Online DC power ripple and battery inner resistance monitoring system

Abstract

The invention relates to an online DC power ripple and battery inner resistance monitoring system, which comprises an online battery inner resistance measurement subsystem, a DC bus voltage ripple monitoring subsystem, a DC power monitoring subsystem, a man-machine interaction subsystem and an IEC61850 remote communication subsystem, wherein the online battery inner resistance measurement subsystem uses an online battery inner resistance detector to monitor the battery inner resistance in real time, and whether the battery is intact is judged through changes of the inner resistance; the DC bus voltage ripple monitoring subsystem uses a ripple detector to motor DC bus voltage ripples, and through real-time monitoring on the DC bus ripples, long-term influences on the battery by a power supply is predicted; the DC power monitoring subsystem is in charge of monitoring normal working parameters of the DC power system; and the IEC61850 remote communication subsystem is in charge of communicating with a remote monitoring center. Periodic and continuous data tracking, recording, analysis and judgment provides a lifelong sign information file list for the DC power supply and the battery.

Description

technical field [0001] The invention relates to an on-line DC power supply ripple and storage battery internal resistance monitoring system, which belongs to the technical field of power electronics. Background technique [0002] At present, the substation still adopts the old method of off-line manual measurement for the monitoring of DC power ripple and internal resistance of the battery, that is, using a handheld instrument to measure each product separately; while measuring and recording its parameters, it is very time-consuming and labor-intensive. The measurement has brought many potential safety hazards. Improper operation constitutes a hidden danger to the operating equipment, and even poses a hazard to the operator himself. Not only the artificial subjective measurement method constitutes an influencing factor on the data, but also cannot form a complete data chain. The breakpoint data records obtained by offline manual measurement, on the one hand, cannot fully an...

AI Technical Summary

Problems solved by technology

[0002] At present, the substation still adopts the old method of off-line manual measurement for the monitoring of DC power ripple and internal resistance of the battery, that is, using a handheld instrument to measure each product separately; while measuring and recording its parameters, it is very time-consuming and labor-intensive. The measurement has brought many potential safety hazards, and improper operation constitutes a hidden danger to the operating equipment, and even poses a hazard to the operator himself.

Not only the artificial subjective measurement method constitutes an influencing factor on the data, but also cannot form a complete data chain

The breakpoint data records obtained by offline manual measurement, on the one hand, cannot fully and accurately reflect the continuous health status of the product; on the other hand, the data faults caused by manual measurement cannot provide objective and accurate Complete Management Basis

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