可再生能源2017，Vol.35Issue(11)：1620-1625,6.
基于LOGPSO算法的光伏系统MPPT研究
Research on MPPT of PV system based on LOGPSO algorithm
摘要
Abstract
In the process of tracking the maximum power point of the PV system, the particle swarm optimization algorithm is prone to slow convergence and easy to fall into the local optimum for the solar radiation intensity change, We use a Logarithm Particle Swarm Optimization (LOGPSO) algorithm. The algorithm reduces the inertia weight as a logarithmic form and adds a logarithmic adjustment factor.So that the early MPPT can quickly determine the extreme point voltage position, and inertia weight decreases rapidly in the medium-term, the latter can accurately search for the maximum power point voltage. Simulation analysis shows that, under different lighting conditions, using LOGPSO algorithm can significantly improve the maximum power point tracking PV system during slow speed and low accuracy.关键词
光伏系统/MPPT/局部阴影/太阳辐射强度突变/惯性权重对数递减粒子群算法Key words
photovoltaic system/maximum power point tracking(MPPT)/particle shading/light mutation/logarithm particle swarm optimization(LOGPSO)分类
能源科技引用本文复制引用
王书金,米根锁..基于LOGPSO算法的光伏系统MPPT研究[J].可再生能源,2017,35(11):1620-1625,6.基金项目
国家自然科学基金项目(51667013). （51667013）
