Reference
M. D. Doan, T. Keviczky, and B. De
Schutter, "Application of distributed and hierarchical model predictive control
in hydro power valleys,"
Proceedings of the 4th IFAC Nonlinear
Model Predictive Control Conference, Noordwijkerhout, The Netherlands,
pp. 375-383, Aug. 2012.
Abstract
We provide an overview on the application of distributed and hierarchical model
predictive control (MPC) algorithms for the power reference tracking problem of
the HD-MPC Hydro Power Valley (HPV) system. Serving as a case study for
distributed and hierarchical MPC, the HPV benchmark has various challenging
features, including nonlinear, non-smooth, and coupled cost function and
nonlinear coupled subsystem dynamics. We propose different approaches to
address these challenges and summarize our recently developed hierarchical and
distributed MPC frameworks that could be applied to the HPV control problem. A
comparison of distributed MPC based on a state-of-the-art distributed
optimization method with centralized and decentralized MPC is provided via
numerical simulations. It is shown that by using a dynamic division of total
power reference to deal with the coupling in the cost function and a specific
formulation of the dual optimization problem, distributed MPC achieves almost
the same tracking performance as centralized MPC, with the advantage of being
implementable in a distributed setting.
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BibTeX
@inproceedings{DoaKev:12-030,
author = {Doan, Minh Dang and Keviczky, Tam{\'a}s and De Schutter, Bart},
title = {Application of Distributed and Hierarchical Model Predictive
Control in Hydro Power Valleys},
booktitle = {Proceedings of the 4th IFAC Nonlinear Model Predictive Control
Conference},
address = {Noordwijkerhout, The Netherlands},
pages = {375--383},
month = aug,
year = {2012}
}