Real-time fault detection method for large-scale grid-connected solar photovoltaic power station

A solar photovoltaic, real-time fault technology, applied in photovoltaic power generation, photovoltaic system monitoring, photovoltaic modules and other directions, can solve the complex problems of photovoltaic power plants

Inactive Publication Date: 2021-12-24
李力洋
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  • Abstract
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  • Application Information

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Problems solved by technology

[0004] Compared with small photovoltaic power plants with a capacity of several kilowatts, photovoltaic power plants with hundreds of kilowatts are more complex

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  • Real-time fault detection method for large-scale grid-connected solar photovoltaic power station
  • Real-time fault detection method for large-scale grid-connected solar photovoltaic power station
  • Real-time fault detection method for large-scale grid-connected solar photovoltaic power station

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Embodiment Construction

[0021] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be further described in detail in conjunction with the accompanying drawings and specific embodiments below.

[0022] A real-time fault detection method for a large-scale grid-connected solar photovoltaic power station. This method simulates a theoretical photovoltaic power station in MATLAB / Simulink, realizes a theoretical photovoltaic power station, and makes it generate direct current similar to an actual photovoltaic power station in real time. The theory in Simulink The photovoltaic power station obtains the irradiance and temperature data of photovoltaic modules in real time, and simulates the generated photovoltaic output, uses the developed statistical tool Z-score to detect outliers, and compares the DC power of each photovoltaic string in the actual photovoltaic power sta...

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Abstract

The invention discloses a real-time fault detection method for a large-scale grid-connected solar photovoltaic power station. The method comprises the steps of simulating a theoretical photovoltaic power station in MATLAB / Simulink, achieving the theoretical photovoltaic power station, enabling the theoretical photovoltaic power station to generate a direct current similar to an actual photovoltaic power station in real time, obtaining the irradiance and photovoltaic module temperature data in real time from the theoretical photovoltaic power station in the Simulink, simulating the generated photovoltaic output, carrying out abnormal value detection by using a developed statistical tool Z-score, comparing the direct current power of a single photovoltaic string of an actual photovoltaic power station with the average direct current power photovoltaic string of the theoretical photovoltaic power station, and carrying out fault detection and identification through a Z-score value and a comparison result based on a Z-score threshold value.

Description

technical field [0001] The invention relates to the field of photovoltaic power generation, in particular to a real-time fault detection method for a large-scale grid-connected solar photovoltaic power station. Background technique [0002] Energy is a basic necessity in this modern era and fossil fuels are still the main source of energy, the burning of fossil fuels is increasing carbon emissions day by day and leading to a phenomenon known as global warming, global warming has serious consequences leading to Entire ecosystems are destroyed and, in addition, we have a very short supply of fossil fuels, both of which require serious attention and call for immediate action to find alternative sources of energy that could last longer and be produced efficiently More energy, and to protect our environment, solar energy, especially solar photovoltaic power generation, has gained an important position in exploring green and clean energy. [0003] Today, hundreds of solar PV plan...

Claims

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Application Information

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IPC IPC(8): H02S50/00H02S50/10
CPCH02S50/00H02S50/10Y02E10/50
Inventor 李力洋
Owner 李力洋
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