Energy output estimation of hybrid Wind-Photovoltaic power system using statistical distributions

Abstract EN

In this paper, an estimation of the energy production of stand-alone hybrid wind turbine-photovoltaic system in southern Tunisia is studied.

Energy estimation using probability distribution functions is applied.

Three different probability density functions were used in this study : Weibull, Beta, and Log-normal.

The climatic conditions for Djerba Island (Southern Tunisia) were used.

The design of the hybrid system architecture according to all the characteristics of the studied site is presented.

Monthly average hybrid energy production is estimated in the DC bus including the global losses and taking into account the stochastic nature of wind speed and solar irradiance.

The power loss models involved in the hybrid system converters are investigated.

Capacity factors of the wind turbine and photovoltaic station are presented.

The obtained results show that the integration of all losses and using the statistical distributions leads to a better energy estimation taking into account all the characteristics of the southern Tunisia site.