局部遮阴时,光伏阵列输出的功率-电压曲线出现多个峰值,传统最大功率点跟踪(maximum power point tracking,MPPT)算法会失效。提出两步型控制模型:第一步由粒子群算法(particle swarm optimization,PSO)寻找最大功率点,第二步通过电导增量法(incremental conductance,INC)控制系统稳定输出。此外还研究以下几点:模型的参考曲线更改为光伏阵列功率-占空比(P-D)输出特性曲线(由标准Boost电路调节占空比测得);改进传统PSO算法结构,限制了最大搜索速度;分析模型最适合的粒子数目和粒子搜索顺序。最后在复杂环境下对系统进行仿真和实验。
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.