Title :
Probabilistic modeling of solar power systems
Author :
Safie, Fayssal M.
Author_Institution :
NASA Marshall Space Flight Center, Huntsville, AL, USA
Abstract :
The author presents a probabilistic approach based on Markov chain theory to model stand-alone photovoltaic power systems and predict their long-term service performance. The major advantage of this approach is that it allows designers and developers of these systems to analyze the system performance as well as the battery subsystem performance in the long run and determine the system design requirements that meet a specified service performance level. The methodology presented is illustrated by using data for a radio repeater system for the Boston, Massachusetts, location
Keywords :
Markov processes; life testing; photovoltaic power systems; probability; reliability; solar power stations; Boston; Markov chain theory; Massachusetts; battery subsystem performance; long-term service performance; probabilistic approach; radio repeater system; service performance level; solar power systems; stand-alone photovoltaic power systems; Batteries; Costs; NASA; Photovoltaic systems; Power system analysis computing; Power system dynamics; Power system modeling; Power system reliability; Power system simulation; Solar energy;
Conference_Titel :
Reliability and Maintainability Symposium, 1989. Proceedings., Annual
Conference_Location :
Atlanta, GA
DOI :
10.1109/ARMS.1989.49639
