Title :
Optimization of micro-turbine generation control system using genetic algorithm
Author :
Alizadeh, S.M. ; Sedighizadeh, M. ; Arzaghi-Haris, D.
Author_Institution :
Islamic Azad Univ., Saveh, Iran
fDate :
Nov. 29 2010-Dec. 1 2010
Abstract :
This paper presents a dynamic modeling and simulation of a high speed single shaft micro-turbine generation (MTG) system for grid connected operation and shows genetic algorithm (GA) role in improvement of control system operation. The model is developed with the consideration of the main parts including: compressor-turbine, permanent magnet (PM) generator, three phase bridge rectifier and inverter. The simulation results show the capability of Genetic Algorithm for controlling MTG system. The model is developed in Matlab / Simulink.
Keywords :
distributed power generation; genetic algorithms; optimisation; power generation control; turbogenerators; MTG generation; Matlab-Simulink; PM generator; compressor-turbine; genetic algorithm; grid connected operation; microturbine generation control system optimisation; permanent magnet generator; three phase bridge rectifier; Distributed generation; Genetic Algorithm; Inverter; Micro-turbine;
Conference_Titel :
Power and Energy (PECon), 2010 IEEE International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-8947-3
DOI :
10.1109/PECON.2010.5697650
