MINLP‐based hybrid strategy for operating mode selection of TES‐backed‐up refrigeration systems

DOI10.1002/RNC.4674zbMath1525.93080OpenAlexW2964052205WikidataQ127494549 ScholiaQ127494549MaRDI QIDQ6078905

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Publication date: 25 October 2023

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.4674

zbMATH Keywords

schedulingmixed-integer nonlinear programmingrefrigeration systemphase change materialsthermal energy storage

Mathematics Subject Classification ID

Mixed integer programming (90C11) Nonlinear programming (90C30) Application models in control theory (93C95) Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems) (93C30) Model predictive control (93B45)

Related Items (1)

Distributed iterative learning temperature control for large‐scale buildings

Cites Work

• An algorithmic framework for convex mixed integer nonlinear programs
• Project scheduling with resource constraints: A branch and bound approach. Note by Frederik Kaefer
• On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
• Convex dynamic programming for hybrid systems
• On hybrid systems and closed-loop MPC systems
• Predictive control of switched nonlinear systems with scheduled mode transitions
• Branch-and-Bound Methods: A Survey

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