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作 者:袁尧鑫 周星雨 夏路生[1] YUAN Yaoxin;ZHOU Xingyu;XIA Lusheng(Information Engineering Institute,Jiangxi Vocational College of Industry and Engineering,Pingxiang,Jiangxi 337099,China)
机构地区:[1]江西工业工程职业技术学院信息工程学院,江西萍乡337099
出 处:《自动化应用》2024年第13期134-137,共4页Automation Application
基 金:江西省教育厅科学技术研究项目(GJJ2206607)。
摘 要:在“双碳”战略背景下,光伏发电产业的“井喷式”增长对光伏发电效率提出了更高要求。现有技术难以直接提升光伏组件的光电转化效率。为此,利用STM32F103ZET6控制器、光敏二极管、双舵机等设备搭建光伏逐日系统控制系统硬件部分,并采用模糊PID控制算法组建控制系统软件部分。结果表明,与传统PID控制相比,模糊PID控制的鲁棒性更强,可在保证控制精度的前提下极大加快响应速度并提升系统抗干扰能力,进而提升光伏系统效率。Under the background of the "dual carbon" strategy,the explosive growth of the photovoltaic power generation industry has put forward higher requirements for the efficiency of photovoltaic power generation.The existing technology is difficult to directly improve the photovoltaic conversion efficiency of photovoltaic modules.To this end,the hardware part of the photovoltaic daily system control system is constructed using STM32F103ZET6 controller,photodiodes,dual servos and other equipment,and the control system software part is constructed using fuzzy PID control algorithm.The results show that compared with traditional PID control,fuzzy PID control has stronger robustness,which can greatly accelerate response speed and improve the system's anti-interference ability while ensuring control accuracy,thereby improving the efficiency of photovoltaic systems.
分 类 号:TM743[电气工程—电力系统及自动化]
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