文章基本信息

标题：Improved Bernstein Optimization Based Nonlinear Model Predictive Control Scheme for Power Systems
本地全文：下载
作者：Bhagyesh V. Patil ; Jan Maciejowski ; K.V. Ling 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：537-544
DOI：10.1016/j.ifacol.2017.08.059
语种：English
出版社：Elsevier
摘要：AbstractThis 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.
关键词：KeywordsBernstein polynomialsGlobal optimizationNonlinear model predictive controlSingle machine infinite busSynchronous GeneratorsExcitation control