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1. Qureshi, Faran Ahmed. Predictive Control of Buildings for Demand Response and Ancillary Services Provision.

Degree: 2017, EPFL

URL: http://infoscience.epfl.ch/record/232431

This thesis develops optimization based techniques for the control of building heating, ventilation, and air-conditioning (HVAC) systems for the provision of demand response and ancillary services to the electric grid. The first part of the thesis focuses on the development of the open source MATLAB toolbox OpenBuild, developed for modeling of buildings for control applications. The toolbox constructs a first-principles based model of the building thermodynamics using EnergyPlus model data. It also generates the disturbance data affecting the models and allows one to simulate various usage scenarios and building types. It enables co-simulation between MATLAB and EnergyPlus, facilitating model validation and controller testing. OpenBuild streamlines the design and deployment of predictive controllers for control applications. The second part of the thesis introduces the concept of buildings acting as virtual storages in the electric grid and providing ancillary services. The control problem (for the bidding phase) to characterize the flexibility of a building, while also participating in the intraday energy market is formulated as a multi-stage uncertain optimization problem. An approximate solution method based on a novel intraday control policy and two-stage stochastic programming is developed to solve the bidding problem. A closed loop control algorithm based on a stochastic MPC controller is developed for the online operation phase. The proposed control method is used to carry out an extensive simulation study using real data to investigate the financial benefits of office buildings providing secondary frequency control services to the grid in Switzerland. The technical feasibility of buildings providing a secondary frequency control service to the grid is also demonstrated in experiments using the experimental platform (LADR) developed in the Automatic Control Laboratory of EPFL. The experimental results validate the effectiveness of the proposed control method. The third part of the thesis develops a hierarchical method for the control of building HVAC systems for providing ancillary services to the grid. Three control layers are proposed: The local building controllers at the lowest level track the temperature set points received from the thermal flexibility controller that maximizes the flexibility of a buildingâs thermal consumption. At the highest level, the electrical flexibility controller controls the HVAC system while maximizing the flexibility provided to the grid. The two flexibility control layers are based on robust optimization methods. A control-oriented model of a typical air-based HVAC system with a thermal storage tank is developed and the efficacy of the proposed control scheme is demonstrated in simulations.
*Advisors/Committee Members: Jones, Colin Neil.*

Subjects/Keywords: demand response; ancillary services; building control; building thermodynamic modeling; HVAC modeling and control; secondary frequency control; smart grids; stochastic optimization; robust optimization; MPC

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Qureshi, F. A. (2017). Predictive Control of Buildings for Demand Response and Ancillary Services Provision. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/232431

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Qureshi, Faran Ahmed. “Predictive Control of Buildings for Demand Response and Ancillary Services Provision.” 2017. Thesis, EPFL. Accessed September 21, 2018. http://infoscience.epfl.ch/record/232431.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Qureshi, Faran Ahmed. “Predictive Control of Buildings for Demand Response and Ancillary Services Provision.” 2017. Web. 21 Sep 2018.

Vancouver:

Qureshi FA. Predictive Control of Buildings for Demand Response and Ancillary Services Provision. [Internet] [Thesis]. EPFL; 2017. [cited 2018 Sep 21]. Available from: http://infoscience.epfl.ch/record/232431.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Qureshi FA. Predictive Control of Buildings for Demand Response and Ancillary Services Provision. [Thesis]. EPFL; 2017. Available from: http://infoscience.epfl.ch/record/232431

Not specified: Masters Thesis or Doctoral Dissertation

EPFL

2. Korda, Milan. Moment-sum-of-squares hierarchies for set approximation and optimal control.

Degree: 2016, EPFL

URL: http://infoscience.epfl.ch/record/219000

This thesis uses the idea of lifting (or embedding) a nonlinear controlled dynamical system into an infinite-dimensional space of measures where this system is equivalently described by a linear equation. This equation and problems involving it are subsequently approximated using well-known moment-sum-of-squares hierarchies. First, we address the problems of region of attraction, reachable set and maximum controlled invariant set computation, where we provide a characterization of these sets as an infinite-dimensional linear program in the cone of nonnegative measures and we describe a hierarchy of finite-dimensional semidefinite-programming (SDP) hierarchies providing a converging sequence of outer approximations to these sets. Next, we treat the problem of optimal feedback controller design under state and input constraints. We provide a hierarchy of SDPs yielding an asymptotically optimal sequence of rational feedback controllers. In addition, we describe hierarchies of SDPs yielding approximations to the value function attained by any given rational controller, from below and from above, as well as a hierarchy of SDPs providing approximations from below to the optimal value function, hence obtaining performance certificates for the designed controllers as well as for any given rational controller. Finally, we describe a method to verify properties of a closed loop interconnection of a nonlinear dynamical system and an optimization-based controller (e.g., a model predictive controller) for deterministic and stochastic nonlinear dynamical systems. Properties such as global stability, the ℓ_{2} gain or performance with respect to a given infinite-horizon cost function can be certified. The methods presented are easy to implement using freely available software packages and are documented by a number of numerical examples.
*Advisors/Committee Members: Jones, Colin Neil.*

Subjects/Keywords: region of attraction; reachable set; maximum controlled invariant set; optimal control; moment hierarchy; sum-of-squares; semidefinite programming; controller verification; lifting; embedding

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Korda, M. (2016). Moment-sum-of-squares hierarchies for set approximation and optimal control. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/219000

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Korda, Milan. “Moment-sum-of-squares hierarchies for set approximation and optimal control.” 2016. Thesis, EPFL. Accessed September 21, 2018. http://infoscience.epfl.ch/record/219000.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Korda, Milan. “Moment-sum-of-squares hierarchies for set approximation and optimal control.” 2016. Web. 21 Sep 2018.

Vancouver:

Korda M. Moment-sum-of-squares hierarchies for set approximation and optimal control. [Internet] [Thesis]. EPFL; 2016. [cited 2018 Sep 21]. Available from: http://infoscience.epfl.ch/record/219000.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Korda M. Moment-sum-of-squares hierarchies for set approximation and optimal control. [Thesis]. EPFL; 2016. Available from: http://infoscience.epfl.ch/record/219000

Not specified: Masters Thesis or Doctoral Dissertation

EPFL

3. Gorecki, Tomasz Tadeusz. Predictive Control methods for Building Control and Demand Response.

Degree: 2017, EPFL

URL: http://infoscience.epfl.ch/record/228898

This thesis studies advanced control techniques for the control of building heating and cooling systems to provide demand response services to the power network. It is divided in three parts. The first one introduces the MATLAB toolbox OpenBuild which aims at facilitating the design and validation of predictive controllers for building systems. In particular, the toolbox constructs models of building that are appropriate for use in predictive controllers, based on standard building description data files. It can also generate input data for these models that allows to test controllers in a variety of weather and usage scenarios. Finally, it offers co-simulation capability between MATLAB and EnergyPlus in order to test the controllers in a trusted simulation environment, making it a useful tool for control engineers and researchers who want to design and test building controllers in realistic simulation scenarios. In the second part, the problem of robust tracking commitment is formulated: it consists of a multi-stage robust optimization problem for systems subject to uncertainty where the set where the uncertainty lies is part of the decision variables. This problem formulation is inspired by the need to characterize how an energy system can modify its electric power consumption over time in order to procure a service to the power network, for example Demand Response or Reserve Provision. A method is proposed to solve this problem where the key idea is to modulate the uncertainty set as the image of a fixed uncertainty set by a modifier function, which allows to embed the modifier function in the controller and by doing so convert the problem into a standard robust optimization problem. The applicability of this framework is demonstrated in simulation on a problem of reserve provision by a building. We finally detail how to derive infinite horizon guarantees for the robust tracking commitment problem. The third part of thesis reports the experimental works that have been conducted on the Laboratoire d'Automatique Demand Response (LADR) platform, a living lab equipped with sensors and a controllable heating system. These experiments implement the algorithms developed in the second part of the thesis to characterize the LADR platform flexibility and demonstrate the closed-loop control of a building heating system providing secondary frequency control to the Swiss power network. In the experiments, we highlight the importance of being able to adjust the power consumption baseline around which the flexibility is offered in the intraday market and show how flexibility and comfort trade off.
*Advisors/Committee Members: Jones, Colin Neil.*

Subjects/Keywords: MPC; predictive control; robust optimization; building control; ancillary services; demand response; frequency regulation; power consumption flexibility; smart grid; demand side management

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Gorecki, T. T. (2017). Predictive Control methods for Building Control and Demand Response. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/228898

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Gorecki, Tomasz Tadeusz. “Predictive Control methods for Building Control and Demand Response.” 2017. Thesis, EPFL. Accessed September 21, 2018. http://infoscience.epfl.ch/record/228898.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Gorecki, Tomasz Tadeusz. “Predictive Control methods for Building Control and Demand Response.” 2017. Web. 21 Sep 2018.

Vancouver:

Gorecki TT. Predictive Control methods for Building Control and Demand Response. [Internet] [Thesis]. EPFL; 2017. [cited 2018 Sep 21]. Available from: http://infoscience.epfl.ch/record/228898.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gorecki TT. Predictive Control methods for Building Control and Demand Response. [Thesis]. EPFL; 2017. Available from: http://infoscience.epfl.ch/record/228898

Not specified: Masters Thesis or Doctoral Dissertation