Error control method for online operating smart electric energy meters based on full sample data thinking

Abstract

The invention relates to an error control method for online operating smart electric energy meters based on full sample data thinking. The method comprises the following steps: (1) installing a smartelectric energy meter cluster to form a tree topological structure; (2) introducing a virtual branch to correct a smart electric energy meter cluster topological model; (3) eliciting a flow conservation algorithm model; (4) acquiring the sample data of all smart electric energy meters; (5) substituting all the sample data into the flow conservation algorithm model to calculate the errors of all the smart electric energy meters; and (6) realizing precise control according to the error results of all the smart electric energy meters. The method applies the full sample data thinking to the 480 millions online operating smart electric energy meters of the state grid corporation, excavates massive electric energy data of a power user electric information acquiring system, measures the error data of all electric energy meters, uses whole data instead of a random sample, requires no external standard equipment, carries out smart electric energy meter remote calibration technology research, and enable power supplier and consumers to be able to understand the accuracy of energy metering devices in real time.

Description

technical field [0001] The invention belongs to the field of electric energy metering, in particular to an error control method of an online smart electric energy meter based on the thinking of full sample data. Background technique [0002] The accuracy of electric energy metering devices in operation has always been a hot issue that residents and State Grid Corporation are most concerned about. At present, the State Grid Corporation uses statistical analysis methods or adding online detection equipment to realize the supervision and evaluation of the operating errors of smart energy meters. Although the statistical analysis method has changed the single-phase electric energy meter used by residents in the past from regular rotation to random inspection, it is still the control of the overall batch; adding online monitoring equipment will definitely increase the purchase and maintenance costs of the enterprise. This method maintains Costly and limited. [0003] The curren...

AI Technical Summary

Problems solved by technology

Although the statistical analysis method has changed the single-phase electric energy meter used by residents in the past from regular rotation to random inspection, it is still the control of the overall batch; adding online monitoring equipment will definitely increase the purchase and maintenance costs of the enterprise. This method maintains Costly and limited

[0003] The current national grid error calibration method is the sampling measurement method, which uses random samples. Although it is representative, it is not accurate and there is a great possibility of missed detection.

[0004] After a preliminary search, no similar published patent documents were found

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