Supervisory Nonlinear MPC for Emergency Voltage Control Using Pattern Search

Reference

R.R. Negenborn, S. Leirens, B. De Schutter, and J. Hellendoorn, "Supervisory Nonlinear MPC for Emergency Voltage Control Using Pattern Search," Control Engineering Practice, vol. 7, no. 7, pp. 841-848, July 2009.

Abstract

The design of a higher-layer controller using model predictive control (MPC) is considered. The higher-layer controller uses MPC to determine set-points for controllers in a lower control layer. In this paper the use of an object-oriented model of the system for making predictions is proposed. When employing such an object-oriented prediction model the MPC problem is a nonlinear, non-smooth optimization problem, with an objective function that is expensive to evaluate. Multi-start pattern search is proposed as approach to solving this problem, since it deals effectively with the local minima and the non-smoothness of the problem, and does not require expensive estimation of derivatives. Experiments in an emergency voltage control problem on a 9-bus dynamic power network show the superior performance of the proposed multi-start pattern search approach when compared to a gradient-based approach.

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Bibtex entry

@article{NegLei:07-025,
author={R.R. Negenborn and S. Leirens and B. {D}e Schutter and J. Hellendoorn},
title={Supervisory Nonlinear {MPC} for Emergency Voltage Control Using Pattern Search},
journal={Control Engineering Practice},
volume={7},
number={7},
pages={841--848},
month=jul,
year={2009},
doi={10.1016/j.conengprac.2009.02.003}
}

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