Semantic Scholar Open Access 2018 337 sitasi

Sizing methods and optimization techniques for PV-wind based hybrid renewable energy system: A review

Kamal Anoune M. Bouya Abdelali Astito A. Abdellah

Abstrak

Abstract Solar and wind energy are considered as promising electrical generating sources. These renewable energies are omnipresent, with free access, and a friendly environmental impact. Their integration remains technically and economically advantageous for electrical generation in isolated areas (IS). In several cases, the separate use of solar and wind energy sources may result in considerable over-sizing, which makes the single renewable energy sources in implementation very costly. It is found that the use of one of the optimization sizing techniques could help to guarantee the maximum power reliability and the minimum system cost for the future hybrid implementation. Moreover, a remarkable interest is manifesting for the use of solar and wind renewable energy sources (RES), which provide a realistic form of electrical generation in isolated areas. This paper provides an updated literature review, of the most applied method and techniques used in sizing and optimization of PV-Wind based hybrid system (PWHS) for an isolated area aiming to reach the best compromise between power reliability and hybrid system costs. Furthermore, this work discusses a comparison of the most common topologies used for the implementation of PWHS, then, presents a mathematical model of the hybrid system components with an emphasis on the importance of power reliability and system cost, Finally, provides an extensive analysis of software tools and algorithm approach used in sizing optimization.

Topik & Kata Kunci

Penulis (4)

K

Kamal Anoune

M

M. Bouya

A

Abdelali Astito

A

A. Abdellah

Format Sitasi

Anoune, K., Bouya, M., Astito, A., Abdellah, A. (2018). Sizing methods and optimization techniques for PV-wind based hybrid renewable energy system: A review. https://doi.org/10.1016/J.RSER.2018.05.032

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Informasi Jurnal
Tahun Terbit
2018
Bahasa
en
Total Sitasi
337×
Sumber Database
Semantic Scholar
DOI
10.1016/J.RSER.2018.05.032
Akses
Open Access ✓