Journal
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
Volume 20, Issue 6, Pages 6531-6558Publisher
SPRINGER
DOI: 10.1007/s13762-022-04426-y
Keywords
Renewable energy systems; Photovoltaic; Particle swarm optimization; Wind turbine; Adaptive control
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This paper presents a contribution to diversify the energy mix in Algeria by designing and modeling a large-scale hybrid photovoltaic-wind system. An innovative control approach using optimized controllers is proposed to maximize power generation from wind and solar energy resources.
The use of fossil energy for electricity production is an evident source of pollution, global warming and climate change. Consequently, researchers have been working to shift toward sustainable and clean energy by exploiting renewable an environmentally friendly resources such as wind and solar energies. On the other hand, energy security can only be achieved by considering multiple resources. Large-scale renewable energy power plants are a key solution for diversifying the total energy mix and ensuring energy security. This paper presents a contribution to diversify the energy mix in Algeria and help mitigate power shortages and improve grid performance. In particular, the paper aims at designing and modeling a large-scale hybrid photovoltaic-wind system that is grid connected. An innovative control approach using improved particle swarm optimized PI controllers is proposed to control the hybrid system and generate the maximum power from the available wind and solar energy resources. Furthermore, economic, environmental and feasibility studies of the project were conducted using HOMER software to assess the viability of the system and its contribution to reduce greenhouse gas emissions.
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