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Method for predicting working temperature of meteorology-related photovoltaic module

A photovoltaic module and operating temperature technology, applied in thermometers, meteorology, thermometers, etc. that use electric/magnetic elements that are directly sensitive to heat, can solve the problem of the lack of mature photovoltaic power plant power prediction system methods, affecting power grid peak regulation, and grid stability Questions and other questions

Inactive Publication Date: 2018-04-20
STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST +3
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As the weather changes, the output power of photovoltaic power plants changes drastically, which seriously affects the peak regulation of the power grid;
[0004] 2) Grid stability issues
Although foreign countries have carried out related research on solar resource distribution monitoring and photovoltaic power plant power forecasting systems, they are still in their infancy, and there is no mature method for photovoltaic power plant power forecasting systems.

Method used

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  • Method for predicting working temperature of meteorology-related photovoltaic module

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Experimental program
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Effect test

Embodiment 1

[0068] Embodiment 1: A weather-related method for predicting the operating temperature of a photovoltaic module, which establishes a nonlinear model between the operating temperature of the photovoltaic module and the ambient temperature, radiation intensity, and wind speed.

[0069] According to the law of energy conservation, the equations containing parameters are obtained, and then the values ​​of the parameters are obtained through data analysis.

[0070] According to a large amount of data, linear fitting is carried out through the method of mathematical statistics, and finally a linear model is obtained.

[0071] For linear models:

[0072] The simplest explicit formula for the operating temperature of a PV cell Variation with ambient temperature and incident solar radiation intensity

[0073]

[0074]

[0075] This linear expression is only valid for no electric load and no wind, the dimension parameter k , known as the Ross coefficient, which is equal to the...

Embodiment 2

[0116] Example 2: The meteorological and electrical data of the 18kWp grid-connected photovoltaic power station on the roof of the third west floor in the whole year of 2015 were recorded in the database of the Wuhan experimental measurement platform. All data have been preprocessed, using the Gaussian distribution 3σ principle to eliminate data other than 3σ. From the scatterplot, there are basically no outliers. From historical data, the average wind speed in Wuhan is very small. Therefore, in order to simplify the analysis, we adopt the formula

[0117]

[0118] Regression analysis is carried out in units of months, and the data of two months are selected, the results are shown in Figure 6 ,

[0119] According to the above analysis, it can be found that the regression coefficients A, B have an obvious corresponding relationship with the month. statistics see Figure 7 :

[0120] When considering the influence of wind speed, take July as an example to analyze the i...

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Abstract

The invention discloses a method for predicting the working temperature of a meteorology-related photovoltaic module. Based on factors such as ambient temperature, solar radiation intensity and wind speed, a linear model is fitted through a large amount of historical data and a nonlinear model is deduced through the law of conservation of energy. Moreover, two experimental platforms are designed to collect data. The influencing factors of the working temperature of the photovoltaic module can be deeply revealed, and the influence of the meteorological factors on the working temperature of thephotovoltaic module can be fully reflected. Therefore, the forecast accuracy of the generating capacity of a photovoltaic power station can be improved.

Description

technical field [0001] The invention relates to the technical field of photovoltaic module temperature prediction power generation, in particular to a weather-related method for predicting the operating temperature of a photovoltaic module. Background technique [0002] Solar photovoltaic power generation is a form of power generation that uses the photovoltaic effect of solar cells to directly convert solar radiation energy into electrical energy. At this stage, the popularization and application of solar energy is increasingly presenting an ascendant world trend, and the solar energy industry has become one of the new energy industries that are booming in the world. The development and utilization of clean, safe and environmentally friendly solar energy has become a common choice for human society to alleviate the growing energy shortage and a powerful force to control severe environmental pollution. The stable operation of the power grid needs to maintain a certain balan...

Claims

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Application Information

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IPC IPC(8): G01K7/02G01W1/04
CPCG01K7/02G01W1/04
Inventor 梁允李哲孙芊周宁李帅成驰许沛华崔杨王必强简仕略蔡涛
Owner STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST
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