2403.15029

On the Solution Uniqueness of Data-Driven Modeling of Flexible Loads (with Supplementary Material)

Shuai Lu·Jiayi Ding·Mingji Chen·Wei Gu·Junpeng Zhu·Yijun Xu·Zhaoyang Dong·Zezheng Sun
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Abstract

This letter first explores the solution uniqueness of the data-driven modeling of price-responsive flexible loads (PFL). The PFL on the demand side is critical in modern power systems. An accurate PFL model is fundamental for system operations. However, whether the PFL model can be uniquely and correctly identified from operational data remains unclear. To address this, we analyze the structural and practical identifiability of the PFL model, deriving the dataset condition that guarantees the solution uniqueness. Besides, we point out the practical implications of the results. Numerical tests validate this work.

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Shuai Lu, Jiayi Ding, Mingji Chen, Wei Gu, Junpeng Zhu, Yijun Xu, Zhaoyang Dong, Zezheng Sun. 2024-03-22. On the Solution Uniqueness of Data-Driven Modeling of Flexible Loads (with Supplementary Material). https://doi.org/10.1109/tsg.2024.3518094

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