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Your search keyword '"Oldewurtel, Frauke"' showing total 24 results
Start Over Author "Oldewurtel, Frauke" Publication Type Periodicals Publisher ieee
24 results on '"Oldewurtel, Frauke"'

2. Analytical reformulation of security constrained optimal power flow with probabilistic constraints

Author

Roald, Line, Oldewurtel, Frauke, Krause, Thilo, and Andersson, Göran

Subjects
NETWORK STABILITY + VOLTAGE STABILITY (ELECTRICAL DISTRIBUTION NETWORKS), WIND POWER PLANTS (ELECTRICAL POWER GENERATION), COMPUTER SIMULATION, DYNAMISCHE OPTIMIERUNG (MATHEMATISCHE KONTROLLTHEORIE), DYNAMIC PROGRAMMING (MATHEMATICAL CONTROL THEORY), NETZSTABILITÄT + SPANNUNGSTABILITÄT (ELEKTRISCHE VERTEILNETZE), COMPUTERSIMULATION, WINDKRAFTWERKE (STROMERZEUGUNG), ddc:333.7, Natural resources, energy and environment
Abstract

2013 IEEE Grenoble PowerTech (POWERTECH), ISBN:978-1-4673-5669-5

Published
2013

7. Robust Energy-Constrained Frequency Reserves From Aggregations of Commercial Buildings.

Author

Vrettos, Evangelos, Oldewurtel, Frauke, and Andersson, Goran

Subjects
*COMMERCIAL building energy consumption, *HEATING & ventilation industry, *SIGNAL processing, *RESOURCE allocation, *ROBUST control
Abstract

It has been shown that the heating, ventilation, and air conditioning (HVAC) systems of commercial buildings can offer ancillary services to power systems without loss of comfort. In this paper, we propose a new control framework for reliable scheduling and provision of frequency reserves by aggregations of commercial buildings. The framework incorporates energy-constrained frequency signals, which are adopted by several transmission system operators for loads and storage devices. We use a hierarchical approach with three levels: 1) reserve capacities are allocated among buildings (e.g., on a daily basis) using techniques from robust optimization; 2) a robust model predictive controller optimizes the HVAC system consumption typically every 30 minutes; and 3) a feedback controller adjusts the consumption to provide reserves in real time. We demonstrate how the framework can be used to estimate the reserve capacities in simulations with typical Swiss office buildings and different reserve product characteristics. Our results show that an aggregation of approximately 100 buildings suffices to meet the 5-MW minimum bid size of the Swiss reserve market. [ABSTRACT FROM PUBLISHER]

Published
2016
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23. Stochastic Model Predictive Control for Building Climate Control.

Author

Oldewurtel, Frauke, Jones, Colin Neil, Parisio, Alessandra, and Morari, Manfred

Subjects
PREDICTIVE control systems, ENVIRONMENTAL engineering, FEEDBACK control systems, APPROXIMATION theory, COMPARATIVE studies, ENERGY conservation in buildings, STOCHASTIC processes
Abstract

In this brief paper, a Stochastic Model Predictive Control formulation tractable for large-scale systems is developed. The proposed formulation combines the use of Affine Disturbance Feedback, a formulation successfully applied in robust control, with a deterministic reformulation of chance constraints. A novel approximation of the resulting stochastic finite horizon optimal control problem targeted at building climate control is introduced to ensure computational tractability. This work provides a systematic approach toward finding a control formulation which is shown to be useful for the application domain of building climate control. The analysis follows two steps: 1) a small-scale example reflecting the basic behavior of a building, but being simple enough for providing insight into the behavior of the considered approaches, is used to choose a suitable formulation; and 2) the chosen formulation is then further analyzed on a large-scale example from the project OptiControl, where people from industry and other research institutions worked together to create building models for realistic controller comparison. The proposed Stochastic Model Predictive Control formulation is compared with a theoretical benchmark and shown to outperform current control practice for buildings. [ABSTRACT FROM AUTHOR]

Published
2014
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24. Stochastic MPC Framework for Controlling the Average Constraint Violation.

Author

Korda, Milan, Gondhalekar, Ravi, Oldewurtel, Frauke, and Jones, Colin N.

Subjects
ROBUST control, RANDOM variables, STOCHASTIC processes, COMPUTATIONAL complexity, TIME-varying systems, LOSS functions (Statistics)
Abstract

This technical note considers linear discrete-time systems with additive, bounded, disturbances subject to hard control input bounds and a stochastic constraint on the amount of state-constraint violation averaged over time. The amount of violations is quantified by a loss function and the averaging can be weighted, corresponding to exponential forgetting of past violations. The freedom in the choice of the loss function makes this formulation highly flexible—for instance, probabilistic constraints, or integrated chance constraints, can be enforced by an appropriate choice of the loss function. For the type of constraint considered, we develop a recursively feasible receding horizon control scheme exploiting the averaged-over-time nature by explicitly taking into account the amount of past constraint violations when determining the current control input. This leads to a significant reduction in conservatism. As a simple extension of the proposed approach we show how time-varying state-constraints can be handled within our framework. The computational complexity (online as well as offline) is comparable to existing model predictive control schemes. The effectiveness of the proposed methodology is demonstrated by means of a numerical example from building climate control. [ABSTRACT FROM AUTHOR]

Published
2014
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