CUED Publications database

Improved Bernstein Optimization Based Nonlinear Model Predictive Control Scheme for Power Systems

Patil, BV and Maciejowski, J and Ling, KV (2017) Improved Bernstein Optimization Based Nonlinear Model Predictive Control Scheme for Power Systems. In: IFAC World Congress, Toulouse, 2017., -- to -- pp. 537-544..

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Abstract

© 2017 This paper presents a improved Bernstein global optimization algorithm based model predictive control (MPC) scheme for the nonlinear systems. A new improvement in the Bernstein algorithm is the introduction of a box pruning operator, which during a branch-and-bound search, discard portions of the solution search space that do not contain global solution, thereby speeding up the algorithm. The applicability of this MPC scheme is demonstrated with a simulation studies on a nonlinear single machine infinite bus power system over a wide range of operating conditions. The simulation results show improvement in the system damping and settling time compared with the classical power system stabilizer and partial feedback linearization control schemes.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Subjects: UNSPECIFIED
Divisions: Div F > Control
Depositing User: Cron Job
Date Deposited: 14 Nov 2017 01:54
Last Modified: 24 Oct 2019 12:03
DOI: 10.1016/j.ifacol.2017.08.059