English  |  正體中文  |  简体中文  |  Items with full text/Total items : 6491/11663
Visitors : 24493527      Online Users : 43
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search
Login ‧ Upload ‧ Help ‧ About ‧ Administer

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/11141

Title: A biological swarm chasing algorithm for tracking the PV maximum power point
Authors: Chen, Liang‐Rui;Tsai, Chih-Hui;Lin, Y. L.;Lai, Y. S.
Contributors: 電機工程系
Keywords: Maximum power point tracking (MPPT);Particle swarm optimization;Photovoltaic (PV);Swarm intelligence
Date: 2010-06
Issue Date: 2012-06-05T04:34:02Z
Publisher: Institute of Electrical and Electronics Engineers Inc
Abstract: In this paper, a novel photovoltaic (PV) maximum power point tracking (MPPT) based on biological swarm chasing behavior is proposed to increase the MPPT performance for a module-integrated PV power system. Each PVmodule is viewed as a particle, and as a result, the maximum power point is viewed as the moving target. Thus, every PV module can chase the maximum power point (MPP) automatically. A 525Wprototype constructed by three parallel-connected 175 W PV modules is implemented to assess the MPPT performance. Comparing with a typical perturb
and observe (P&O) MPPT method, the MPPT efficiency ηMPPT is improved about 12.19% in transient state by the proposed MPPT
as theoretical prediction.
Relation: IEEE Trans. Energy Convers, 25(2): 484-493
Appears in Collections:[電機工程學系] 期刊論文

Files in This Item:

File SizeFormat
index.html0KbHTML572View/Open


All items in NCUEIR are protected by copyright, with all rights reserved.

 

DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback