A comparative study of two meta-heuristic techniques for solar PV systems under partially shaded conditions
Author:
Affiliation:
1. Omar Al-Mukhtar University,Department of Electrical and Electronic Engineering,Al-Bayda,Libya
2. University of Derna,Faculty of Engineering,Department of Renewable and Sustainable Energy Engineering,Libya
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10169130/10169115/10169334.pdf?arnumber=10169334
Reference7 articles.
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3. Global MPPT based on flower pollination and differential evolution algorithms to mitigate partial shading in building integrated PV system
4. Flower pollination algorithm for global optimization;yang;International Conference on Unconventional Computing and Natural Computation,2012
5. Maximum power point tracking of PV system based cuckoo search algorithm; review and comparison;mosaad;Energy Procedia,2019
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Hybrid of Meta-Heuristic Techniques Based on Cuckoo Search and Particle Swarm Optimizations for Solar PV Systems Subjected to Partially Shaded Conditions;Solar Energy and Sustainable Development Journal;2024-03-30
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