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


Type
Conference Object
Change log
Authors
Patil, BV 
Ling, KV 
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.

Description
Keywords
Bernstein polynomials, Global optimization, Nonlinear model predictive control, Single machine infinite bus, Synchronous Generators, Excitation control
Journal Title
IFAC-PapersOnLine
Conference Name
IFAC World Congress, Toulouse, 2017.
Journal ISSN
2405-8963
2405-8963
Volume Title
50
Publisher
Elsevier BV
Sponsorship
National Research Foundation Singapore (via Cambridge Centre for Advanced Research and Education in Singapore (CARES)) (unknown)
National Research Foundation, Singapore.