Modelling and reviewing the reliability and multi-objective optimization of wind-turbine system and photovoltaic panel with intelligent algorithms

Author:

Alayi Reza1ORCID,Jahangiri Mehdi2,Guerrero John William Grimaldo3ORCID,Akhmadeev Ravil4,Shichiyakh Rustem Adamovich5,Zanghaneh Sara Abbasi6

Affiliation:

1. Department of Mechanics, Germi Branch, Islamic Azad University, Germi, Iran

2. Department of Mechanical Engineering, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran

3. Departamento de Energía, Universidad de la Costa, Barranquilla, Colombia

4. Plekhanov Russian University of Economics, Stremyanny lane,36, Moscow, 117997, Russian Federation

5. Department of Management, Candidate of Economic Sciences, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russian Federation

6. Department of Energy Engineering, Energy Institute of Higher Education, Saveh, Iran

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.

Publisher

Oxford University Press (OUP)

Subject

Management, Monitoring, Policy and Law,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Environmental Engineering

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