Total radiation data correction method and system based on photovoltaic power generation historical information
A technology of historical data and photovoltaic power generation, applied in information technology support systems, data processing applications, neural learning methods, etc., can solve problems such as data missing of total radiation sequence data, and achieve the effect of solving missing data
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Embodiment 1
[0048] A correction method of total radiation data based on historical information of photovoltaic power generation, such as figure 1 Shown include:
[0049] Step 1: Divide the historical data of the photovoltaic power station into data to be corrected and historical data not missing;
[0050] Step 2: Bring the power data in the data to be corrected into the pre-trained optimization model to obtain the total radiation data corresponding to the power data to be corrected;
[0051] Step 3: Fitting the total radiation data in the unmissed historical data and the total radiation data corresponding to the power data to be corrected to obtain the total radiation data;
[0052] Wherein, the historical data of the photovoltaic power station includes power data and total radiation data, and the optimization model is obtained by training samples constructed with no missing historical data.
[0053] The specific steps of the total radiation data correction method based on the historica...
Embodiment 2
[0069] Based on the same inventive concept, the present invention also provides a total radiation data ordering system based on historical information of photovoltaic power generation, including:
[0070] Data extraction module, data correction module, data fitting module and model building module;
[0071] The data extraction module divides the historical data of the photovoltaic power station into data to be corrected and historical data not missing;
[0072] The data correction module brings the power data in the data to be corrected into the pre-trained optimization model to obtain the total radiation data corresponding to the power data to be corrected;
[0073] The data fitting module fits the total radiation data in the unmissed historical data and the total radiation data corresponding to the power data to be corrected to obtain the total radiation data;
[0074] The model construction module, the optimized model is obtained by training samples constructed with no mis...
Embodiment 3
[0087] The present invention proposes a method for correcting total radiation data based on historical information of photovoltaic power generation. By using the RBF neural network method, a mapping model between power data and total radiation data is established to correct the data to be corrected in the total radiation sequence. In order to provide complete total radiation sequence data for photovoltaic power plants and solve the problem of missing data in total radiation monitoring, such as figure 2 As shown, the method proceeds in the following steps:
[0088] 1. According to the 15-minute monitoring data of historical photovoltaic power plants, select the data marked as pending correction in the total radiation data, and eliminate the data corresponding to the total radiation pending correction data mark; the power data is processed in the same way according to the total radiation situation.
[0089] 2. Randomly take 75% of the total power data after elimination as the t...
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