首页> 外国专利> PV module serial/parallel conversion system for MPPT operating voltage optimization based on machine learning

PV module serial/parallel conversion system for MPPT operating voltage optimization based on machine learning

机译:PV模块基于机器学习的MPPT工作电压优化串口/并联转换系统

摘要

The present invention relates to a solar module serial-to-parallel conversion system for optimizing the MPPT operating voltage based on machine learning, and more particularly, the maximum output point (MPP) ) Even when the input power below It relates to a solar module serial-to-parallel conversion system for optimizing the MPPT operating voltage based on machine learning that can increase the daily power generation time. To this end, the present invention includes a plurality of solar panels exposed to sunlight to generate power; a plurality of inverters respectively connected to the plurality of photovoltaic panels to convert direct current power output from the photovoltaic panel into alternating current power; a plurality of output detection units respectively connected to the plurality of solar panels to detect an output power value of the corresponding solar panels; a switching unit connected between the plurality of photovoltaic panels and the plurality of inverters to transmit the output of each photovoltaic panel to any one photovoltaic panel according to the output power value of each photovoltaic panel; and a control unit receiving the sensing data of the output sensing unit and controlling the switching connection of the switching unit.
机译:太阳能模块串行转换系统技术领域本发明涉及一种太阳能模块串行转换系统,用于基于机器学习优化MPPT工作电压,更具体地,即使当下面的输入电源涉及太阳能模块时,也更具体地,即使是最大输出点(MPP))串行到并行转换系统,用于优化基于机器学习的MPPT工作电压,可以增加日常发电时间。为此,本发明包括暴露于阳光以产生功率的多个太阳能电池板;分别连接到多个光伏面板的多个逆变器,以将从光伏板输出的直流电力转换成交流电流;分别连接到多个太阳能电池板的多个输出检测单元以检测相应的太阳能电池板的输出功率值;在多个光伏板和多个逆变器之间连接的开关单元根据每个光伏面板的输出功率值将每个光伏板的输出传递到任何一个光伏面板;和控制单元接收输出感测单元的感测数据并控制切换单元的切换连接。

著录项

  • 公开/公告号KR102283826B1

    专利类型

  • 公开/公告日2021-08-02

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR1020190132654

  • 发明设计人 김덕수;

    申请日2019-10-24

  • 分类号H02J3/38;G05F1/67;

  • 国家 KR

  • 入库时间 2022-08-24 20:26:53

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号