Designing an Optimized Hybrid Renewable Energy System in North-West of Iran to Reach High Efficiency
Subject Areas : journal of Artificial Intelligence in Electrical Engineering
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Keywords: Algorithm of Particle Swarm, Renewable Energy, Wind Turbine, Hybrid Energy System, Photovoltaic.,
Abstract :
Nowadays, the use of renewable energy sources is increasing rapidly due to the fatalities of fossil fuels and the numerous barriers to the expansion and development of centralized power plants and the creation of transmission lines. Among renewable energies, wind and solar energy are sources of high potential for power generation. A hybrid energy system is preferable for isolated and remote systems such as villages in desert areas that are far away from a power system. Hybrid energy systems are one of the most suitable options for reducing fossil fuel dependence, which are available through various sources of energy production such as wind and solar radiation. In this paper, after introducing the system components, modeling and simulation of hybrid system are carried out. For this purpose, the simulation of a hybrid system with the use of information on wind turbines, solar cells, micro turbines, hydrogen storage and converters and the cost per kilowatt of energy is accomplished and the best combination economically and reliably to provide continuous energy is provided according to load specifications in Sambaran Area in Marand- East Azarbaijan, Iran . In this paper, an evolutionary algorithm of particle swarm is used to perform optimization.
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