Power measurement method for electric energy meter verification device based on Kalman filtering algorithm

Abstract

The invention discloses a power measurement method for an electric energy meter verification device based on the Kalman filtering algorithm. The method comprises steps that Kalman filter parameters are initialized; the Kalman gain is calculate based on the covariance of a previous state, and a current power value is predicted in combination with an optimal power value of the previous state; the concept of the residual change rate is introduced, and anti-disturbance processing is performed for Kalman; the initial covariance of a next state is calculated, related data is updated, and lastly, return to the Kalman filtering optimal value is performed. The method is advantaged in that the concept of the residual change rate is introduced for traditional Kalman filtering, the anti-interference ability of the industrial site is improved, Kalman filtering has good smoothness, an accurately measure power value in real time can be obtained, voltage and current measurement can be further extended, Kalman filtering is introduced into the energy metering industry to verify high and low voltage energy meters, and certain exemplary meaning is achieved.

Description

technical field [0001] The invention relates to a power measurement method, in particular to a power measurement method of a high and low voltage electric energy meter verification device based on a Kalman filtering algorithm. Background technique [0002] In the electric energy meter measurement industry, it is necessary to use high and low voltage verification devices to calibrate and verify the high-voltage and low-voltage measuring instruments that leave the factory. [0003] Since the current power algorithm is to sample the 16-cycle wave sampled by the ADC, there is a time delay of 320ms, and the power calculated by the system cannot reflect the actual power value of the system in real time, so there must be certain errors when tracing the source and verifying the energy meter. Low precision. In addition, there are inevitably disturbances or faults in the operation of the system, which will cause the Kalman algorithm to diverge and affect the verification or traceabil...

AI Technical Summary

Problems solved by technology

[0003] Since the current power algorithm is to sample the 16-cycle wave sampled by the ADC, there is a time delay of 320ms, and the power calculated by the system cannot reflect the actual power value of the system in real time, so there must be certain errors when tracing the source and verifying the energy meter. low precision

In addition, there will inevitably be disturbances or faults in the system operation, which will cause the Kalman algorithm to diverge and affect the verification or traceability of the system

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