期刊名称：International Journal of Electronics Communication and Computer Engineering
印刷版ISSN：2249-071X
电子版ISSN：2278-4209
出版年度：2015
卷号：6
期号：2
页码：232-239
出版社：IJECCE
摘要：One of the major drawbacks of photovoltaic (PV) systems is represented by the effect of module mismatching and of partial shading of the PV field. This paper proposes a method of maximum power point tracking using Quantum behaved particle swarm optimization (QPSO) for grid-connected photovoltaic systems. The system is composed of a boost converter and a Single-phase inverter connected to a utility grid. The maximum power point tracking control is based on Proposed control a switch of a boost converter. QPSO controllers provide attractive features such as fast response, good performance. The Single phase inverter uses predictive current control which provides current with sinusoidal waveform. Therefore, the system is able to deliver energy with low harmonics and high power factor. From the simulation results, the adaptive QPSO controller can deliver more power than the conventional controller
关键词：Maximum Power Point Tracking; Photovoltaic System; DC DC Boost Converter; Particle Swarm Optimization; Grid Connected Photovoltaic PV System
