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Mixed-Integer Real-time Control of a Building Energy Supply System

  • We present a methodology based on mixed-integer nonlinear model predictive control for a real-time building energy management system in application to a single-family house with a combined heat and power (CHP) unit. The developed strategy successfully deals with the switching behavior of the system components as well as minimum admissible operating time constraints by use of a special switch-cost-aware rounding procedure. The quality of the presented solution is evaluated in comparison to the globally optimal dynamic programming method and conventional rule-based control strategy. Based on a real-world scenario, we show that our approach is more than real-time capable while maintaining high correspondence with the globally optimal solution. We achieve an average optimality gap of 2.5% compared to 20% for a conventional control approach, and are faster and more scalable than a dynamic programming approach.

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Author:Artyom BurdaORCiD, Dimitri BitnerORCiD, Felix BestehornORCiDGND, Christian KirchesORCiDGND, Martin GrotjahnORCiDGND
DOI original:https://doi.org/10.1109/LCSYS.2022.3229159
Parent Title (English):IEEE Control Systems Letters
Document Type:Article
Year of Completion:2022
Publishing Institution:Hochschule Hannover
Release Date:2023/03/13
Tag:Building automation; Energy management; Model Predictive Control; Optimal control; mixed-integer nonlinear model predictive control
GND Keyword:Energiemanagement; Optimale Kontrolle; Modellprädiktive Regelung; Nichtlineare modellprädiktive Regelung
Page Number:6
First Page:907
Last Page:912
Link to catalogue:1870850653
Institutes:Fakultät II - Maschinenbau und Bioverfahrenstechnik
DDC classes:620 Ingenieurwissenschaften und Maschinenbau
Licence (German):License LogoUrheberrechtlich geschützt