Title :
Enhancing the Electric System Stability using Predictive Control of Gas Turbines
Author :
Jurado, Francisco ; Acero, Naivlidad ; Echarri, A.
Author_Institution :
Dept. of Electr. Eng., Univ. of Jaen
Abstract :
Gas turbines can offer solutions to today´s energy situation as a supplement or support function to the conventional central generation and power system. Complimentary answers are needed to meet projected growth in new load and peak demand while providing power system stability, security and end-user power quality solutions. With distributes generation operating in parallel with the utility, stability has become an issue that is crucial to preserve critical functions. In this paper, a Hammerstein model of a gas turbine plant and its model predictive control (MPC) is presented. The model is suitable for use in power system stability studies. A MPC is designed for the gas turbine in order to improve system dynamic performance. The proposed model is tested on a simple distribution system
Keywords :
distributed power generation; gas turbine power stations; nonlinear control systems; power distribution control; power generation control; power system dynamic stability; predictive control; Hammerstein model; MPC design; electric power system stability; gas turbine plant; model predictive control; nonlinear systems; power distribution system; power system dynamic performance; Power generation; Power quality; Power system dynamics; Power system modeling; Power system security; Power system stability; Predictive control; Predictive models; System testing; Turbines; Gas turbines; modeling; nonlinear systems; power distribution; predictive control;
Conference_Titel :
Electrical and Computer Engineering, 2006. CCECE '06. Canadian Conference on
Conference_Location :
Ottawa, Ont.
Print_ISBN :
1-4244-0038-4
Electronic_ISBN :
1-4244-0038-4
DOI :
10.1109/CCECE.2006.277370
