@inproceedings{0f220812cb8c446dbb8868a12827dae1,
title = "A composite P&O MPPT control with intelligent orthogonal particle swarm optimization for steepest gradient river current power generation system",
abstract = "This paper proposes a demonstration system of steepest gradient river current (SGRC) power generation with energy storage system. A direct-drive permanent magnet synchronous generator with multiple poles is used to transfer the steepest gradient river current power into electric power. Energy storage control system is included in the power generation system. An isolated DC/DC converter controller with perturbation and observation (P&O) maximum power point tracking (MPPT) and orthogonal particle swarm optimization (OPSO) algorithms is used to charge the battery pack. Experimental results show that the P&O and OPSO MPPT control can perform very well. It is believed that the proposed energy storage system is valuable for the steepest gradient river current power generation.",
keywords = "Orthogonal particle swarm optimization (OPSO), full-bridge DC/DC converter controller, maximum power point tracking (MPPT), perturbation and observation (P&O) method, steepest gradient river current (SGRC) power generation",
author = "Kuo, {Jian Long} and Chang, {Chun Jae}",
year = "2010",
doi = "10.1007/978-3-642-14932-0_70",
language = "英语",
isbn = "3642149316",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "564--571",
editor = "De-Shuang Huang and Xiang Zhang",
booktitle = "Advanced Intelligent Computing Theories and Applications",
note = "6th International Conference on Intelligent Computing, ICIC 2010 ; Conference date: 18-08-2010 Through 21-08-2010",
}