References & Citations
Electrical Engineering and Systems Science > Systems and Control
Title: Aggregate Model of District Heating Network for Integrated Energy Dispatch: A Physically Informed Data-Driven Approach
(Submitted on 21 Aug 2023 (v1), last revised 27 Mar 2024 (this version, v2))
Abstract: The district heating network (DHN) is essential in enhancing the operational flexibility of integrated energy systems (IES). Yet, it is hard to obtain an accurate and concise DHN model for the operation owing to complicated network features and imperfect measurements. Considering this, this paper proposes a physical-ly informed data-driven aggregate model (AGM) for the DHN, providing a concise description of the source-load relationship of DHN without exposing network details. First, we derive the analytical relationship between the state variables of the source and load nodes of the DHN, offering a physical fundament for the AGM. Second, we propose a physics-informed estimator for the AGM that is robust to low-quality measurements, in which the physical constraints associated with the parameter normalization and sparsity are embedded to improve the accuracy and robustness. Finally, we propose a physics-enhanced algorithm to solve the nonlinear estimator with non-closed constraints efficiently. Simulation results verify the effectiveness of the proposed method.
Submission history
From: Shuai Lu [view email][v1] Mon, 21 Aug 2023 05:54:57 GMT (676kb)
[v2] Wed, 27 Mar 2024 13:11:53 GMT (1220kb)
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