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Title:
SOLAR MODULE SERIAL-TO-PARALLEL SWITCHING SYSTEM FOR OPTIMIZING MPPT OPERATING VOLTAGE ON BASIS OF MACHINE LEARNING
Document Type and Number:
WIPO Patent Application WO/2021/002539
Kind Code:
A1
Abstract:
The present invention relates to a solar module serial-to-parallel switching system for optimizing MPPT operating voltage on the basis of machine learning and, more specifically, to a solar module serial-to-parallel switching system for optimizing MPPT operating voltage on the basis of machine learning, wherein even if input power equal to or lower than a maximum power point (MPP) is input to inverters connected to multiple solar panels or multiple solar panel groups, respective outputs from the multiple solar panels or multiple solar panel groups are collected, so that the inverters are normally operated even when the solar panels generate low power, such as during cloudy weather or at sunrise or sunset, and thus daily power production time can be increased.

Inventors:
KIM DUCK SOO (KR)
Application Number:
KR2019/014058
Publication Date:
January 07, 2021
Filing Date:
October 24, 2019
Export Citation:
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Assignee:
NEMO L TEC CO LTD (KR)
International Classes:
H02J3/38; G05F1/67
Attorney, Agent or Firm:
OAM PATENT & TRADEMARK LAW FIRM (KR)
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