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Other literature type . 2025
License: CC BY
Data sources: ZENODO
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Presentation . 2025
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2025
License: CC BY
Data sources: Datacite
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Model Predictive Control of Coupled Electrical and Thermal Networks: A Real-Time Co-Simulation Study

Authors: Yehia, Sary;

Model Predictive Control of Coupled Electrical and Thermal Networks: A Real-Time Co-Simulation Study

Abstract

This presnetation briefly introduces a real-time model predictive control (MPC) framework that coordinates heating, ventilation and air conditioning (HVAC) flexibility, pumped thermal energy storage (PTES) and distributed generation while enforcing unbalanced three-phase AC network constraints. A convexified power-flow model enables tractable integration of detailed network physics within the MPC. The framework is validated through a high-fidelity MATLAB-RTDS co-simulation using low-latency UDP communication.

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Keywords

Thermal Building Model, Pumped Thermal Energy Storage, Co-Simulation Environment, Unbalanced Distribution Network, Real-Time Digital Simulator, Model Predictive Control

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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