- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
TURBO GENERATOR SYSTEM IDENTIFICATION USING GENETIC ALGORITHM | ||
| Journal of Engineering and Sustainable Development | ||
| Article 1, Volume 20, Issue 6, 2016, Pages 12-31 | ||
| Authors | ||
| Sahar R. Alsakini; Ahmed T. Alobaidi; Ahmed J. Sultan | ||
| Abstract | ||
| the turbogenerator is one of the mean important parts of the thermal power station, which is the most famous used as a generation power plants since the serving of electricity till now. The turbogenerator unit behavior is non- linear and complicated system, for this causation the identification models are use for best and close optimization to have the highest and accurate controller. In this paper we will used the conjunction of data by intelligence techniques which called "Genetic algorithm" to have the optimum behavior without using complex mathematical equations. The result we have from genetic algorithm is showing the capably to reach highest accuracy in system work identity, which are depend on a real data registered from no-load in the second unit of Mussiab thermal power station. | ||
| Keywords | ||
| Turbogenerator; genetic algorithm; Optimization identification; Chromosome; Crossover point | ||
|
Statistics Article View: 33 PDF Download: 2 |
||