Reliability Evaluation of Grid Connected Roof Top Solar Photovoltaic Power Plant Using Markov Model Approach

Abstract

Reliability of the solar power plant depends on its performance and economics factor compared to the conventional fueled power plants. In this paper, reliability performance assessment of grid connected roof top solar photovoltaic power plant (GCRTSPP) are presented at site location 12.0950° N, 75.5451° E) by considering various operating factors of subcomponents of solar photovoltaic panels, diode, capacitor and controller using Markov model approach. Critical stress factors are identified and are improved upon to enhance the system reliability. The performance of the solar photovoltaic array and the subcomponent of GCRTSPP have been examined with the sensitivity results. Also, sensitivity analysis of failure rate of these components with respect to stress factors is performed and critical stress factors are identified. Pareto analysis as a tool, reliability studies of grid connected solar photovoltaic system have been carried out to compute the highest failure rate of component. It is found that electronic controller and diode is more sensitive item compared to solar photovoltaic panels and capacitor. These components failure rate sensitivity analysis with respect to stress factors is performed. The reliability on standalone and grid connected photovoltaic system also compared. The critical stress factors of the components are identified. Artificial neural network (ANN) and machine learning programme (MLP) proposed for further study.