Review on sizing and management of stand-alone PV/WIND systems with storage.

Heliyon

Department of Renewable Energy, National Advanced School of Engineering of Maroua, University of Maroua, Cameroon.

Published: September 2024

AI Article Synopsis

  • Extending the public electricity grid to rural areas can be costly and unprofitable, leading to the increased use of autonomous solar and wind power systems instead.
  • * These renewable systems often rely on battery storage to address their intermittency issues, but they remain expensive and inaccessible for many, especially in Africa.
  • * The study reviews various energy storage technologies and highlights the dominance of electrochemical batteries in stand-alone PV-wind systems while noting a shift towards artificial intelligence for optimal sizing and management due to traditional methods' limitations.

Article Abstract

Extending the public electricity grid to rural or peri-urban areas is sometimes very costly and unprofitable due to their remoteness, low population density and sometimes difficult accessibility. In view of this, and in the concern of a sustainable development, the autonomous PV and/or wind power systems is increasingly used. However, these fluctuating source systems remain unreliable due especially to their intermittent nature, what justifies the integration of battery storage systems to them. They are also still expensive, particularly in the African context, limiting their access to the greatest number of the population. In addition to these problems of cost and reliability, the issue of optimal sizing of such systems is essential. In this paper, energy storage technologies, performance criteria, basic energy production and storage models, configuration types, sizing and management techniques discussed in the literature for the study of stand-alone solar and/or wind power systems in isolated sites are reviewed. The findings of the present study reveals that electrochemical battery is the main technology used for energy storage in stand-alone PV-wind systems due in particular to their maturity compared to the other storage technologies. However, it also shows that while batteries are the most widely used energy storage technology for solar and wind power systems, they are still expensive. The paper also revealed that traditional methods of optimal sizing and management of autonomous solar and wind power generation systems are being used less and less, in favor of artificial intelligence methods, due mainly to their limited flexibility and inability to solve complex problems.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11458962PMC
http://dx.doi.org/10.1016/j.heliyon.2024.e38080DOI Listing

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