Smart Energy Systems

Section for Scientific Computing, DTU Compute, Technical University of Denmark

Vision - An Energy System based on Renewable Energy Sources

Smart Energy System 

Renewable energy sources such as wind energy, solar energy and wave energy are intermittent and stochastic in nature. To increase the share of intermittent renewable energy sources in the energy supply, the energy production and energy consumption must be controlled and balanced in a new and intelligent way.

This research program in Smart Energy Systems develops Model Predictive Control (MPC) technology for balancing power supply and power demand in an economic efficient way for a system with a large number of independent power producers and power consumers.

The power producers include

  • Wind turbines

  • Photovoltaic solar modules

  • Solar panels

  • Wave power

  • Power plants (includes combined heat and power plants, CHPs)

The power consumers include

  • Electric vehicles (the battery may be used for storing energy)

  • Residential heating using heat pumps

  • Residential heating using district heating from CHPs, geothermal heat and central heat pumps

  • Water tank heat storage systems

  • Commercial refrigeration and cooling (e.g. supermarket refrigerators and freezers)

  • Power consumption by industry, e.g. the process industries

Publications

PhD Theses

  • Leo Emil Sokoler: Methods and Algorithms for Economic MPC in Power Production Planning, 2015

  • Laura Standardi: Economic Model Predictive Control for Large-Scale and Distributed Energy Systems, 2014

  • Rasmus Halvgaard: Model Predictive Control for Smart Energy Systems, 2014

  • Tobias Gybel Hovgaard: Power Management for Energy Systems, 2013

  • Kristian Edlund: Dynamic Load Balancing of a Power System Portfolio, 2010

MSc Theses

  • Peter Juhler Dinesen: Unit Commitment and Economic Model Predictive Control for Optimal Operation of Power Systems, 2014-2015

  • Leo Emil Sokoler: Second-Order Cone Programming for Probabilistic MPC in Power Production Management, 2011-2012

BSc Theses

  • Leo Emil Sokoler: Convex Optimization Algorithms for Power Plant Operation, 2009

Papers

Modeling heat dynamics in multi-room building environments

J. Parvizi, D.E.M. Bondy, P. Bacher, H. Bindner, J.B. Jørgensen, H. Madsen

Price responsive predictive control of a heat pump in a family house

J. Parvizi, E.B. Sørensen, M. Clausen, H. Børsting, J.B. Jørgensen, H. Madsen

Economic MPC based on an LPV model for thermostatically controlled loads

N. Zemtsov, J. Hlava, G. Frantsuzova, H. Madsen, R.G. Junker, J.B. Jørgensen

An efficient and rigorous thermodynamic library applied for the optimal control of a cryogenic air separation process

J. Gaspar, T.K.S. Ritschel, J.B. Jørgensen

Economic MPC for a Linear Stochastic System of Energy Units

J.B. Jørgensen, L.E. Sokoler, L. Standardi, R. Halvgaard, T.G. Hovgaard, G. Frison, N.K. Poulsen, H. Madsen

A Hierarchical Algorithm for Integrated Scheduling and Control with Applications to Power Systems

L.E. Sokoler, P.J. Dinesen, J.B. Jørgensen

Application of Economic MPC to Frequency Control in a Single-Area Power System

L.E. Sokoler, K. Edlund, J.B. Jørgensen

Contingency-Constrained Unit Commitment for Island Operations

L.E. Sokoler, P. Vinter, R. Bærentsen, K. Edlund, J.B. Jørgensen

A Decomposition Algorithm for Mean-Variance Economic Model Predictive Control of Stochastic Linear Systems

L.E. Sokoler, B. Dammann, H. Madsen, J.B. Jørgensen

A Mean-Variance Criterion for Economic Model Predictive Control of Stochastic Linear Systems

L.E. Sokoler, B. Dammann, H. Madsen, J.B. Jørgensen

A Dantzig-Wolfe Decomposition Algorithm for Linear Economic Model Predictive Control of Dynamically Decoupled Systems]

L.E. Sokoler, L. Standardi, K. Edlund, N.K. Poulsen, H. Madsen, J.B. Jørgensen

Partial Cycling in Dantzig-Wolfe Optimization Applied to Linear MPC for Power Plant Management

L. Standardi, N.K. Poulsen, J.B. Jørgensen

Computational Efficient Economic MPC to Operate Power Systems

L. Standardi, L.E. Sokoler, N.K. Poulsen, J.B. Jørgensen

A Reduced Dantzig-Wolfe Decomposition for a Suboptimal Linear MPC

L. Standardi, N.K. Poulsen, J.B. Jørgensen

Control of Electricity Loads in Future Electric Energy Systems

H. Madsen, J. Parvizi, R. Halvgaard, L.E. Sokoler, J.B. Jørgensen, L.H. Hansen, K. Hilger

A Dantzig-Wolfe Decomposition Algorithm for Optimal Operation of Distributed Energy Systems

L.E. Sokoler, L. Standardi, K. Edlund, J.B. Jørgensen

Distributed Large-Scale Power Balancing

R. Halvgaard, J.B. Jørgensen, N.K. Poulsen, H. Madsen, L. Vandenberghe

Dual Decomposition for Large-Scale Power Balancing

R. Halvgaard, J.B. Jørgensen, L. Vandenberghe

Model predictive control for wind power gradients

T.G. Hovgaard, S. Boyd, J.B. Jørgensen

Operation of Power Systems via Dantzig-Wolfe Decomposition

L. Standardi, L.E. Sokoler, K. Edlund, N.K. Poulsen, J.B. Jørgensen

Thermal Storage Power Balancing with Model Predictive Control

R. Halvgaard, N.K. Poulsen, H. Madsen, J.B. Jørgensen

A Warm-Started Homogeneous and Self-Dual Interior-Point Method for Linear Economic Model Predictive Control

L.E. Sokoler, A. Skajaa, G. Frison, R. Halvgaard, J.B. Jørgensen

MPC for Wind Power Gradients - Utilizing Forecasts, Rotor Inertia, and Central Energy Storage

T.G. Hovgaard, L.F.S. Larsen, J.B. Jørgensen, S. Boyd

A Riccati Based Homogeneous and Self-Dual Interior-Point Algorithm for Linear Economic Model Predictive Control

L.E. Sokoler, K. Edlund, G. Frison, A. Skajaa, J.B. Jørgensen

Nonconvex Model Predictive Control for Commercial Refrigeration

T.G. Hovgaard, L.F.S. Larsen, J.B. Jørgensen, S. Boyd

Optimal energy consumption in refrigeration systems - modelling and non-convex optimization

T.G. Hovgaard, L.F.S. Larsen, M.J. Skovrup, J.B. Jørgensen

Sequential Convex Programming for Power Set-Point Optimization in a Wind Farm using Black-box Models, Simple Turbine Interactions, and Integer Variables

T.G. Hovgaard, L.F.S. Larsen, J.B. Jørgensen, S. Boyd

Real-Time Optimization for Economic Model Predictive Control

L.E. Sokoler, K. Edlund, G. Frison, A. Skajaa, J.B. Jørgensen

A Dantzig-Wolfe Decomposition Algorithm for Linear Economic MPC of a Power Plant Portfolio

L. Standardi, K. Edlund, N.K. Poulsen, J.B. Jørgensen

Analyzing Control Challenges for Thermal Energy Storage in Foodstuffs

T.G. Hovgaard, L.F.S. Larsen, M.J. Skovrup, J.B. Jørgensen

Model predictive control for a smart solar tank based on weather and consumption forecasts

R. Halvgaard, P. Bacher, B. Perers, E. Andersen, S. Furbo, J.B. Jørgensen, N.K. Poulsen, H. Madsen

Fast Nonconvex Model Predictive Control for Commercial Refrigeration

T.G. Hovgaard, L.F.S. Larsen, J.B. Jørgensen, S. Boyd

Model predictive control technologies for efficient and flexible power consumption in refrigeration systems

T.G. Hovgaard, L.F.S. Larsen, K. Edlund, J.B. Jørgensen

Electric vehicle charge planning using Economic Model Predictive Control

R. Halvgaard, N.K. Poulsen, H. Madsen, J.B. Jørgensen, F. Marra, D.E.M. Bondy

Hierarchical model-based predictive control of a power plant portfolio

K. Edlund, J.D. Bendtsen, J.B. Jørgensen

Flexible and Cost Efficient Power Consumption using Economic MPC

T.G. Hovgaard, L.F.S. Larsen, J.B. Jørgensen

Robust Economic MPC for a Power Management Scenario with Uncertainties

T.G. Hovgaard, L.F.S. Larsen, J.B. Jørgensen

Energy Efficient Refrigeration and Flexible Power Consumption in a Smart Grid

T.G. Hovgaard, R. Halvgaard, L.F.S. Larsen, J.B. Jørgensen

Power Consumption in Refrigeration Systems - Modeling for Optimization

T.G. Hovgaard, L.F.S. Larsen, M.J. Skovrup, J.B. Jørgensen

Economic MPC for Power Management in the Smart Grid

T.G. Hovgaard, K. Edlund, J.B. Jørgensen

The Potential of Economic MPC for Power Management

T.G. Hovgaard, K. Edlund, J.B. Jørgensen

A Dantzig-Wolfe MPC Algorithm for Power Plant Portfolio Control

K. Edlund, J.B. Jørgensen

A Primal-Dual Interior-Point Linear Programming Algorithm for MPC

K. Edlund, L.E. Sokoler, J.B. Jørgensen

Research Groups

Links