Improved Bernstein Optimization Based Nonlinear Model Predictive Control Scheme for Power Systems
IFAC World Congress, Toulouse, 2017.
MetadataShow full item record
Patil, B., Maciejowski, J., & Ling, K. (2017). Improved Bernstein Optimization Based Nonlinear Model Predictive Control Scheme for Power Systems. IFAC-PapersOnLine, 50 (1), 537-544. https://doi.org/10.1016/j.ifacol.2017.08.059
© 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.
Bernstein polynomials, Global optimization, Nonlinear model predictive control, Single machine infinite bus, Synchronous Generators, Excitation control
National Research Foundation, Singapore.
National Research Foundation Singapore (via Cambridge Centre for Advanced Research and Education in Singapore (CARES)) (unknown)
External DOI: https://doi.org/10.1016/j.ifacol.2017.08.059
This record's URL: https://www.repository.cam.ac.uk/handle/1810/287162
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