RT Journal Article
T1 Adaptive model predictive control design for the speed and temperature control of a V94.2 gas turbine unit in a combined cycle power plant
A1 Haji Haji, Vahab
A1 Fekih, Afef
A1 Monje Micharet, Concepción Alicia
A1 Asfestani, Ramin Fakhri
AB This paper proposes an adaptive model predictive control (AMPC) approach with online parameterestimation for a V94.2 gas turbine mounted in the Damavand combined cycle power plant (CCPP). TheAMPC is designed to simultaneously maintain the speed and temperature responses of the gas turbinewithin their desired levels in the presence of frequency drop or change in load demand. It implements anonline parameter estimation and adaptive mechanism to enable the model parameters to follow anychange in the V94.2 gas turbine power plant (GTPP) model and provide the best control performancepossible. The effectiveness of the AMPC approach is assessed using an estimated model of a V94.2 gasturbine mounted in the Damavand CCPP. Additional analysis is also performed via a comparison studyencompassing a classical MPC, H∞, and m   synthesis robust control strategies and considering referencetracking performance, transient and steady-state responses, disturbance rejection capabilities, androbustness to parameter variations. The obtained results confirmed the effectiveness of the proposedapproach in improving the robust stability and dynamics of the V94.2 GTPP in the presence of measurement noise, frequency disturbance, and unmodeled power plant dynamics along with its superiorperformance in terms of tracking capability and disturbance rejection properties.
PB Elsevier
SN 0360-5442
YR 2020
FD 2020-09-15
LK https://hdl.handle.net/10016/34048
UL https://hdl.handle.net/10016/34048
LA eng
DS e-Archivo
RD 1 sept. 2024