Review of Reliability and Availability Evaluation of MPPGCL Sirmour Hydropower Station using Markov Modelling

Abstract

Abstract
Water is one of the best renewable energy sources available, as we are almost totally dependent on the availability of depleting fossil fuels. Being more reliable and cost effective, hydel energy is attracting more investors and entrepreneurs for investing and establishing hydro power plant. Since maintenance and operation of a power plant is very challenging and complicated process, calculating and analysing its compatibility and reliability is very important. This paper introduces Markov reliability model for MPPGCL Sirmour, India by studying the operational data and analysis of all parts of generating unit of the power plant for period of 2010–2015. The availability and reliability of individual unit of power plant is evaluated by taking into account different indices, namely failure rate (λ), repair rate (μ), MTTR, MTTF, MTBF through data collection and tabulating all types of failures for separate analysis. By these evaluations and analyses we can improve reliability of all the components of each unit of power plant. The error of a single sub-unit can affect the annual performance and efficiency of power generation. Thus, Markov modelling technique will help to decrease repair cost and identify sensitive equipment to be replaced. And probably errors can be removed that make more power available at low cost as per given input, and allow a fair step towards energy independence of local community.
Keywords: Hydro power plant, performance, failure and repair rate, Markov modelling, renewable energy

Cite this Article
Ankit Singh, Tiwari BK. Review of Reliability and Availability Evaluation of MPPGCL Sirmour Hydropower Station using Markov Modelling. Research and Reviews: Journal of Physics. 2016; 5(1): 30–37p.