Error calculating method and system

Abstract

The present invention discloses an error calculating method and system. The method comprises: determining influencing factors of an electric transformer, wherein the influencing factor comprises an operating temperature and residual magnetism of the electric transformer, and a combination of one or more of an electric field, a magnetic field, a high voltage leakage current and a frequency measured by the electric transformer at a time; separately acquiring a monitoring value xAr corresponding to each influencing factor; separately according to the monitoring value xAr corresponding to the influencing factor and a cloud model, acquiring a total number L of cloud droplets, and separately according to the monitoring value xAr and the total number L of cloud droplets, calculating to acquire a running variation FA corresponding to the influencing factor; separately acquiring an MDTW distance of the influencing factor, performing weighted integration processing on the MDTW distances of all the influencing factors and the running variations FA corresponding to all the influencing factors to obtain an integration running variation delta F; and, according to the integration running variation delta F and an extrapolation error of the electric transformer, obtaining a dynamic error of the electric transformer. According to the error calculating method and system, the dynamic change of errors can be completely characterized and measured, so that the accuracy of calculating dynamic errors of the electric transformer is improved.

Description

technical field [0001] The invention relates to the field of error estimation, in particular to an error calculation method. The invention also relates to an error calculation system. Background technique [0002] The operation management of the electric energy metering device includes on-site inspection and periodic rotation, but these two management methods cannot monitor it in real time, it is difficult to find problems between the two on-site inspections in time, and it is impossible to give early warning of the fault of the electric energy metering device, so this This management method has been difficult to meet the requirements of refined management of electric energy metering. The error level of electric energy measurement is composed of the errors of the four parts of the electric energy meter, the voltage transformer and the current transformer, and the secondary circuit. Due to the diversity and internal correlation of the sources of errors in each part, the exis...

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Problems solved by technology

[0003] The current secondary load error simulation method can be extrapolated to obtain the ratio difference f of voltage and current transformers SI , f SU and phase difference δ SI ,δ SU , but this method only considers the effects of secondary load, primary current and voltage, and does not take into account the operating temperature of the power transformer, the external electric field of the primary side of the power transformer, the magnetic field of the primary side of the power transformer, and the power mutual inductance The operation variation caused by the remanence of the device, high voltage leakage current and frequency, etc., makes this method unable to fully characterize the dynamic changes of the measurement error, and the accuracy is poor

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