Application of model based predictive control to a pumped storage hydroelectric plant
Year: 2005
Type: dissertation
Abstract: This thesis describes the development of a Predictive Control to SISO and multivariable linear and nonlinear models of Dinorwig pumped storage hydroelectric power station. \nThe results show that Generalised Predictive Control (GPC) offers significantly better performance across the plant's operating range when compared with classic PI controllers. The GPC controller produces a faster response when the station is operating with a single unit while preserving stability as the operating conditions change when \nmultiple units are on-line. \nInclusion of constraints in the GPC controller yields a fast, well-damped response in the common case when only a single Unit is in operation, without compromising stability \nwhen multiple Units are on-line. Simulation has also shown that improved power delivery is obtained when the plant is operated in frequency control mode. \nIn the final part of the work a Mixed Logical Dynamical (MLD) predictive control was developed and applied to a MIMO nonlinear elastic model of Dinorwig. The results \nshow that MLD predictive control is faster and less sensitive than the constrained GPC. \nThe MLD predictive control can also be integrated with high-level plant functions.
Author: Germán Ardul Muñoz Hernández
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W1631867621