4.3 Article

Reliability based modeling of the performance of solar plants with multistate PV modules

Journal

HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS
Volume 51, Issue 2, Pages 606-617

Publisher

HACETTEPE UNIV, FAC SCI
DOI: 10.15672/hujms.956136

Keywords

Photovoltaic (PV) system; solar power; multistate system; reliability

Funding

  1. Higher Education Council of Turkey (YOK) 100/2000 PhD scholarship programme
  2. Scientific and Technological Research Council of Turkey (TUBITAK) 2211/A national PhD scholarship programme

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This study presents a model for solar power systems that takes into account the various working conditions and performance levels of photovoltaic modules, as well as the dependency between modules. Numerical examples using Beta and Weibull distributions are conducted to evaluate the reliability and power generation capability of solar plants in different regions.
Solar energy is widely used as a renewable energy source in the world. Photovoltaic mod -ules are the main components of a photovoltaic system to generate the solar power from the solar radiation. The photovoltaic modules may have multistate working conditions and different performance levels depending on the solar radiation. Each component can be in different states, namely, complete failure, partial working, and perfect functioning. In this study, we present a model for solar power systems with PV modules having various levels of operational performance. We develop a reliability model for the system's power regarding the m threshold value that is the minimum required total performance level for the system. This model reflects the performance levels of PV modules and working prob-abilities of modules. The problem is considered under different conditions regarding the dependency of two types of multistate PV modules. Two numerical examples are also con-ducted to evaluate the reliability and power generated by two solar plants located in two different regions. Beta and Weibull distributions are used for the numerical calculations to differ solar radiation regimes in the regions.

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