Distributed photovoltaic load data prediction and restoration method
A distributed photovoltaic and load data technology, applied in forecasting, data processing applications, instruments, etc., can solve problems such as repair and prediction of abnormal photovoltaic power generation data, and achieve the effect of improving accuracy, convenient and efficient selection, and ensuring accuracy
Inactive Publication Date: 2019-11-26
HUZHOU ELECTRIC POWER SUPPLY CO OF STATE GRID ZHEJIANG ELECTRIC POWER CO LTD +1
View PDF2 Cites 2 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0003] The present invention mainly solves the problem that the abnormal data of photovoltaic power generation cannot be repaired and predicted, and provides a distributed photovoltaic load data prediction and repair that utilizes the adjacent users and historical data of a certain user to predict the current power generation data of the user method
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0039] A method for forecasting and repairing distributed photovoltaic load data, such as figure 1 shown, including the following steps:
[0040] S1: Select similar users who are similar to the photovoltaic power generation situation of the user to be predicted, and use the power generation efficiency to select, such as figure 2 shown, including the following steps:
[0041] S11: Select 20 adjacent users in the area where the user to be predicted is located, and calculate the power generation efficiency of the user to be predicted and the adjacent user respectively,
[0042] S12: Using the Pearson product-moment correlation coefficient to calculate the similarity between the power generation efficiency of the user to be predicted and each adjacent user;
[0043] S13: Select the adjacent user with the highest similarity as the similar user of the user to be predicted;
[0044] S2: Use the current power generation data and historical power generation data of similar users ...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention relates to a distributed photovoltaic load data prediction and restoration method, including the steps: firstly, similar user selection and historical similar day selection are carried out by utilizing a Pearson product moment correlation coefficient, then a BP neural network model is carried out, and then data prediction is carried out by utilizing the trained BP neural network model, and finally prediction data is compared with actual data. The distributed photovoltaic load data prediction and restoration method has the advantages that the similar users are selected from the surrounding users of the to-be-predicted users to ensure that the to-be-predicted users and the similar users have the same illumination condition, so that the prediction accuracy is improved; and historical similar days are selected by utilizing power generation efficiency, and weather and illumination factors do not need to be considered, and selection is convenient and efficient, and meanwhile prediction accuracy can be ensured.
Description
technical field [0001] The invention relates to the field of electric power detection, in particular to a method for predicting and repairing distributed photovoltaic load data. Background technique [0002] Because solar energy is widely distributed, clean, and pollution-free, solar power generation, especially photovoltaic power generation, has been widely used by individual users. With the large-scale popularization of photovoltaic power generation and the introduction of related subsidy policies, some users have maliciously pretended to generate electricity to defraud subsidies. , The substandard quality and low efficiency of distributed photovoltaic equipment lead to customers' doubts about photovoltaic electricity bills, and the randomness and volatility of photovoltaic power generation are relatively large. Relevant power grid companies cannot accurately obtain or predict actual power generation data, so they cannot Some abnormal data of photovoltaic power generation ...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06Y04S10/50
Inventor 吕斌斌王国帮陈昊王龙徐国华李也白张明乐费冬虎邵力范津津
Owner HUZHOU ELECTRIC POWER SUPPLY CO OF STATE GRID ZHEJIANG ELECTRIC POWER CO LTD