Abstract

The main aim of present study is to optimize the availability of a turbine unit (TU) of steam turbine power plant (STPP). For this purpose, a mathematical model is developed using Markovian Birth-Death Process (MBDP) and Chapman-Kolmogorov differential equations derived for a proposed model. The analytical solution of mathematical model is derived for a particular case by considering exponential distribution for random variables associated with failure and repair rates. By using nature-inspired algorithm (NIA), namely genetic algorithm (GA), an effort is made to attain the global solution of the TU. The derived results are presented in tabular and graphical forms.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.