Background
Type: Article

A new identification model for power system transfer functions

Journal: Electric Power Components and Systems (15325016)Year: 2003Volume: 31Issue: Pages: 513 - 524
DOI:10.1080/15325000390127039Language: English

Abstract

This paper presents a new model for the identification of the power system transfer functions. The usual model has been to use the shift operator q, or its equivalent z transform, but this gives inaccurate results with the small sampling times that are now used in modern controllers. It is shown by a comparison that this problem can be resolved by using the delta operator δ instead. This is shown by a multimachine example using both operators. The simulation results show that the delta operator formulation reflects the dynamic behavior of the system more accurately. © 2003 Taylor & Francis.


Author Keywords

ControlIdentificationPower systems

Other Keywords

AlgorithmsComputer simulationConvergence of numerical methodsLeast squares approximationsMathematical modelsMathematical transformationsParameter estimationSelf tuning control systemsTransfer functionsLinear discrete time modelRecursive least squares estimationElectric power systems