A novel online monitoring system of frequency oscillations based intelligence phasor measurement units

In this paper, frequency oscillation has been present as it is an important issue in power systems, especially when joined to the new trend use alternative energies energy source, well be a big risk for inter-connection of modern electric networks. Wind farm acts and connected two buses on Iraqi system. Because low-frequency monitoring needs accurate fast, main objective propose novel online system consisting phasor measurement unit's (PMU) with artificial intelligence neural network (PMU-NN). The location units optimized using (graph-theoretic procedure algorithm) function (NN) radial basis (RBFNN). data information from inputs then predictions are made Information (target). MATLAB toolboxes (PSAT & NN) used obtain results. Finally, results, validity proposed (PMU-NN) proven tested grid (24 bus) several cases places comparison was analysis model.