Digital Metering of DC Energy Based on Power Big Data and Beetle Swarm Algorithm
In order to improve the accuracy of DC power metering,a digital DC energy measurement method based on power big data and beetle swarm algorithm is proposed.This paper uses multi period filtering algorithm to process power big data and ex-tract fundamental components of voltage and current,and identify and analyze harmonic components in power signals through harmonic metrology analysis technology.This paper designs a DC power metering process that combines adaptive comb filters and beetle swarm algorithm to achieve accurate measurement and correction of electrical energy.The test results show that when using the proposed method for measuring and processing direct current electricity,the relative error value of electricity metering is mostly below 10 W,with a minimum error value of 6.6 W.This can improve the accuracy of direct current electric-ity metering and has a relatively ideal metering effect.
electricity big databeetle swarm algorithmpower meteringmetering error
万方数据
维普
