Multivariate linear regression modeling method for transformer substation energy consumption reference correction

A technique of multiple linear regression and multiple regression equations, applied in the field of substation evaluation, can solve problems such as inability to evaluate energy efficiency and changes in energy consumption of substations

Active Publication Date: 2019-05-14
JIANGSU ELECTRIC POWER CO +2
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Problems solved by technology

[0002] The commonly used substation energy efficiency assessment based on the gray analytic hierarchy process is a horizontal assessment between substations, and it is impossible to conduct vertical energy efficiency assessments before and after the transformation of substation energy efficiency.
In the process of improving the energy efficiency of substations, an important problem is how to evaluate the energy saving effect after the transformation. On the one hand, the changes in energy consumption of substations before and after transformation are caused by the implementation of transformation measures; on the other hand, the operating factors and Environmental factors have changed, which also caused changes in energy consumption of substations

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  • Multivariate linear regression modeling method for transformer substation energy consumption reference correction
  • Multivariate linear regression modeling method for transformer substation energy consumption reference correction
  • Multivariate linear regression modeling method for transformer substation energy consumption reference correction

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Embodiment Construction

[0022] The specific implementation manners of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0023] like figure 1 As shown, the specific steps of the energy consumption benchmark correction method are: Step (1): Determine the source of sample data and the information data structure of the corresponding substation; Step (2): Determine the impact of the energy consumption benchmark model used to establish the energy efficiency evaluation of the substation Factors; step (3): establish a multiple linear regression model; step (4): use sample data to estimate the constant term and regression coefficient in the multiple regression equation; step (5): check the significance of the multiple regression equation ; Step (6): Use the "stepwise regression method" to select independent variables; Step (7): Determine the benchmark model of substation energy consumption; Step (8): Evaluate the energy efficiency of the substation.

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Abstract

The invention relates to a multivariate linear regression modeling method for transformer substation energy consumption reference correction. The method specifically comprises the following specific steps: step (1) establishing a multivariate linear regression equation: y = [beta]0 + [beta]1x1 + [beta]2x2 + and the like + [beta]pxp +[epsilon]; step (2), estimating a constant term and a regressioncoefficient in the multivariate regression equation, specifically comprising solving an unknown parameter [beta]0, [beta]1,and the like, [beta]p by utilizing a least square estimation method; whereinthe estimated value of the regression equation is as shown in the specification, and the estimated value of the regression equation is as shown in the specification, so that the sum of squares of thedeviation of the regression equation is the minimum; step (3) verifying the significance of the multivariate regression equation, specifically comprising F detection, complex judgment coefficient detection and regression coefficient t detection; and step (4) selecting an independent variable by adopting a step-by-step regression method.

Description

technical field [0001] The invention relates to the technical field of substation evaluation, in particular to a multivariate linear regression modeling method for substation energy consumption benchmark correction. Background technique [0002] The commonly used substation energy efficiency assessment based on the gray analytic hierarchy process is a horizontal assessment between substations, and it is impossible to conduct a vertical energy efficiency assessment before and after the transformation of substation energy efficiency. In the process of improving the energy efficiency of substations, an important problem is how to evaluate the energy saving effect after the transformation. The changes in energy consumption of substations before and after the transformation are caused by the implementation of the transformation measures on the one hand, and on the other hand, the operating factors and factors of the substation Environmental factors have changed, resulting in chan...

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Application Information

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IPC IPC(8): G06F17/50G06F17/18
CPCY04S10/50
Inventor 李建华王淼
Owner JIANGSU ELECTRIC POWER CO
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