Bibliographic Details
| Title: |
CLBPNN: A Hybrid Chaotic Levy-BPNN Algorithm for Enhanced Photovoltaic Parameter Identification. |
| Authors: |
Qian, Jun1 JQn2016@163.com, Zhang, Hui1 zhanghui_nnn@163.com, Wang, Shun2 18913929898@163.com |
| Source: |
Engineering Letters. May2026, Vol. 34 Issue 5, p1805-1815. 11p. |
| Subjects: |
Back propagation, Global optimization, Mathematical optimization |
| Abstract: |
To overcome limited global search and poor adaptability in photovoltaic parameter identification, this paper proposes a hybrid backpropagation neural network (CLBPNN) combining Tent chaotic mapping and Levy flight. The dual-enhanced framework boosts population diversity and escape from local optima, while neural networks refine local identification. Under a global-local optimization structure, the method improves accuracy and robustness. Experiments under varying conditions--such as temperature shifts, irradiation changes, and noise--verify CLBPNN's superior tracking and anti-interference performance, supporting efficient and intelligent PV system operation. [ABSTRACT FROM AUTHOR] |
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| Database: |
Engineering Source |
