A Method for Measuring Error Analysis of Electric Energy Meters Based on Adaptive Shrinking Ridge Regression
A technology of measurement error and ridge regression, which is applied in the field of measurement error analysis of electric energy meters based on adaptive shrinkage ridge regression, can solve the problems of low efficiency, measurement inaccuracy, high economic cost, etc., and achieve saving time and economic cost, easy to implement Effect
Active Publication Date: 2022-07-01
QINGDAO TOPSCOMM COMM
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Problems solved by technology
Whether the energy meter can accurately measure is related to the trust relationship between the user and the power company. For the energy meter in real life, due to its own quality problems, the use of the environment, and the use of time, measurement inaccuracy may occur. If the energy meter Inaccurate measurement will inevitably bring economic losses to one of the power supply and consumption parties
At present, power companies generally adopt the method of regularly replacing the electric meter or manually using the instrument to check the measurement inaccuracy of the electric energy meter, but the time and economic cost are high and the efficiency is low.
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[0042] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to illustrate the present invention, but not to limit the present invention.
[0043] combined with figure 1 , an energy meter measurement error analysis method based on adaptive shrinkage ridge regression, comprising the following steps:
[0044] Step 1, the multi-epitope meter box monitoring unit (LTU) collects the 15-minute granularity active power data (hereinafter referred to as the sub-meter power data) of the 15 sub-meters in the meter box and the 15-minute granularity active power data at the incoming line of the meter box (below). Referred to as total meter power data), the collection time is 24 hours, a total of 96 data points;
[0045] Step 2: Subtrac...
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The invention discloses an electric energy meter measurement error analysis method based on self-adaptive shrinkage ridge regression. Subtract the sum of all sub-meter power data from the total meter power data to obtain the meter box power deviation curve; define the objective function of the power deviation value and the sub-meter power in the box, and calculate the initial solution of the estimated coefficient according to the ridge regression model; shrink the initial value through the adaptive iterative process Obtain the final solution of the estimated coefficients; calculate the evaluation index reflecting the fitting degree of the regression fitting deviation curve and the power deviation value curve - fitting mean square error value and fitting cosine similarity; according to the fitting mean square error value, fitting The value of cosine similarity and estimated coefficient is used to judge out-of-tolerance users. The invention only needs to add LTU equipment, and can carry out measurement error analysis by acquiring the electric power data of all sub-meters and total meters in the meter box, which is easy to implement and saves time and economic cost.
Description
technical field [0001] The invention relates to the technical field of distribution network automation, in particular to an electric energy meter measurement error analysis method based on adaptive shrinkage ridge regression. Background technique [0002] With the continuous increase of electricity consumption in society as a whole, the electric energy meter used to measure electricity consumption has been paid more and more attention. Whether the electric energy meter can be accurately measured is related to the trust relationship between the user and the power company. For the electric energy meter in real life, due to its own quality problems and the influence of the use environment and use time, measurement inaccuracy may occur. If the electric energy meter Inaccuracy of metering occurs, it will inevitably bring economic losses to one of the power suppliers. At present, power companies generally adopt the method of regularly replacing electric meters or manually using i...
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IPC IPC(8): G01R35/04G06K9/62
CPCG01R35/04G06F18/22
Inventor 范建华曹乾磊黄晓娅王磊梁浩徐体润彭绍文张长帅
Owner QINGDAO TOPSCOMM COMM