MARKOV CHAIN MODELING OF PERFORMANCE DEGRADATION OF PHOTOVOLTAIC SYSTEM
Journal Title: International Journal of Computer Science and Management Studies (IJCSMS) www.ijcsms.com - Year 2012, Vol 12, Issue 1
Abstract
Modern probability theory studies chance processes for which the knowledge of previous outcomes influence predictions for future experiments. In principle, when a sequence of chance experiments, all of the past outcomes could influence the predictions for the next experiment. In Markov chain type of chance, the outcome of a given experiment can affect the outcome of the next experiment. The system state changes with time and the state X and time t are two random variables. Each of these variables can be either continuous or discrete. Various degradation on photovoltaic (PV) systems can be viewed as different Markov states and further degradation can be treated as the outcome of the present state. The PV system is treated as a discrete state continuous time system with four possible outcomes, namely, s1 : Good condition, s2 : System with partial degradation failures and fully operational, s3 : System with major faults and partially working and hence partial output power, s4 : System completely fails. The calculation of the reliability of the photovoltaic system is complicated since the system have elements or subsystems exhibiting dependent failures and involving repair and standby operations. Markov model is a better technique that has much appeal and works well when failure hazards and repair hazards are constant. The usual practice of reliability analysis techniques include FMEA((failure mode and effect analysis), Parts count analysis, RBD ( reliability block diagram ), FTA( fault tree analysis ) etc. These are logical, boolean and block diagram approaches and never accounts the environmental degradation on the performance of the system. This is too relevant in the case of PV systems which are operated under harsh environmental conditions. This paper is an insight into the degradation of performance of PV systems and presenting a Markov model of the system by means of the different states and transitions between these states.
Authors and Affiliations
E. Suresh Kumar , Dhiren kumar Behera , Asis Sarkar
Keywords
Related Articles
- EP ID EP103626
- DOI -
- Views 120
- Downloads 0
DISASTER RECOVERY OF DATA BY USING DATA GUARD
Oracle Data Guard is the management, monitoring, and automation software infrastructure that creates, maintains, and monitors one or more standby databases to protect enterprise data from failures, disasters, errors, and...
Impact of Foreign Direct Investment on Retail Industry of the Indian Economy
The Indian retail sector, particularly organized retail, is still under-developed and in a nascent stage and that, therefore, it is important that the domestic retail sector is allowed to grow and consolidate first, befo...
An Approach to Optimize QOS Routing Protocol Using Genetic Algorithm in MANET
Quality of Service support for Mobile Ad hoc Networks is an exigent task due to dynamic topology and limited resource. To support QoS, the link state information such as delay, bandwidth, jitter, cost, error rate and no...
A Survey on Security Issues in Mobile Ad-hoc Networks
Current technologies and security advances have made networks systems and applications very popular and widely used. The pervasive and practical aspects of wireless Mobile Ad Hoc Networks (MANET) made them very popular a...
Awareness of Open Source Software (OSS): Promises, Reality and Future
Open source is a development method for software that harnesses the power of distributed peer review and transparency of process. The Open Source Initiative Approved License trademark and program creates a nexus of trus...