| Summary: | Thesis (M.Eng.)--Memorial University of Newfoundland, 2000. Engineering and Applied Science Bibliography: leaves 115-118 Voltage stability is one of the challenging problems in power system operation. This thesis deals with fast algorithms for Contingency Screening and Ranking (CS&R) for power system voltage stability studies. CS&R is one of the important components of on-line voltage stability assessment. Its purpose is to rapidly and accurately determine which contingencies may cause power system voltage instability according to their severity. -- First, two popular voltage stability analysis methods, Continuation Power Flow (CPF) and minimum singular value of Jacobian matrix, are studied in this thesis. Then, several existing CS&R methods are reviewed. Two of them, Reactive Support Index (RSI) and Generalized Curve Fitting (GCF) methods, are investigated in detail. -- Finally, based on the GCF method, two novel methods for CS&R are proposed in this thesis. After employing the two improved methods, reselecting curve fitting points and filtering out unreasonable nose points, the simulation results show that the proposed methods have the ability to provide a fast estimate of voltage stability margins and thus select the most severe contingencies. The proposed methods have been applied for different power systems. These methods have the potential to be implemented in any online voltage stability assessment scheme.
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