Random impulse noise is the key factor affecting the broadband power line carrier(BPLC)in the electric energy information acquisition system. And there is a lack of standardized modeling and implementation of broadband power line noise in current evaluation and testing techniques. The classic Middleton Class-A impulsive noise model is researched and the conditions for the binomial distribution to approximate Poisson distribution are analyzed. Based on the Bernoulli experimental model

the threshold of pseudo-random sequence generated by the full cycle linear congruence method is set up according to the pulse index in the Middleton Class-A

and a Poisson sequence of a specific intensity is obtained by determining this threshold. The noise variance of the specific state is obtained after being calculated in the weighting factor part

then multiplied by Gaussian white noise sequence. The System Generator modular design method of Class-A impulse noise can achieve fast algorithm verification. By comparing the statistical characteristics of field programmable gate array(FPGA)output and theoretical random impulse noise

the validity and accuracy of the method are proved. This work is supported by Post-doctoral Science Foundation of China(No. 2015T80961)

Chongqing Natural Science Foundation(No. cstc2016jcyjA0214)and State Grid Corporation of China.