Fast Convergence Modified Cuckoo Search Algorithm to Pursue String PV Modules Maximum Power Point under Partial Shading Conditions
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9477444/9477648/09477660.pdf?arnumber=9477660
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. A Powerful Technique Associated with Grey Wolves Optimization Algorithm to Track the PV Modules' Global Maximum Power During Partial Shading;2024 International Telecommunications Conference (ITC-Egypt);2024-07-22
2. Optimized Maximum Power Point Tracking for PV System Under Partial Shading Conditions;2023 IEEE 2nd International Power Electronics and Application Symposium (PEAS);2023-11-10
3. Grid-Connected PV System Under Partial Shading Condition Using Cuckoo Search Algorithm;2023 First International Conference on Cyber Physical Systems, Power Electronics and Electric Vehicles (ICPEEV);2023-09-28
4. An Effective Strategy Coupled with Perturb and Observe Algorithm to Track the PV Systems’ Global Maximum Power under Partial Shading Conditions;2023 International Telecommunications Conference (ITC-Egypt);2023-07-18
5. MPPT control of series photovoltaic array based on CSA-INC under partial shading;International Conference on Optoelectronic Materials and Devices (ICOMD 2021);2022-02-16
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