ANN based dynamic voltage security asessment for a practical power system

The process of determining whether a power system is secure or insecure is specially important under power market conditions. Voltage security is an indispensable aspect of power system security. In recent years, more and more researchers have focused theirs eye on dynamic aspect of voltage stability. In order to overcome the time-consuming deficiency of time domain simulation, this paper develops a new method to assess the dynamic voltage security of a practical power system. This method employs artificial neural network (ANN) to replace time- domain simulation for dynamic voltage security assessment. The trained ANN can output the dynamic voltage stability margin (DVSM), what´s more, both the accuracy and speed are satisfying. The method can meet the need of online applications and can be used to assess the transaction under power market conditions.