摘要
在若干个串联太阳电池两端并联旁路二极管消除光伏阵列处于局部阴影时形成的"热斑效应"的同时,P-U特性输出曲线会呈现出多个峰值。因此,传统最大功率跟踪方法可能会失效。针对多峰值问题,在建立和分析特性输出曲线的基础上,将改进的萤火虫群算法应用到局部阴影下光伏阵列最大功率点跟踪中。仿真表明,此方法能够快速准确的跟踪到全局最大功率点,保证了功率的高效利用。并与粒子群算法进行对比,验证了此方法的优越性。
When the PV array is under partially shaded condition, the parallel connection of bypass diode is conducted at both ends of several series solar cells to eliminate hot spot effect, but the P-U characteristic output curve will show multiple peaks. The traditional maximum power tracking method may fail. On the basis of establishing and analyzing the characteristic output curve for multiple peaks problem, the improved GSO algorithm was applied into the MPPT of PV array under partially shaded condition. The simulation results indicate that the improved GSO algorithm can quickly and accurately track the maximum power point and ensure the efficient use of power. Compared with the particle swarm optimization algorithm, the superiority of this method was verified.
作者
李恒杰
康开岚
陈伟
裴喜平
曾贤强
LI Heng-jie;KANG Kai-lan;CHEN Wei;PEI Xi-ping;ZENG Xian-qiang(College of Electrical and Information Engineering, Lanzhou University of Technology,Lanzhou Gansu 730050,chin)
出处
《电源技术》
CAS
CSCD
北大核心
2018年第5期689-692,共4页
Chinese Journal of Power Sources
基金
国家自然科学基金(51267012)
甘肃省科技支撑工业计划项目(1504GKCA033)
甘肃省自然科学基金(1508RJZA083)
关键词
局部阴影
最大功率点跟踪
萤火虫群算法
光伏阵列
partially shaded condition
maximum power point tracking
glowworm swarm optimization algorithm
photovoltaic array
