中国电机工程学报Issue(z1)：39-46,8.DOI:10.13334/j.0258-8013.pcsee.2014.S.006
复杂遮阴条件下光伏系统MPPT控制改进PSO算法仿真研究
Research of Improved PSO in MPPT Control of PV Systems Under Complex Shading Condition
摘要
Abstract
ABSTRACT:The P−U curve of PV array has multiple peaks under partial shading, thus, the conventional maximum power point tracking (MPPT) algorithm will fail to work. This paper proposes a new simulation model: a dual-algorithm model. First, the particle swarm optimization (PSO) algorithm is used to search the maximum power point; second, the conductance increment method controls the system output stability. In addition, this paper also studies the following several points:the reference curve of simulation model is changed to the power-duty ratio (P−D) output characteristic curve of PV array which is measured by adjusting the duty ratio in standard boost circuits;the structure of traditional PSO algorithm is improved and the maximum search speed is limited; the most suitable number and search order of particle are analyzed for model. Finally, the simulation and experiment of system have been done under complex condition.关键词
最大功率点跟踪/粒子群算法/P-D 特性曲线/粒子搜索顺序/局部遮阴Key words
maximum power point tracking (MPPT)/particle swarm optimization (PSO) algorithm/P-D characteristic curve/search order of particle/partial shading分类
信息技术与安全科学引用本文复制引用
张永革,石季英,张文,汤文扬..复杂遮阴条件下光伏系统MPPT控制改进PSO算法仿真研究[J].中国电机工程学报,2014,(z1):39-46,8.基金项目
国际科技合作专项项目(2013DFA11040)；国家自然科学基金项目(61172014)；天津市自然科学基金重点项目(12JCZDJC21300)。The National Program of International S&T Cooperation (2013DFA11040) （2013DFA11040）
Project Supported by National Natural Science Foundation of China (61172014) （61172014）
Natural Science Foundation of Tianjin (12JCZDJC21300) （12JCZDJC21300）
