Real-time Stability Assessment of Power System using ANN without Requiring Expert Experience

Abstract

Nowadays, power systems should be operated in the highest level of utilization and near their stability limits because of economic reasons. So stability assessment of the power system to determine the stability limits has been always considered. In SCADA/EMS systems a constant value called security margin and steady-state stability limit are used to determine transient stability limit instead of time-domain simulation. The security margin that is almost constant for power systems is determined experimentally. In this article this constant is computed using a probabilistic neural network and this method is implemented on IEEE 39 bus. As a result, the performance of this neural network is suitable for this application.