首页 | 官方网站   微博 | 高级检索  
     


Application of a combined particle swarm optimization and perturb and observe method for MPPT in PV systems under partial shading conditions
Affiliation:1. Department of Electrical and Electronics Engineering, National Institute of Technology, Tiruchirappalli 620015, India;2. Sudharsan Engineering College, Pudukkottai, Tamilnadu, India;1. School of Energy Science and Engineering, Central South University, Changsha, Hunan 410083, China;2. Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, IL 61801, USA;1. Brookhaven National Laboratory, 2 Center Street, Upton, NY 11973, USA;2. Suffolk County Community College, 533 College Road, Selden, NY 11784, USA;3. The Renewable Energy Unit, EC Joint Research Centre, Institute for Energy and Transport, 21027 Ispra, Italy;1. SET Laboratory, Electronics Department, Blida 1 University, BP 270 Blida, Algeria;2. Electrical Engineering Department, Faculty of Technology, University of M''sila, BP 166 Ichbilia, Algeria;3. Electronic Engineering Department, Universitat Politècnica de Catalunya, C/ Jordi Girona 1-3, Campus Nord UPC, 08034 Barcelona, Spain;1. Technical University of Cluj-Napoca, 26-28 St. G. Baritiu, 400027 Cluj-Napoca, Romania;2. Ecole Supérieure d''Electronique de l''Ouest – ESEO, 10 Bd. Jeanneteau, 49107 Angers, France
Abstract:This paper explains the development of a new algorithm for maximum power point tracking (MPPT) in large PV systems under partial shading conditions (PSC). The new algorithm combines the use of particle swarm optimization (PSO) for MPPT during the initial stages of tracking and then employs the traditional perturb and observe (PO) method at the final stages. The methodology has been first simulated in two different PV configurations under varying shading patterns and experimentally verified using a microcontroller based experimental system. The integration of swarm intelligence with PO algorithm is shown to yield faster convergence to the global maximum power point (GMPP) than when the two methods are individually used. The oscillations in the output power, voltage and current of the PV system with the proposed method are the least when compared to the ones obtained during PSO based MPPT.
Keywords:Maximum power point tracking  Particle swarm optimization  Photovoltaic systems
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号