摘要
当光伏阵列受到不均匀光照时,其P-V(功率-电压)输出特性曲线会出现多极值的情况。为了解决传统的MPPT算法容易陷入局部功率极大值的问题,文章通过对光伏阵列的输出特性和现有MPPT算法的深入研究,提出了一种重复扫描法MPPT算法。在Simulink环境下,分别对P&O(扰动观测法)、基于PSO(粒子群)算法的MPPT算法和重复扫描法MPPT算法进行了仿真测试。试验结果表明,重复扫描法MPPT算法具有振荡幅度小、跟踪速度快和跟踪成功率高等优点。
When the photovoltaic array is exposed to uneven illumination,its P-V(power-voltage)output characteristic curve will have multiple extreme values.In order to solve the problem that the traditional MPPT algorithm is easy to fall into the maximum value of local power,through in-depth research on the output characteristics of the photovoltaic array and the existing MPPT algorithm,this paper proposes a repetitive scanning MPPT algorithm.In the Simulink environment,this paper tested P&O(disturbance observation method),MPPT algorithm based on PSO(particle swarm)algorithm,and repeated scanning MPPT algorithm.The simulation results show that the repeated scanning MPPT algorithm has the advantages of smaller oscillation amplitude,faster tracking speed and higher tracking success rate.
作者
迟耀丹
陈兵
赵阳
战冬梅
王琰妮
Chi Yaodan;Chen Bing;Zhao Yang;Zhan Dongmei;Wang Yanni(Key Laboratory of The Ministry of Education for Comprehensive Energy Conservation of Buildings in Cold Region,Jilin Jianzhu University,Changchun 130118,China;Hangzhou Hemai Power Electronics Co.,Ltd.,Hangzhou 310011,China)
出处
《可再生能源》
CAS
CSCD
北大核心
2023年第8期1031-1037,共7页
Renewable Energy Resources
基金
吉林省科技发展计划项目智慧供暖与控制系统集成技术创新团队(20210509048RQ)。
关键词
光伏发电
局部阴影
MPPT
重复扫描法
粒子群算法
photovoltaic generation
partial shading
maximum power point tracking
particle swarm optimization
repeat scan method