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Single-phase photovoltaic inverter on-line state monitoring and residual life prediction method

A photovoltaic inverter and life prediction technology, applied in the direction of instruments, measuring electricity, measuring devices, etc.

Inactive Publication Date: 2015-12-09
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Abstract
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Problems solved by technology

In addition, the inverter is generally placed outdoors together with the system, and it has been subjected to extreme cold and extreme heat and harsh environments with seasonal weather changes for a long time, and there are factors such as overcurrent, overvoltage, and frequency disturbances in the working state.

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  • Single-phase photovoltaic inverter on-line state monitoring and residual life prediction method
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specific Embodiment approach

[0021] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0022] Such as figure 2 As shown, by collecting the input voltage, input current, output voltage, output current of the single-phase photovoltaic inverter in the healthy state, and the drain-source current and junction temperature of the power MOSFET, a deep neural network model is established to determine the single-phase photovoltaic inverter. The reference value of the status parameter of the inverter is calculated, and the reference value of the on-resistance of the power MOSFET is calculated to determine the failure threshold of the single-phase photovoltaic inverter. Based on the deep neural network model, the online state evaluation of the single-phase photovoltaic inverter under test is carried out. At the same time, the Gaussian process regression model is used to predict the on-resistance of the power MOSFET in multiple steps. Whe...

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Abstract

The invention provides a single-phase photovoltaic inverter on-line state monitoring and residual life prediction method, and the specific steps include: first collecting input voltage, input current, output voltage, output current and power MOSFET drain and source electrode current and junction temperature on line in real time when a photovoltaic inverter is a healthy state; then, adopting a depth neural network model to obtain a state parameter reference value of the photovoltaic inverter, calculating to obtain an on resistance reference value of the power MOSFET, and determining a failure threshold value of the single-phase photovoltaic inverter; and finally, based on the depth neural network model, obtaining a state parameter value of a tested single-phase photovoltaic inverter and performing state evaluation based on the reference value, and at the same time, adopting a Gaussian process regression model to perform multistep prediction on the tested single-phase photovoltaic inverter, thereby realizing residual life prediction. Based on multiple performance parameters of the single-phase photovoltaic inverter and taking junction temperature of the power MOSFET into consideration, on-line state monitoring and residual life prediction of the single-phase photovoltaic inverter are realized, thereby providing a theoretical basis for reasonably performing health management on a photovoltaic power generation system.

Description

technical field [0001] The invention relates to the technical field of fault prediction and health management of power conversion circuits, in particular to an online state monitoring and remaining life prediction method of a single-phase photovoltaic inverter. Background technique [0002] With the gradual shortage of global fossil energy and the increasingly prominent energy and environmental crisis caused by climate warming, solar photovoltaic power generation has become the most promising renewable energy due to its advantages of abundant resources, wide distribution, and broad development and utilization prospects. Photovoltaic inverter is the core component of the entire photovoltaic power generation system. It converts the DC power generated by photovoltaic modules into the required AC power. It also has functions such as maximum power tracking control and fault protection. The United States Retop Group and Sandia Laboratories have found that photovoltaic inverters ar...

Claims

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Application Information

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IPC IPC(8): G01R31/00G06N3/02
CPCY04S10/50
Inventor 孙权王友仁吴祎姜媛媛
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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