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Modelling and reviewing the reliability and multi-objective optimization of wind-turbine system and photovoltaic panel with intelligent algorithms
Author(s) -
Reza Alayi,
Mehdi Jahangiri,
John William Grimaldo Guerrero,
Ravil Akhmadeev,
Rustem Shichiyakh,
Sara Abbasi zanghaneh
Publication year - 2021
Publication title -
clean energy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.593
H-Index - 8
eISSN - 2515-4230
pISSN - 2515-396X
DOI - 10.1093/ce/zkab041
Subject(s) - photovoltaic system , renewable energy , wind power , automotive engineering , turbine , variable renewable energy , reliability (semiconductor) , environmental science , diesel generator , electric potential energy , wind speed , computer science , solar energy , electric power system , process engineering , power (physics) , diesel fuel , engineering , energy (signal processing) , meteorology , electrical engineering , mechanical engineering , mathematics , physics , statistics , quantum mechanics
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.

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