Global maximum power point tracking for PV conversion systems under partial shadings: NNIDA based approach

• Main Authors: Song, Guangyu, Liu, Xinghua, Tian, Jiaqiang, Xiao, Gaoxi, Zhao, Tianyang, Wang, Peng
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Electrical and electronic engineering; PV Conversion Systems; Neural Network
• Online Access: https://hdl.handle.net/10356/172734
• Institution: Nanyang Technological University

Due to the nonlinear characteristics of photovoltaic (PV) cells, it remains as a challenge to generate stable maximum power from PV conversion systems. Under partial shading circumstances, PV characteristics present multiple local maximum power points. In this paper, a neural network improved dragon...