Application of Neural Networks for Power System Security Evaluation

A crucial part of power system operation is on-line power system security evaluation which involves monitoring, assessment and control to decide whether the system's operating state is safe, critical or unsafe. Fast and accurate security assessment has become a key issue to ensure secure operation of modern power systems. Artificial Neural Network (ANN) based techniques are best suited for discriminating between secure and insecure states in terms of overloads and voltage variations while examining large sets of power system contingencies. This paper gives an extended bibliographical survey and statistics of the various ANN approaches applied for power system security evaluation. A total of 230 papers are reported for the period 1989-2009.