PMU based monitoring and forecasting of power system voltagestability by using neural networks

In this paper proposed a Methodology for the online monitoring and assessment of voltage stability margins (VSM), using artificial neural networks and input data from the local phasor measurement unitsin power system. In this methodology, first the system model is simulated using digisilent 14. Then Optimal PMU placement was carried out considering outage line operating conditions whit application of GA algorithm and supervised learning ofartificialneural networks is carried out on the basis of this model. Finally, on the basis of trained network and the set of system variables, monitoring is carried out along with the assessment of voltage stability margins for power system buss.Results for studiedbased on the New England 39-bus power systemhave been obtained to demonstrate the effectiveness of the algorithm

کلیدواژه ها:

Voltage Stability Margin ، PMU ، Neural Networks