Optimization of ADC Channels of A Smart Energy Meter Including Random Noise Effects

This paper proposes a multiresponse process optimization through mixed response surface models. The robust design approach is used by involving noise effects in the optimization step. In order to illustrate our proposal, a prototype of an energy meter, based on an open source concept, is studied. The proposed device architecture assures easy development of new applications for the imminent migration to smart grid infrastructures and simple adjustments to comply with possible changes in the international power quality standards. The measurement data of the acquisition channels are collected from signals generated using a high-accuracy waveform generation module. Satisfactory results are obtained, and the multiresponse process optimization provides useful information about the smart energy meter firmware in relation to the suitable acquisition strategy in the signal frequency range of interest.