A Maximum Power Point Tracking Method Using a Hybrid PSO and Grey Wolf Optimization Algorithm-Reference-Cited by-同舟云学术

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A Maximum Power Point Tracking Method Using a Hybrid PSO and Grey Wolf Optimization Algorithm

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC)
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Author:

Pervez Imran,Malick Ifham H.,Tariq Mohd,Sarwar Adil,Zaid Mohd

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8964256/8976447/08976741.pdf?arnumber=8976741

Cited by 5 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. High performance adaptive maximum power point tracking technique for off-grid photovoltaic systems;Scientific Reports;2021-10-14

2. An Improved Heap-Based Optimizer for Optimal Design of a Hybrid Microgrid Considering Reliability and Availability Constraints;Sustainability;2021-09-18

3. A Novel Hybrid-HHOPSO Algorithm Based Optimal Compensators of Four-Layer Cascaded Control for a New Structurally Modified AC Microgrid;IEEE Access;2021

4. AN IMPROVED GREY WOLF OPTIMIZATION TECHNIQUE FOR ESTIMATION OF SOLAR PHOTOVOLTAIC PARAMETERS;International Journal of Power and Energy Systems;2021

5. High performance for hybrid GSA–PSO algorithm;SEVENTH INTERNATIONAL SYMPOSIUM ON NEGATIVE IONS, BEAMS AND SOURCES (NIBS 2020);2021

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