Title :
Predictive control of microturbines using Hammerstein models
Author :
Jurado, Francisco ; Ortega, Manuel ; Carpio, José
Author_Institution :
Dept. of Electr. Eng., Jaen Univ.
Abstract :
Microturbines can be used for power generation in distribution systems. During normal operation this microturbine experiences large changes in ambient temperature, pressure, and power output level. For each of these variations the engine dynamics change in a significant nonlinear manner. Model predictive control is a control strategy that uses a model of the system to predict the response over a future interval. For microturbine control, this means that physical operation limits can be admitted into the optimization leading to optimal control of changes in operating point even when constraints are attained
Keywords :
optimal control; power distribution control; power generation control; predictive control; turbines; Hammerstein models; ambient temperature; distribution systems; engine dynamics; model predictive control; optimal control; physical operation limits; power generation; power output level; predictive microturbine control; Autoregressive processes; Constraint optimization; Engines; Linear systems; Nonlinear dynamical systems; Optimal control; Power system modeling; Predictive control; Predictive models; Weight control;
Conference_Titel :
Electrotechnical Conference, 2006. MELECON 2006. IEEE Mediterranean
Conference_Location :
Malaga
Print_ISBN :
1-4244-0087-2
DOI :
10.1109/MELCON.2006.1653237
