Reliability Evaluation of Grid Connected Roof Top Solar Photovoltaic Power Plant Using Markov Model Approach
- PDF / 886,729 Bytes
- 8 Pages / 612 x 792 pts (letter) Page_size
- 91 Downloads / 191 Views
T COMMUNICATIONS
Reliability Evaluation of Grid Connected Roof Top Solar Photovoltaic Power Plant Using Markov Model Approach K. K. Rajua and M. Eswaramoorthyb, * aDepartment
of Mechanical Engineering, Vimal Jyothi Engineering College, Chemperi, Kannur, Kerala, India School of Mechanical Engineering, Shri Mata Vaishno Devi University, Katra, J&K, India *e-mail: [email protected]
b
Received December 2, 2017; revised January 24, 2019; accepted May 28, 2020
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. Keywords: Markov model, solar PV power plant, reliability analysis DOI: 10.3103/S0003701X2004009X
NOMENCLATURE MTBF
Mean time between failures
MOSFET Metal oxide semiconductor field effect transistor λsystem
System rate
λp
Actual failure rate
λb
Listed failure rate
σa
Stress factors to device power rating
σc
Stress factors to the capacitance value
σe
Stress factors to the operational environment
σq
Stress factors to the quality of component
σs
Stress factors to the quality of component
σt
Reverse voltage index factor of diode
σv
Stress factors to temperature and capacitor voltage index factor
σq
Quality stress factor
INTRODUCTION The rapid growth of industrial sector, commercial sector, government sector and population needs more energy demands, it consumption of fossil fuels to meet the power demands with additional costs, global warming, nature resource depletion an alternate solution is grid connected roof top solar photovoltaic power plant (GCRTSPP) [1]. GCRTSPP have the benefits of being carbon fuel-less, green and clean energy conversion, scalable in size, free of geographical restrictions,
Data Loading...