Construction Of Non-overlapping Decimation Dynamic Electric Energy Measurement Algorithm And Research On The Effect Of Noise On Power Measurement Algorithm

At present,with the construction of new power system,a high proportion of renewable energy and a high proportion of high-power non-linear power electronic and electrical equipment are connected to the power grid,and a large number of dynamic loads are introduced into the power grid,resulting in random,fluctuating and intermittent grid loads;however,the rapid fluctuation of dynamic loads leads to out of tolerance metering in energy meter and affects the fairness of energy trading;the reason for this is that the currently applied steady-state electric energy measurement algorithm cannot meet the requirements for accurate detection under dynamic load conditions;in addition,noise in the dynamic load signal also affects the accuracy of electric energy measurement algorithm.Therefore,in the field of signal detection processing,in recent years,many scholars at home and abroad have focused their research work on new algorithm for electric energy measurement under dynamic load conditions,solving the problem of inaccuracy of traditional electric energy measurement algorithm under dynamic scenarios and the evaluation of the impact of noise on the error of power measurement algorithm.Firstly,aiming at the problem of measurement inaccuracy of energy measurement algorithm under dynamic conditions,a non-overlapping decimation dynamic energy measurement algorithm is constructed.Aiming at the traditional active electric energy measurement algorithm adopted by energy metering chip,the sampling response coefficient matrix decimation method is adopted to propose a non-overlapping dynamic electric energy measurement algorithm,according to the simulation test results under OOK dynamic conditions,the error of the non-overlapping decimation dynamic electric energy measurement algorithm is 1.94×10^-4,which is about 3 orders of magnitude lower than that of traditional active electric energy measurement algorithm,effectively solves the problem of inaccuracy of the steady-state electric energy measurement algorithm under dynamic conditions.Secondly,in order to solve the problem of rapid evaluation of the error of the active power measurement algorithm under the influence of Gaussian colored noise,the relative limit error of active power measurement algorithm under the influence of Gaussian colored noise is derived theoretically.Based on the principle of the energy measurement chip,a model of the active power measurement algorithm is constructed,based on this,the limit error estimation model of the active power measurement algorithm caused by Gaussian colored noise is derived,and the influencing factors of the limit error of the power measurement algorithm under the influence of noise are explored,and the correctness of the relative limit error estimation model is verified by using Monte Carlo experimental methods,this relative limit error estimation model gives a universal method for evaluating the influence of Gaussian colored noise on the active power measurement algorithm.Then,aiming at the theoretical analysis of power measurement algorithm error caused by Gaussian white noise,the error model of power measurement algorithm caused by Gaussian white noise is constructed.The output noise distribution characteristics are investigated by deriving the output noise probability density function;the relative limit error estimation model of the power measurement algorithm caused by Gaussian white noise is derived;the problem of evaluation of the relative limit error of the active power measurement algorithm under the influence of Gaussian white noise is solved.Finally,in order to study the characteristics of load noise,the noise extraction method is studied.Based on the wavelet threshold denoising and wavelet packet threshold denoising algorithm,the wavelet threshold noise extraction method and the wavelet packet threshold noise extraction method are investigated;it is experimentally verified that the method can better preserve the noise distribution characteristics,variance characteristics and power characteristics;on this basis,the noise of the load current signal collected in the field is extracted and studied;it provides an effective means to extract and study the load noise.