Dynamic voltage security assessment by a neural network based method

The voltage security problem is an indispensable aspect of power system security. Voltage stability limits constrain the loading capabilities of power systems. In recent years, some papers have shown that voltage stability is a dynamic problem. In practice static analysis methods, like power flow based methods, may have deficiency to evaluate voltage stability or voltage security problems. On the other hand, dynamic modeling and evaluation of voltage stability problem are complex, expensive and time consuming. In this paper. a neural network (NN) approach has been presented for this purpose. This NN can establish a mapping between operating conditions and dynamic voltage stability margin (VSM) of each bus. This analysis gives an insight about robustness of different buses and dynamic voltage security status of power system. The method has been examined on a portion of Iran's south-west transmission network. Obtained results confirm the validity of the developed approach. (C) 2003 Elsevier Science B.V. All rights reserved.