摘要
清洁能源在解决能源和环境问题中越来越受到重视,为了提高光伏发电中光伏电池的输出功率,本文研究基于电导增量法提出一种新的最大功率点跟踪(MPPT)算法。该算法使用模糊控制法初步寻优,提高系统的跟踪速度,将电压稳定在0.75 U max,以梯度式电导增量法对电压跟踪且稳定在最大功率点;提出验证算法准确度的3个指标是初步寻优的时间T、稳定后功率的震荡幅度ΔP、参数改变后再次跟踪到最大功率点的时间ΔT;通过Matlab/Simulink仿真分析比较3种控制算法,结果表明:本文提出的算法同时具备局部搜索与全局寻优的能力,与单一的模糊控制和电导增量法相比,本文提出的算法跟踪速度更高、功率损失更少、震荡幅度更低。
Clean energy is getting more and more attention in solving energy and environmental problems.In order to increase the output power of photovoltaic cells in photovoltaic power generation,a new maximum power point tracking(MPPT)algorithm is proposed based on the incremental conductance method.The algorithm uses the fuzzy control method to optimize the search,improve the tracking speed of the system,stabilize the voltage at 0.75 U max,and then track and stabilize the voltage at the maximum power point by the gradient incremental conductance method.And the three indicators that verify the accuracy of the algorithm are the time T of the initial optimization,the oscillation amplitude of the stabilized powerΔP,and the timeΔT of the maximum power point which is tracked again after the parameter changes.Through the simulation of Matlab/simulink,the three control algorithms are analyzed and compared.The results show that the proposed algorithm can simultaneously have the ability of local search and global optimization.Compared with the single fuzzy control and conductance increment method,the proposed algorithm has higher tracking speed,less power loss and lower oscillation amplitude.
作者
周宏飞
杨旭海
赵咪
耿智化
张茜
ZHOU Hongfei;YANG Xuhai;ZHAO Mi;GENG Zhihua;ZHANG Qian(College of Mechanical and Electrical Engineering,Shihezi University,Shihezi,Xinjiang,832003;Key Laboratory of Northwest Agricultural Equipment,Ministry of Agriculture,Shihezi,Xinjiang,832003)
出处
《石河子大学学报（自然科学版）》
CAS
北大核心
2020年第5期554-559,共6页
Journal of Shihezi University(Natural Science)
基金
国家自然科学基金(61563045)。
关键词
电导增量法
模糊控制
最大功率点
局部搜索
全局寻优
incremental conductance method
fuzzy control
maximum power point tracking(MPPT)
local search
global optimization
