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title:(Modeling AND Smart AND Energy AND Systems AND for AND Model AND Predictive AND Control)

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1 Conference paper

Modeling Smart Energy Systems for Model Predictive Control

Halvgaard, Rasmus; Poulsen, Niels Kjølstad; Madsen, Henrik; Jørgensen, John Bagterp

Proceedings of the 17th Nordic Process Control Workshop — 2012

as it is produced requires a very exible and controllable power consumption. Examples of controllable electric loads are heat pumps in buildings and Electric Vehicles (EVs) that are expected to play a large role in the future danish energy system. These units in a smart energy system can potentially oer exibility

Year: 2012

Language: English

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2 PhD Thesis

Model Predictive Control for Smart Energy Systems

Halvgaard, Rasmus

Technical University of Denmark — 2014

provides linear dynamical models of Smart Grid units: Electric Vehicles, buildings with heat pumps, refrigeration systems, solar collectors, heat storage tanks, power plants, and wind farms. The models can be realized as discrete time state space models that fit into a predictive control system. Chapter 3

Year: 2014

Language: English

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3 Conference paper

Economic Model Predictive Control for Smart Energy Systems

Model Predictive Control (MPC) can be used to control the energy distribution in a Smart Grid with a high share of stochastic energy production from renewable energy sources like wind. Heat pumps for heating residential buildings can exploit the slow heat dynamics of a building to store heat

Year: 2011

Language: English

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4 Journal article

Distributed Model Predictive Control for Smart Energy Systems

Integration of a large number of flexible consumers in a smart grid requires a scalable power balancing strategy. We formulate the control problem as an optimization problem to be solved repeatedly by the aggregator in a model predictive control framework. To solve the large-scale control problem

Year: 2016

Language: English

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