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Dust-accumulation power-generation loss prediction-based auxiliary decision-making method of photovoltaic-plant cleaning time

A photovoltaic power station and power generation loss technology, applied in forecasting, instrumentation, data processing applications, etc., can solve problems such as reliability, accuracy doubts, dust accumulation power generation loss, etc., and achieve the effect of improving operational efficiency

Inactive Publication Date: 2018-02-09
MCC HUATIAN NANJING AUTOMATION ENG
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  • Summary
  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, several important objective laws are ignored in these literatures: whether to carry out cleaning or not, it is first necessary to consider whether there will be precipitation weather with obvious cleaning effect in the future; the loss of power generation rate (amount) caused by dust accumulation depends on the dust accumulation mechanism, geography, Restricted by weather and seasonal factors, it is not a simple linear relationship; without cleaning, the loss of power generation caused by dust accumulation has a cumulative effect. Similarly, after cleaning, dust accumulation will continue to occur and have a cumulative effect
Therefore, the above methods, algorithms, and strategies have obvious flaws in principle, and it is doubtful whether the reliability and accuracy of the results can withstand the test of practice

Method used

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  • Dust-accumulation power-generation loss prediction-based auxiliary decision-making method of photovoltaic-plant cleaning time
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  • Dust-accumulation power-generation loss prediction-based auxiliary decision-making method of photovoltaic-plant cleaning time

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Embodiment

[0040] figure 1 A flow chart of an embodiment of an auxiliary decision-making method for cleaning timing of a photovoltaic power station based on prediction of power generation loss due to accumulated dust is shown.

[0041] The method of the present embodiment comprises the following steps:

[0042] 1) Predict the number of days N away from the precipitation day with significant cleaning effect; the precipitation day with significant cleaning effect is predicted based on numerical weather forecast and / or historical meteorological records.

[0043] Based on the numerical weather forecast, historical meteorological records, and the measured precipitation parameters required for a significant dust cleaning effect, it is predicted that precipitation with a significant dust cleaning effect will occur after the Nth day, and N is used as the forecast period for subsequent analysis.

[0044] According to the installation form (such as installation inclination angle) of a specific ph...

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Abstract

The invention discloses a dust-accumulation power-generation-amount loss prediction-based auxiliary decision-making method of photovoltaic-plant cleaning time. The method comprises the following steps: 1) predicting a number N of days before a precipitation day with a significant cleaning effect; 2) estimating a dust-accumulation loss rate, in a case where a photovoltaic plant is not cleaned in the N days, and a dust-accumulation loss rate of the photovoltaic plant in the N days after cleaning of the next day; and 3) respectively calculating profit before and after cleaning according to estimation results, carrying out cleaning if the profit is greater than a cleaning cost, and not carrying out cleaning if the profit after cleaning is less than the cleaning cost. According to the method, aprediction method is applied to dust-accumulation power-generation-amount loss estimation of the photovoltaic plant, thus comparative analysis of whether cleaning economy exists is carried out, a technical method and an economic analysis method are fused, result accuracy thereof is higher, and economic benefits of the photovoltaic plant can be effectively increased.

Description

technical field [0001] The invention relates to an auxiliary decision-making method for cleaning timing of a photovoltaic power station based on prediction of dust-accumulated power generation loss, and belongs to the technical field of photovoltaic power generation intelligent operation and maintenance. Background technique [0002] As a green and environmentally friendly renewable energy, photovoltaic power generation has been included in the strategic level of building ecological civilization and ensuring national energy security. As of the end of 2016, the cumulative installed capacity of photovoltaics in China has reached 77.42GWp, ranking first in the world, with a total power generation of 66.2 billion kWh. With the continuous expansion of installed capacity, how to continuously improve the intelligent operation and maintenance level of photovoltaic power plants and obtain greater power generation efficiency has become an important research direction in this technical...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06Y04S10/50
Inventor 李晟庆军郭智文卢晓鹏杨光
Owner MCC HUATIAN NANJING AUTOMATION ENG
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