NDLI: Distributed economic model predictive control of networks in competitive environments

Content Provider	IEEE Xplore Digital Library
Author	Driessen, P.A.A. Hermans, R.M. van den Bosch, P.P.J.
Copyright Year	2012
Description	Author affiliation: Department of Electrical Engineering, Control Systems Group, Eindhoven University of Technology, P.O. Box 513, 5600 MB, The Netherlands (Driessen, P.A.A.; Hermans, R.M.; van den Bosch, P.P.J.)
Abstract	This paper addresses the control of large-scale networks of dynamical systems with a certain global objective that needs to be pursued through the actions of individual competing agents. In particular, we consider the stabilization of a specific network output at zero. This is challenging as each agent is interested only in its own objectives such as the maximization of its economic profit. We introduce a control scheme based on the economic Model Predictive Control (MPC) theory to optimize economic performance of the competing agents. The theory is then modified to take global, network-wide objectives into account as well. Additionally, it is shown that the control scheme can be distributed between the agents using the dual decomposition technique such that exchange of confidential information among these competitors is not required. Simulation results for a power system example illustrate the potential of the control strategy in terms of ensuring stable and economical operation of networks in competitive environments.
Starting Page	266
Ending Page	271
File Size	315703
Page Count	6
File Format	PDF
ISBN	9781467320658
ISSN	07431546
e-ISBN	9781467320665
e-ISBN	9781467320641
DOI	10.1109/CDC.2012.6426492
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Economics Steady-state Cost function Generators Multiprocessor interconnection Lyapunov methods
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Modeling and Simulation

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