Evaluation of the impact of the electric network's quality on the appliance's signatures

The continuous increase in the demand for electrical energy has led to design of highly complex systems, which can even extend entire countries. In this context, active residential customer participation smart grid benefit from having control over a number data points related behaviour and devices connected it. load signatures are basis practical energy's consumption monitoring technologies, involve identifying an device determining their operating status. Although several identification techniques under development research laboratories, it is important note that studies on impact power system quality underlying these developments not yet clear. Knowing profiles depend environmental factors, user habits, other non-deterministic assess have order take into account systems be integrated grid. This focuses two central components approaches: (1) Presenting assessment different network faults loads, (2) Analysing quantifying each fault through behavioural models virtual simulation. study considers types loads generally encountered homes (linear non-linear). It then analyses characteristic quantities such as waveforms, effective current voltage values, reactive (harmonics) non-deforming (fundamentals). results simulations performed Simulink/Simscape show some flicker significant permanent while others (Voltage Sag) temporary sometimes insignificant effect.