公开(公告)号：US20230006449A1

公开(公告)日：2023-01-05

申请号：US17853324

申请日：2022-06-29

Applicant: Huawei Digital Power Technologies Co., Ltd.

Inventor： Binjie CHENG

IPC: H02J3/38 ,  H02M7/537

Abstract: This application provides a photovoltaic system and a maximum power point tracking control method for a photovoltaic system. The photovoltaic system includes an MPPT controller and a power converter, and the MPPT controller is connected to the power converter. The MPPT controller is configured to: be connected to a photovoltaic array, and track a global maximum power point MPP of the photovoltaic array. The MPPT controller may be further configured to obtain, when there is a periodic shade for the photovoltaic array, a multi-peak search start moment of global MPPT of the photovoltaic array based on a status of tracking the global MPP of the photovoltaic array in a target time period, so that when the multi-peak search start moment in each MPPT period arrives, the global MPPT of the photovoltaic array is started, to output a working point of the global MPP of the photovoltaic array to the power converter. According to this application, efficiency of obtaining the working point of the global MPP of the photovoltaic array can be improved, and precision of controlling the global MPPT of the photovoltaic array can be improved.

公开(公告)号：US20220206056A1

公开(公告)日：2022-06-30

申请号：US17695050

申请日：2022-03-15

Applicant: Huawei Digital Power Technologies Co., Ltd.

Inventor： Binjie CHENG ,  Qinwei LIU

IPC: G01R31/12 ,  H02H1/00 ,  G06N3/08 ,  G06N3/04

Abstract: A direct-current electric arc detection method and apparatus, a device, a system, and a storage medium. The method includes: obtaining an electrical quantity of a direct current circuit; inputting the electrical quantity into a burning arc neural network model to perform burning arc detection on the direct current circuit, to obtain a burning arc detection result; and if the burning arc detection result is that a burning arc is detected, determining that a direct-current electric arc fault exists in the direct current circuit. Because the electrical quantity is input into the burning arc neural network model to perform burning arc detection on the direct current circuit, a direct-current electric arc fault is detected, and accuracy of detecting a direct-current electric arc fault is further improved.