Prediction of power system generator self-excitation using pattern recognition

Power-system generators may experience self-excitation overvoltages due to certain contingencies. In an attempt to derive a novel self-excitation (SE) preventive scheme, the authors describe a prediction system based on pattern-recognition techniques. Several design approaches are explained. A hyperplane discriminant is used to define the predictor surface. An algorithm is developed to reduce the number of telemetered channels required and hence the complexity of the prediction system structure. Moreover, a fast corrective algorithm designed to provide security improvement action is explained. The system studied is the Manitoba Hydro northern AC collector system where SE is the operating problem of concern. The results obtained prove the effectiveness of the proposed prediction scheme