Papers by Enrique Baeyens
Advances in Soft Computing, 2009
This paper presents a graphical tool, the VS (Virtual Supervisor) states space diagram based on t... more This paper presents a graphical tool, the VS (Virtual Supervisor) states space diagram based on the FPM (Finite Positions Machines) framework in order to analyze a manufacturing system and make it recover from a faulty situation (for example, a deadlock situation) to a safer operations sequence. The VS diagrams are intuitive and easy to obtain and they are shown here as another alternative that can be used to analyze a production system. They can be used as a complementary tool in conjunction with other alternatives based on well-known formalisms such as the Petri nets.
Optimal sharing of quantity risk for a coalition of wind power producers facing nodal prices
2012 American Control Conference (ACC)
IEEE Transactions on Smart Grid
In this paper, we propose a novel incentive based Demand Response (DR) program with a self report... more In this paper, we propose a novel incentive based Demand Response (DR) program with a self reported baseline mechanism. The System Operator (SO) managing the DR program recruits consumers or aggregators of DR resources. The recruited consumers are required to only report their baseline, which is the minimal information necessary for any DR program. During a DR event, a set of consumers, from this pool of recruited consumers, are randomly selected. The consumers are selected such that the required load reduction is delivered. The selected consumers, who reduce their load, are rewarded for their services and other recruited consumers, who deviate from their reported baseline, are penalized. The randomization in selection and penalty ensure that the baseline inflation is controlled. We also justify that the selection probability can be simultaneously used to control SO's cost. This allows the SO to design the mechanism such that its cost is almost optimal when there are no recruitment costs or atleast significantly reduced otherwise. Finally, we also show that the proposed method of selfreported baseline outperforms other baseline estimation methods commonly used in practice.
IEEE Transactions on Smart Grid
Sharing economy is a transformative socioeconomic phenomenon built around the idea of sharing und... more Sharing economy is a transformative socioeconomic phenomenon built around the idea of sharing underused resources and services, e.g. transportation and housing, thereby reducing costs and extracting value. Anticipating continued reduction in the cost of electricity storage, we look into the potential opportunity in electrical power system where consumers share storage with each other. We consider two different scenarios. In the first scenario, consumers are assumed to already have individual storage devices and they explore cooperation to minimize the realized electricity consumption cost. In the second scenario, a group of consumers is interested to invest in joint storage capacity and operate it cooperatively. The resulting system problems are modeled using cooperative game theory. In both cases, the cooperative games are shown to have non-empty cores and we develop efficient cost allocations in the core with analytical expressions. Thus, sharing of storage in cooperative manner is shown to be very effective for the electric power system.
Design of PID Controllers Using Multiobjective Genetic Algorithms
IFAC Proceedings Volumes
Distributed control of flexible demand using proportional allocation mechanism in a smart grid: Game theoretic interaction and price of anarchy
Sustainable Energy, Grids and Networks
Demand side management leveraging flexibility of electric loads is a promising approach to reduce... more Demand side management leveraging flexibility of electric loads is a promising approach to reduce peak demand and to maintain supply–demand balance in future power grids with large scale renewable penetration. Distributed control is an important tool used for managing the demand side. In this paper, we develop a distributed method for coordinated control of flexible loads. In an intra-day setting, based on the supply schedule of thermal generators and predicted supply of renewable generators, a central control authority sets up price to maximize social welfare. This can be done using proportional allocation mechanism assuming that the consumers are price takers. If the consumers are price anticipators, the corresponding situation is modeled using non-cooperative game theory and existence of Nash equilibrium is established. Selfish behavior of agents in such a game theoretic setup can reduce the efficiency of the overall system as compared to centralized control. In this paper, we are able to bound the efficiency loss for our game. The lower bound on the price of anarchy (PoA) for our game is found to be 0.75. For a non-cooperative game in a smart grid with flexible loads having different operating constraints and having utility functions that are non-separable with respect to time, this result is a new contribution to the demand response literature.
Identification of multivariable Hammerstein systems using rational orthonormal bases
Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187), 2000
ABSTRACT In this paper, a non iterative algorithm for the simultaneous identification of the line... more ABSTRACT In this paper, a non iterative algorithm for the simultaneous identification of the linear and nonlinear parts of multivariable Hammerstein systems is presented. The proposed algorithm is numerically robust, since it is based only on least squares estimation and singular value decomposition. Under weak assumptions on the persistency of excitation of the inputs, the algorithm provides consistent estimates even in the presence of coloured noise. Key in the derivation of the results is the use of rational orthonormal bases for the representation of the linear part of the system. An additional advantage of this is the possibility of incorporating prior information about the system in a typically black-box identification scheme. 1 Introduction In the last decades, many research activities have been carried out on modelling, identification, and control design of nonlinear systems. Many dynamical systems can be better represented by nonlinear models, which are able to describe the global be...
Developments in Control Theory towards Glocal Control
Design of controllers for parametric uncertain systems. A two-step approach using genetic algorithms
... Authors Alberto Herreros; Enrique Baeyens; Jose R. Peran. Identifier 10.3182/20020721-6-ES-19... more ... Authors Alberto Herreros; Enrique Baeyens; Jose R. Peran. Identifier 10.3182/20020721-6-ES-1901.00654. ... [11] Horn, J. (1997). Multicriterion Decision making. In: Handbook of Evolutionary Computation (Thomas Bäck, David Fogel and Zbigniew Michalewicz, Eds.). Vol. ...
a Combined SVM/OB-Based Wiener Model Identification Method
Mixed H2/H8 filtering
Int J Robust Nonlinear Contr, 1996
Identification of Nonlinear Systems using Orthonormal Bases
Energy-Aware Sensor Selection and Scheduling in Wireless Sensor Networks
Modelling, supervision and diagnosis of a manufacturing cell
EFTA 2003. 2003 IEEE Conference on Emerging Technologies and Factory Automation. Proceedings (Cat. No.03TH8696), 2000
Supervisory control and diagnosis of systems are having more importance in the manufacturing proc... more Supervisory control and diagnosis of systems are having more importance in the manufacturing process. There exist several frameworks for synthesis of supervisors and diagnosers for discrete event systems (DES). However, no general methodology applicable for any system and with an implementation orientation is universally accepted. Nevertheless, implementation is extremely important and one of the main goals for research in the
Identification of muitivariable Hammerstein systems using orthonormal bases
Identificación de sistemas
Proceedings of the 15th IFAC World Congress, 2002, 2002
In this paper, subspace-based algorithms for the simultaneous identification of the linear and no... more In this paper, subspace-based algorithms for the simultaneous identification of the linear and nonlinear parts of multivariable Hammerstein and Wiener models are presented. The proposed algorithms consist basically of two steps. The first one is a standard (linear) subspace algorithm applied to an equivalent linear system whose inputs (respectively outputs) are filtered (by the nonlinear functions describing the static nonlinearities) versions of the original inputs (respectively outputs). The second step consists of a 2-norm minimization problem which is solved via Singular Value Decomposition. Under weak assumptions, consistency of the estimates can be guaranteed. The performance of the proposed identification algorithms is illustrated through simulation examples.
Diagnosis of a manufacturing cell
ABSTRACT Not Available
Supervisory control of a manufacturing cell
ABSTRACT First Page of the Article
Modular design of supervisory controllers for reconfigurability
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Papers by Enrique Baeyens