Robust Fault Detection Scheme for Synchronous Generator Having Nonlinear Uncertain Measurements Along With Perturbation

Accurate and fast detection of faults is one of the main concerns of power systems for their operation and productivity. In this paper, a robust dynamic fault detection filter is presented for a synchronous generator (SG) characterized by a highly non-linear model, having uncertainties and perturbations both in state and measurements. The filter is so designed that the residual signal is robust against model uncertainties, process disturbances on the one hand and sensitive to faults on the other hand. To this end, a so-called mixed
$\mathscr {H}_{-}/\mathscr {H}_{\infty} $
optimization is used to design the filter. The norm-based threshold is design which guarantee no false alarm. The effectiveness of the proposed approach is demonstrated by introducing synchronous generators in IEEE 9 and IEEE 39 Bus system, and considering different types of faults.