IEEE Transactions on Power Delivery · 2005 · 89 citations · 13 references
EngineeringElectrical EngineeringCircuit TheoryPower ElectronicsTime Series AnalysisElectrical System DiagnosticsFault DetectionPower Grid AnalysisPower QualityPower System StabilityPower SystemsHeuristic AlgorithmsLine Stability AssessmentOnline Fault DetectionPhasor Measurement UnitsPotential Energy FunctionsPower System Fault AnalysisSystem Stability Analysis
Dynamic security of power systems during large disturbances requires fast, accurate online instability detection, yet existing methods mainly rely on global phasor measurements and heuristic algorithms. The study proposes an accurate online loss‑of‑synchronism detection technique using line voltage and current measurements. The technique employs the concept of potential energy in a line, derives instability conditions from energy‑function analysis, and requires no assumptions about power‑angle relationships or system equivalents.
Maintaining dynamic security of a power system subjected to large disturbances is of utmost importance. Fast and accurate online detection of instability is essential in initiating certain emergency control measures. The techniques reported in the literature involve mainly the application of global phasor measurements and heuristic algorithms. In this paper, an accurate technique for the online detection of loss of synchronism based on voltage and current measurements in a line is presented. The technique makes use of the concept of potential energy in a line. The conditions for the system instability are derived from energy function analysis. However, no assumptions are made regarding the power-angle relationship in a line, nor are any data on the system equivalents necessary in implementing the detection scheme.
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GRAPH THEORY WITH APPLICATIONS TO ENGINEERING AND COMPUTER SCIENCE
Narsingh Deo · Networks · 1975 · 1.3K citations
Decision trees for real-time transient stability prediction
S.M. Rovnyak, S. Kretsinger, James S. Thorp et al. · IEEE Transactions on Power Systems · 1994 · 231 citations
Chih‐Wen Liu, Mu‐Chun Su, Shuenn-Shing Tsay et al. · IEEE Transactions on Power Systems · 1999 · 153 citations
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