摘要
针对传统扰动观察法无法兼顾跟踪稳定性与快速性的问题,提出一种基于不确定性推理的扰动观察法,实现最大功率点跟踪(MPPT)。首先,建立光伏电池模型并验证其输出特性;其次,基于不确定性推理建立非线性扰动函数,同时引入光照、温度变化率对步长的扰动量进行修正;最后,通过MATLAB/SIMULINK仿真验证所提策略。结果表明:当光照强度或温度发生变化时,本文提出的算法的响应速度优于传统扰动观察法,且在MPP附近的功率震荡小,提高了跟踪稳定性与跟踪速度。
In view of the problem that the traditional perturbation and observation method cannot track stably and rapidly, an improved perturbation and observation method based on uncertainty reasoning is proposed to realize maximum power point tracking(MPPT). Firstly, the photovoltaic cell model is established and its output characteristics is verified. Secondly, the nonlinear perturbation function is established based on uncertainty reasoning, and the radiation intensities and temperature change rates are introduced to correct the perturbation of step length. Finally, the proposed strategies are verified by MATLAB/SIMULINK simulation. The results show that the response speed of the proposed algorithm in this paper is quicker than the traditional perturbation and observation method when the radiation intensity or temperature changes, and the power oscillation near the MPP is smaller. Thus, the tracking stability and system response speed are enhanced.
作者
艾永乐
刘群峰
韩朝阳
丁剑英
AI Yongle;LIU Qunfeng;HAN Zhaoyang;DING Jianying(School of Elctrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454003,China)
出处
《武汉大学学报(工学版)》
CAS
CSCD
北大核心
2020年第4期339-344,共6页
Engineering Journal of Wuhan University
基金
河南省教育厅高等学校重点科研项目(编号:17A470001)
河南省科技攻关项目(编号:172102310569)。
关键词
光伏电池
MPPT
不确定性推理
扰动观察法
photovoltaic cell
MPPT
uncertainty reasoning
perturbation and observation method