Design and Implementation of Maximum Power Point Tracker for PV System Based upon Biological Swarm Chasing Algorithm

• Main Authors: Chih-Hui Tsai, 蔡志輝
• Other Authors: 賴炎生
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/39dbw2

博士 === 國立臺北科技大學 === 機電科技研究所 === 98 === In this thesis, 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 PV module 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 525W prototype constructed by three paralled-connected 175W PV modules is implemented to assess the MPPT performance. Comparing with a typical perturb and observe (P&O) MPPT method, the MPPT efficiency is improved about 12.19% in transient state by the proposed MPPT as theoretical prediction.