Turbine governor performance improvement in a power generation plant

dc.contributor.authorTalah, Djamila
dc.contributor.authorBentarzi, Hamid(Directeur de thèse)
dc.date.accessioned2022-12-26T09:02:05Z
dc.date.available2022-12-26T09:02:05Z
dc.date.issued2022
dc.description121 p. : ill. ; 30 cmen_US
dc.description.abstractGoverning system is an important control system in the power plant, it regulates the turbine speed, power and hence the grid frequency. Steady state and dynamic performance of the power system depends on the power plant response capabilities in which governing system plays a key role. The aim of this project is to enhance this performance by improving the governing system using recent control techniques. Evidently, a simulation model based on the dynamic mathematical and thermodynamic equations will be considered. The performance of the governing system will be evaluated on the basis of the simulation results. A Combined Cycle Power Generation Plant is considered and a simulation model as well as a governing system model is developed and implemented in order to be used for verifying the performance system. The Modelica language is used as development software tool which is an objectoriented equation-based modeling language that allows for very detailed and consistent representation of system dynamics. Real data collected from the Combined Cycle Power Plant of Ras_Djinet, is exploited in the simulation. The simulation is dealt in Modelica language, and the simulation results are compared to the real data and discusseden_US
dc.identifier.urihttps://dspace.univ-boumerdes.dz/handle/123456789/10731
dc.language.isoenen_US
dc.publisherUniversité M'Hamed Bougara : Institut de génie électrique et électroniqueen_US
dc.subjectTurbineen_US
dc.subjectGoverning systemen_US
dc.subjectModelicaen_US
dc.subjectPower generation plant simulatoren_US
dc.titleTurbine governor performance improvement in a power generation planten_US
dc.typeThesisen_US

Files

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections