Stochastic Analysis and Performance Evaluation of a Complex

This paper present the stochastic analysis and performance evaluation of the thermal power plant which serve as an improvement of Vora 2011, by the use of performance evaluation using probabilistic approach. The research study consists mainly three sub-systems namely boiler, super heater and re-heater connected in series configuration with two type of preventive maintenance ie offline and online. The analysis shows that as failure rate increases, the availability decreases and as repair rate increases, the availability of the system increases and vice-versa. Performance matrices shows that Super heater subsystem is the most critical subsystem among the three subsystems in the power generation plant as far as maintenance is concern, as its availability percentage is the least among the three subsystem and boiler subsystem is having the higher percentage of availability with about 99 % level. The results of the analysis are found beneficial to the plant management for the availability analysis of the system