Transformer area line loss calculation method based on correlation analysis and data mining
A correlation analysis and data mining technology, applied in relational databases, calculations, database models, etc., can solve the problems of low calculation efficiency and accuracy, inability to accurately and effectively mine the line loss correlation of the platform area, etc.
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Embodiment 1
[0065] A line loss calculation method based on correlation analysis and data mining, such as figure 1 shown, including the following steps:
[0066] S1. Obtain the electrical characteristic index data of the historical station area;
[0067] S2. Use the correlation analysis method to calculate the degree of correlation between the electrical characteristic index of each station area and the line loss rate of the station area, and filter to obtain the electrical characteristic index data with a degree of correlation higher than the preset value;
[0068] S3. According to the electrical characteristic index data obtained through screening, the clustering algorithm is used to cluster the station area, and the clustering result is obtained;
[0069] S4. Construct a deep belief network, and use the clustered electrical characteristic index data of various station areas to train the deep belief network respectively to obtain a line loss prediction model for the station area, which ...
Embodiment 2
[0071] A method for calculating line loss in a station area based on correlation analysis and data mining, comprising the following steps:
[0072] S1. Obtain n kinds of electrical characteristic index data of the station area in the past t years. The electrical characteristic index includes the attribute of the station area, the capacity of the distribution transformer, the power supply radius of the station area, the type of cable, the total length of the low-voltage line, the number of power users, and the total power Factor, load rate, annual average line loss rate, nature and proportion of electricity consumption; where t and n are both positive integers;
[0073] Then:
[0074] S11. According to the obtained historical electrical characteristic index data of the station area, construct the influencing factor matrix X=[x of the line loss rate of the station area i,j ],j∈[1,t], where x i,j It is the data of the j-th year of the i-th influencing factor, that is, the data ...
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