Modelling and reviewing the reliability and multi-objective optimization of wind-turbine system and photovoltaic panel with intelligent algorithms
Reza Alayi, Mehdi Jahangiri, John William Grimaldo Guerrero, Ravil Akhmadeev, Rustem Shichiyakh, Sara Abbasi zanghaneh
Abstract
Abstract One of the options for non-dependence on fossil fuels is the use of renewable energy, which has not grown significantly due to the variable nature of this type of energy. The combined use of wind and solar energy as energy sources can be a good solution to the problem of variable energy output. Therefore, the purpose of this research is to model a combination of the wind-turbine system and photovoltaic cell, which is needed to investigate their ability to supply electrical energy. To determine this important power production, real data of solar-radiation intensity and wind are used and, in modelling photovoltaic cells, the effects of ambient temperature are also considered. In order to generalize the studied system in all dimensions, different scenarios have been considered. According to the amount of electrical power generated, during the evaluation of these scenarios, two economic parameters, namely the selected scenario of a wind/solar system with diesel-generator support, was determined.