Modeling and Sizing of the Hybrid Renewable System Opting Genetic Algorithm-Reference-Cited by-同舟云学术

Modeling and Sizing of the Hybrid Renewable System Opting Genetic Algorithm

Published:2023 Issue: Volume: Page:535-563
ISSN:1876-1100
Container-title:Power Quality in Microgrids: Issues, Challenges and Mitigation Techniques
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Author:

Namrata Kumari,Kumar Nishant,Sekhar Ch,Gupta Ramjee Prasad,Salkuti Surender Reddy

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-2066-2_25

Reference27 articles.

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2. Qazi A et al (2019) Towards sustainable energy: a systematic review of renewable energy sources, technologies, and public opinions. IEEE Access 7:63837–63851. https://doi.org/10.1109/ACCESS.2019.2906402

3. Lu X, Qu Y, Wang Y, Qin C, Liu G (2018) A comprehensive review on hybrid power system for PEMFC-HEV: issues and strategies. Elsevier Ltd. https://doi.org/10.1016/j.enconman.2018.06.065

4. Li F, Sun B, Zhang C, Liu C (2019) A hybrid optimization based scheduling strategy for combined cooling, heating, and power system with thermal energy storage. Energy 188:115948. https://doi.org/10.1016/j.energy.2019.115948

5. Jung W, Jeong J, Kim J, Chang D (2020) Optimization of hybrid off-grid system consisting of renewables and Li-ion batteries. J Power Sources 451:227754. https://doi.org/10.1016/j.jpowsour.2020.227754

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