IEEE Transactions on Power Systems · 1996 · 40 citations · 9 references
EngineeringElectrical EngineeringSystems EngineeringDynamical SystemsModel-based Systems EngineeringSystems ModelingPower System StabilityPower SystemsSensitivity AnalysisStabilityStability TheorySystem IdentificationEquilibrium Point AnalysisParameter Sensitivity AnalysisParametric System IdentificationPower System ModellingSensitivitySensitivity Analysis Of Model ParametersSystem StabilitySystem Stability Analysis
In this paper, the parametric sensitivities of a structure-preserving power system model are derived. The parametric sensitivities give the sensitivities of an equilibrium point with respect to a particular parameter of interest. A new invariant subspace parametric sensitivity (ISPS) is derived by projecting the total parametric sensitivity onto a particular eigenspace of interest. The ISPS provides the sensitivity of system stability. At a particular eigensubspace, ISPS of all the parameters under consideration are represented by a right eigenvector multiplied by a scalar /spl sigma/. Then the parameter which has the most influence on the subspace can be determined by selecting the largest value of /spl sigma/. The methodology is applied to a New England 39-bus system to identify components and parameters that are responsible fora possible system instability.
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